PromptBase/checklist.md

Prompt Catalog Development Checklist

MVP Phases

This checklist outlines the phases for developing the Prompt Catalog MVP. Each phase includes specific tasks to complete.

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.)

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Phase 2: Database & API

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

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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

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Phase 4: Search & Tagging

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

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Phase 5: Import/Export

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

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Phase 6: Deployment & QA

• Set up frontend docker image and deployment compose file
• Set up Supabase production environment
• QA Testing:
  • UI functionality
  • Prompt CRUD operations
  • Search and filtering
  • Import/export behavior
• Write usage documentation

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Post-MVP Phases

Phase 7: 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

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Phase 8: Authentication & User Features (Future)

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

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Phase 9: Future 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