system-prompts-and-models-o.../Open Source prompts/README.md
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

78 lines
2.1 KiB
Markdown

# Open Source AI Coding Tools
Collection of system prompts from open-source AI coding assistants and tools.
## 📂 Tools Included
### [Bolt](./Bolt/)
AI-powered full-stack web development tool.
- Focus: Rapid prototyping and deployment
- Stack: Modern web frameworks
### [Cline](./Cline/)
Autonomous coding agent for VSCode.
- Focus: Multi-file editing and task execution
- Integration: VSCode extension
### [Codex CLI](./Codex%20CLI/)
Command-line interface for OpenAI Codex.
- Focus: Terminal-based coding assistance
- Platform: Cross-platform CLI
### [Gemini CLI](./Gemini%20CLI/)
Google's Gemini model CLI interface.
- Focus: Code generation and analysis
- Model: Gemini Pro
### [Lumo](./Lumo/)
Lightweight AI coding assistant.
- Focus: Minimalist, efficient coding help
- Approach: Simple, focused interactions
### [RooCode](./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
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