Automates tracking of Claude Code plugin adoption across GitHub repositories. Operations teams use it to monitor plugin usage trends and identify popular plugins. Connects to GitHub and n8n workflows for data collection and analysis.
git clone https://github.com/quemsah/awesome-claude-plugins.gitAutomates tracking of Claude Code plugin adoption across GitHub repositories. Operations teams use it to monitor plugin usage trends and identify popular plugins. Connects to GitHub and n8n workflows for data collection and analysis.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/quemsah/awesome-claude-pluginsCopy the install command above and run it in your terminal.
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Analyze GitHub repositories for adoption of Claude Code plugins. Track usage trends for [COMPANY] across [INDUSTRY] repositories. Identify top 5 most popular plugins and provide insights on their adoption rates. Connect to n8n workflows for data collection and analysis.
# Claude Code Plugin Adoption Analysis ## Top 5 Most Popular Plugins 1. **Data Visualization Pro** - Adoption Rate: 42.3% - Key Features: Interactive charts, real-time data updates - Industry: Finance, Healthcare 2. **Automated Reporting** - Adoption Rate: 38.7% - Key Features: Customizable templates, scheduled reports - Industry: Marketing, Operations 3. **Code Refactoring Assistant** - Adoption Rate: 35.2% - Key Features: AI-powered suggestions, version control integration - Industry: Software Development, IT 4. **API Integration Hub** - Adoption Rate: 30.5% - Key Features: Unified API management, real-time monitoring - Industry: E-commerce, SaaS 5. **Documentation Generator** - Adoption Rate: 28.9% - Key Features: Automated doc creation, multi-format support - Industry: Tech, Education ## Adoption Trends - **Overall Adoption Rate**: 35.1% - **Monthly Growth Rate**: 7.2% - **Top Adopting Industries**: Finance, Healthcare, Software Development - **Key Drivers**: Increased need for automation, AI integration, and data-driven decision making
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