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.gitAwesome Claude Plugins is a comprehensive directory indexing the most popular Claude Code plugins and skills across GitHub, ranked by stars, subscribers, and plugin count. It provides operations teams and developers with real-time visibility into plugin adoption trends, helping identify which tools and frameworks gain traction in the AI coding ecosystem. The directory tracks over 21,000 repositories and highlights top performers like superpowers, ECC, and andrej-karpathy-skills, making it easy to discover proven, community-validated solutions. By aggregating metrics like subscriber counts and plugin counts, it helps teams benchmark usage patterns and select tools backed by strong community adoption.
1. **Set Up the Workflow:** Connect the `awesome-claude-plugins` skill to your GitHub account and n8n workflow. Ensure you have API access to the repositories you want to analyze. 2. **Define Scope:** Specify the plugin(s) you want to track (e.g., `claude-code-github-sync`) and the timeframe for analysis (e.g., last 30 days). 3. **Run the Analysis:** Execute the skill via your n8n workflow or directly in Claude. The skill will collect data on active users, trends, and geographic distribution. 4. **Review Output:** Examine the summary table and insights. Use the recommendations to prioritize plugin optimizations or marketing efforts. 5. **Iterate:** Schedule regular runs (e.g., weekly or monthly) to track trends and adjust strategies based on new data. **Tips for Better Results:** - Use **specific plugin names** to avoid broad or irrelevant data. - Combine this skill with **GitHub’s search filters** to narrow down repositories by language, size, or activity level. - For deeper insights, **cross-reference the data** with your n8n analytics dashboard to identify correlations between adoption and other metrics (e.g., plugin updates, marketing campaigns).
Monitor plugin adoption trends across the Claude Code ecosystem
Identify popular and trending AI coding skills and frameworks
Benchmark plugin usage metrics against top community projects
Discover production-grade skills for AI agent development
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.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Analyze the adoption of [PLUGIN_NAME] across GitHub repositories using the awesome-claude-plugins skill. For each repository, extract: 1) Total number of active users, 2) Recent plugin usage trends (last 30 days), 3) Geographic distribution of users, and 4) Common use cases mentioned in README files. Compare these metrics with the overall adoption rate of all Claude plugins. Highlight any repositories with unusual adoption patterns or high engagement. Output should include a summary table and actionable recommendations for plugin optimization.
### Claude Plugin Adoption Analysis: `claude-code-github-sync` **Summary:** The `claude-code-github-sync` plugin has shown strong adoption with **1,247 active users** across **892 repositories** in the last 30 days, representing a **15% growth** from the previous month. Below is a detailed breakdown of key metrics and insights: #### **Top 5 Repositories by Active Users** | Repository | Active Users | 30-Day Trends | Geographic Distribution | Primary Use Case | |------------|--------------|---------------|-------------------------|------------------| | `acme-corp/finance-automation` | 142 | +22% (↑) | US (68%), EU (22%), APAC (10%) | Automated PR reviews for financial models | | `tech-startup/ai-pipeline` | 98 | +18% (↑) | US (55%), EU (30%), APAC (15%) | Syncing Claude-generated code with GitHub PRs | | `data-science-lab/ml-experiments` | 87 | +12% (↑) | US (70%), EU (15%), APAC (15%) | Version control for Jupyter notebooks | | `enterprise-org/devops-tools` | 76 | +5% (↓) | US (80%), EU (10%), APAC (10%) | CI/CD pipeline integration | | `open-source-project/claude-plugins` | 65 | +30% (↑) | Global (US 40%, EU 35%, APAC 25%) | Community-driven plugin development | #### **Key Insights** 1. **Geographic Dominance:** The US leads in adoption (62% of users), followed by the EU (25%) and APAC (13%). However, APAC shows the highest growth rate (+20% MoM), suggesting emerging markets for plugin expansion. 2. **Use Case Patterns:** The plugin is primarily used for **automated PR reviews (45%)**, **code synchronization (30%)**, and **version control for AI-generated content (25%)**. 3. **Outliers:** The `open-source-project/claude-plugins` repository has an unusually high adoption rate (+30% MoM) despite being a newer project, indicating strong community interest. 4. **Declining Trend:** The `enterprise-org/devops-tools` repository shows a slight decline (-5% MoM), possibly due to internal tooling changes. #### **Recommendations** - **Expand in APAC:** Focus marketing efforts on APAC regions where growth is highest. Consider localized documentation or partnerships with regional tech communities. - **Optimize for PR Reviews:** Since 45% of users rely on the plugin for PR reviews, prioritize features like **custom review templates** or **AI-driven PR summaries** to enhance usability. - **Investigate Declining Trends:** Conduct a follow-up with the `enterprise-org/devops-tools` team to understand the drop in adoption. They may need additional support or feature updates. - **Leverage Community Growth:** The `open-source-project/claude-plugins` repository’s success suggests that **community-driven development** could be a key driver for future plugin adoption. Consider creating a dedicated plugin incubator program. **Next Steps:** - Schedule a meeting with the `acme-corp/finance-automation` team to explore advanced use cases. - Update the plugin’s documentation to include a **quick-start guide for APAC users**. - Monitor the `enterprise-org/devops-tools` repository for further declines and intervene if necessary. *Data sourced from GitHub API and n8n workflows on [2024-05-15].*
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