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Prompt_Catalog/Development Checklist.md
2025-06-21 11:51:18 -05:00

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Prompt Catalog Development Checklist

🔧 Phase 1: Planning & Setup

  • Review and finalize requirements from Prompt Catalog Features.md
  • Choose JavaScript framework (React, Vue, etc.)
  • Set up Supabase project
    • Create prompts table
    • Create users table (future)
    • Create user_prompts table (future)
  • Define JSON structure for import/export
  • Choose hosting platform (Vercel, Netlify, etc.)

🧱 Phase 2: Database & API

  • Define and implement Supabase schema
  • Set up Supabase RLS rules (if applicable)
  • Connect frontend to Supabase using client API

🖼 Phase 3: Front-End Interface

  • Build static UI from Front End Interface.png
    • Sidebar navigation (System / Task)
    • Search bar with filters
    • Prompt list display
    • Prompt detail view
    • Tags display and interaction
  • Integrate UI with Supabase for live data
  • Implement CRUD operations for prompts

🔍 Phase 4: Search & Tagging

  • Implement keyword and full-text search
  • Add filter by:
    • Type (System, Task)
    • Tags (multi-select)
  • Create tag suggestion/autocomplete

🤖 Phase 5: AI Integration

  • Set up API key management (e.g., OpenAI, Together, Ollama)
  • Add prompt suggestion UI for user input
  • Integrate with AI API to return prompt suggestions

📦 Phase 6: Import/Export

  • Implement prompt export to JSON
  • Implement prompt import from JSON with validation

🔐 Phase 7: Authentication & User Features (Future)

  • Add Supabase Auth for login/register
  • Create user profile UI
  • Track user-owned prompts
  • Enable user favorites system

🚀 Phase 8: Deployment & QA

  • Deploy frontend to hosting platform
  • Set up Supabase production environment
  • QA Testing:
    • UI functionality
    • Prompt CRUD operations
    • Search and filtering
    • Import/export behavior
  • Write usage documentation

🌱 Phase 9: Post-MVP Enhancements

  • Add prompt rating system
  • Implement version history tracking
  • Add social sharing (links, embed)
  • Provide external API for prompt access
  • Improve AI integration with context-aware suggestions