README SEO Booster

🚀 AI-Powered GitHub README SEO Optimization

README SEO Booster is an intelligent agent-based system built with CrewAI that automatically enhances the search engine optimization (SEO) of GitHub repository README files, improving discoverability while maintaining your project's unique voice.

🤖 How It Works

This tool leverages a crew of specialized AI agents to optimize your GitHub README:

1. Keyword Miner Agent: Discovers trending and relevant SEO keywords for your repository using Bright Data's MCP
2. SEO Refiner Agent: Intelligently incorporates these keywords into your README file.
3. PR Bot Agent: Creates a pull request with the enhanced README for your review.

🌟 Key Features

• Non-intrusive optimization: Preserving your project's style
• Data-driven keyword selection: Uses real search results to identify trending keywords using Bright Data's MCP
• Streamlined workflow: Handles the entire process from keyword discovery to PR creation
• User-friendly interface: Available both as a command-line tool and a Streamlit web application

🔧 Installation & Setup

# Clone the repository
git clone https://github.com/YourUsername/README_SEO_BOOSTER.git
cd README_SEO_BOOSTER

# Install dependencies through UV

Environment Variables

Create a .env file with the following variables:

GEMINI_API_KEY=your_gemini_api_key
BRIGHTDATA_API_TOKEN=your_brightdata_token
GITHUB_PAT=your_github_personal_access_token

📊 Usage

Command Line Interface

# Navigate to the project root
cd path/to/README_SEO_BOOSTER

# Run the CLI
crewai run 

Web Interface (Streamlit)

# Navigate to the UI file location
cd path/to/README_SEO_BOOSTER/src/readme_seo_booster

# Run the Streamlit app
streamlit run ui.py

🧠 Technical Details

This project is built with:

• CrewAI - Framework for orchestrating role-playing AI agents
• BrightData MCP - For web data extraction
• GitHub MCP - For GitHub automation
• Streamlit - For the web interface

🤝 Contributing

Contributions are welcome! Feel free to open issues or submit pull requests.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📝 License

MIT License

🙏 Acknowledgements

• CrewAI for the amazing agent framework
• Bright Data for providing the web data tools
• GitHub for the GitHub automation capabilities