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Prompt_Catalog/notes/Prompt Catalog Features.md

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Prompt Catalog

  • June 21, 2025: Initial planning

Overview & Purpose

The Prompt Catalog is a centralized repository for prompts used in various applications, such as AI models or chatbots. It aims to provide a structured way to store, search, and categorize prompts for easy access and management. It will serve as a comprehensive and user-friendly catalog of prompts that can be easily searched, categorized, and tagged, enhancing the usability and discoverability of prompts for developers and users alike.

Features

  • Storage: Store prompts, metadata, and (future) users in Supabase (self-hosted or cloud).
  • Prompt Metadata: Include metadata for each prompt:
    • Type (System, Task)
    • Title
    • Description
    • Tags
    • Creation date
    • Last modified date
  • Categorization: Organize prompts into types (System, Tasks) for easier navigation.
  • Tagging System: Use tags to describe prompts for better filtering.
  • Search Functionality: Quickly find prompts by keywords, tags, or text search.
  • AI Integration: Connect to AI models via API (OpenAI, Together, Ollama, etc.) to suggest prompts based on user input or context.
  • Export/Import: Allow users to export prompts in JSON format and import them back.

Technical Details

  • Web Interface: A user-friendly web interface to view, search, and manage prompts.
    • See notes/Front End Interface.png for mockup.
  • Database: Use Supabase for storing prompts and metadata.
    • Tables:
      • prompts: Stores prompt details (id, type, title, description, tags, created_at, updated_at).
      • users: (Future) Stores user information (id, username, email, created_at).
      • user_prompts: (Future) Stores user contributions and favorites (user_id, prompt_id, created_at).
  • Authentication: Implement user authentication for future features (e.g., user profiles, contributions).
  • Deployment: Host the application on a platform like Vercel or Netlify for the front end, and Supabase for the backend.
  • Front End: Use AHA Stack (Astro, HTMX and Alpine.js) for a modern, responsive user interface.
    • Astro: For static site generation and routing.
    • HTMX: For dynamic content loading and interactions without full page reloads.
    • Alpine.js: For lightweight interactivity and state management.
  • Back End: Use Supabase's built-in API for database interactions.
  • AI Integration: Use OpenAI or other AI APIs to suggest prompts based on user input.

Future Enhancements

  • User Profiles: Create profiles for users to manage their contributions and favorites.
  • User Contributions: Allow users to submit their own prompts to the catalog.
  • Favorites: Users can mark prompts as favorites for easy access later.
  • Rating System: Rate prompts to help others find the best ones.
  • Version Control: Track changes to prompts over time.
  • API Access: Provide an API for external applications to access the catalog.
  • Sharing: Enable sharing of prompts via links or social media.