A specialized skill for discovering trending GitHub repositories and summarizing project READMEs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install github-topics
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install github-topics using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is GitHub Topics Trending?
The GitHub Topics Trending skill enables AI agents to track the pulse of open source development by fetching real-time repository rankings and detailed project information. This tool is designed to bridge the gap between AI agents and the GitHub API, providing structured insights into the most popular codebases available today.
As part of the Openclaw Skills ecosystem, it provides structured access to GitHub's vast data, allowing users to stay updated on popular topics like Python or specific tools like claude-code without leaving their agent interface. Whether you are looking for new libraries or analyzing competitive landscapes, this skill delivers formatted, actionable data.
GitHub Topics Trending Use Cases
- Tracking the top 10 trending repositories for a specific programming language or topic.
- Generating concise summaries of project README files to understand repository purposes quickly.
- Comparing the popularity and star counts of various open source projects using Openclaw Skills.
- Monitoring the growth of specific ecosystems like Claude Code or AI-powered development tools.
How GitHub Topics Trending Works
- The agent parses the user query to determine if the intent is a ranking search or a repository detail request.
- It fetches live data from the GitHub API based on the specified topic or repository name.
- The skill optionally retrieves and summarizes the README content for specific repository deep dives.
- Finally, it formats the data into a clean, Markdown-ready table or summary for the user, leveraging the efficiency of Openclaw Skills.
GitHub Topics Trending Setup
To get started with this skill, install the necessary Python dependencies:
pip install requests
(Optional) To avoid rate limiting, set up a GitHub Personal Access Token:
export GH_TOKEN="your_github_token"
This step ensures your Openclaw Skills work reliably during high-volume queries by increasing the rate limit from 60 to 5,000 requests per hour.
GitHub Topics Trending Data Schema & Taxonomy
The skill organizes data into two primary structures to maintain consistency within the Openclaw Skills ecosystem:
| Component | Data Points |
|---|---|
| Rankings | Repository Name, Star Count, Language, Rank |
| Details | Full README summary, Star count, Primary Language, Repository URL |
Metadata is processed dynamically based on the GH_TOKEN status to ensure the most up-to-date repository stats are returned.
GitHub Topics Trending Advanced Features
- Custom topic tracking: Override the default topic by setting the TOPIC environment variable.
- Rate Limit Management: Automated handling of authenticated vs unauthenticated GitHub API states.
- Deep Content Retrieval: Capability to fetch and summarize raw README files for technical context.
- Integration Ready: Designed to work alongside other Openclaw Skills for automated developer research workflows.
SKILL.md
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