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Claude cb8bb88b4f
refactor: Major repository enhancement v2.0 
This commit represents a comprehensive refactor and enhancement of the
entire repository, transforming it from a simple collection to a
searchable, analyzable, and well-documented resource.

## Fixed Issues
- Fixed broken link for Amp directory (./AMp/ → ./Amp/)
- Added missing Emergent and Traycer AI entries to README
- Fixed file extension for Traycer AI/plan_mode_prompts.txt
- Updated line count statistics for accuracy (30,000+ → 25,000+)

## New Infrastructure
- Created scripts/ directory with automation tools
- Added .gitignore for generated files and common artifacts
- Implemented comprehensive metadata system

## New Scripts
- generate_metadata.py: Generate searchable index with tool metadata
- validate.py: Automated repository validation and quality checks
- search.py: Search and filter tools by multiple criteria
- analyze.py: Generate statistics, charts, and comparisons

## Enhanced Documentation
- CONTRIBUTING.md: Comprehensive contribution guidelines
- CHANGELOG.md: Version history and release notes
- README.md: Complete reorganization with categories and search guide
- scripts/README.md: Documentation for all automation tools

## Individual Tool READMEs
- Anthropic/README.md: Claude models documentation
- Cursor Prompts/README.md: Cursor AI system documentation
- Open Source prompts/README.md: Open source tools overview

## Improved Organization
- Reorganized tools by category (IDE, AI Agent, Code Assistant, etc.)
- Added Quick Start section with usage examples
- Added Search & Discovery section
- Better categorization and navigation

## Features
- Searchable metadata index (32 tools, 96 files, 20K+ lines)
- Category-based browsing (11 categories)
- Company and model filtering
- Automated validation checks
- Statistics and analysis tools
- Comparison table generation

## Statistics
- 32 AI tools documented
- 96 total files (76 txt, 15 json, 5 md)
- 20,045 lines of prompts and configuration
- 11 distinct categories
- 4 new Python scripts for automation

Version: 2.0.0
2025-11-15 02:08:32 +00:00
..
Bolt Create Prompt.txt 2025-04-21 16:49:47 +02:00
Cline Create Prompt.txt 2025-04-21 16:35:32 +02:00
Codex CLI Rename system prompt files and update README.md to include new entries for Claude Code and Gemini CLI 2025-08-22 20:12:45 +08:00
Gemini CLI Rename system prompt files and update README.md to include new entries for Claude Code and Gemini CLI 2025-08-22 20:12:45 +08:00
Lumo Update Prompt.txt 2025-10-19 20:43:24 +02:00
RooCode Create Prompt.txt 2025-04-21 16:34:01 +02:00
README.md refactor: Major repository enhancement v2.0 2025-11-15 02:08:32 +00:00

README.md

Open Source AI Coding Tools

Collection of system prompts from open-source AI coding assistants and tools.

📂 Tools Included

Bolt

AI-powered full-stack web development tool.

  • Focus: Rapid prototyping and deployment
  • Stack: Modern web frameworks

Cline

Autonomous coding agent for VSCode.

  • Focus: Multi-file editing and task execution
  • Integration: VSCode extension

Codex CLI

Command-line interface for OpenAI Codex.

  • Focus: Terminal-based coding assistance
  • Platform: Cross-platform CLI

Gemini CLI

Google's Gemini model CLI interface.

  • Focus: Code generation and analysis
  • Model: Gemini Pro

Lumo

Lightweight AI coding assistant.

  • Focus: Minimalist, efficient coding help
  • Approach: Simple, focused interactions

RooCode

Comprehensive AI coding assistant.

  • Focus: Full-featured development support
  • Features: Multiple modes and capabilities

🌟 Why Open Source?

These tools demonstrate:

  • Transparency: Open system prompts show how AI tools work
  • Learning: Study prompt engineering techniques
  • Customization: Adapt prompts for your needs
  • Innovation: Build upon existing work

📊 Comparison

Tool Lines Focus Best For
Bolt ~21K Web Dev Full-stack apps
Cline ~47K VSCode IDE integration
Codex CLI ~24K Terminal CLI workflows
Gemini CLI ~19K General Google ecosystem
Lumo ~8K Lightweight Simple tasks
RooCode ~44K Comprehensive Complex projects

🛠️ Using These Prompts

  1. Study: Learn prompt engineering patterns
  2. Adapt: Customize for your use case
  3. Integrate: Use with compatible LLMs
  4. Contribute: Improve and share back

📝 License

Each tool has its own license. Please check individual directories for details.

🤝 Contributing

To add new open-source tools:

  1. Ensure the tool is truly open source
  2. Include all relevant prompt files
  3. Add metadata and description
  4. Update this README

← Back to main repository