Generate formatted leaderboards of trending AI projects on GitHub directly in your chat interface.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install github-ai-trends
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-ai-trends 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 AI Trends?
GitHub AI Trends is a specialized skill designed to track and report on the most popular AI, Machine Learning, and LLM projects on GitHub. By integrating this capability into Openclaw Skills, users can instantly retrieve styled leaderboards that highlight repos gaining significant traction in the community.
This tool is essential for developers and researchers who need to stay on top of the rapidly evolving AI ecosystem without manually scouring GitHub. It provides structured insights into project growth and popularity across daily, weekly, or monthly windows.
GitHub AI Trends Use Cases
- Identifying viral AI repositories for research or competitive analysis.
- Generating weekly reports on the most-starred Large Language Model (LLM) projects.
- Automated tracking of new AI tools and frameworks as they gain popularity.
- Curating lists of trending open-source AI projects for newsletters or community updates.
How GitHub AI Trends Works
- The skill queries the GitHub API to search for repositories tagged with AI-related keywords and topics.
- It filters repositories based on the requested period (daily, weekly, or monthly) and star count.
- The system deduplicates entries and sorts them to identify the top-performing projects.
- It outputs a pre-formatted Markdown leaderboard that is ready for immediate display in any compatible interface.
GitHub AI Trends Setup
To get started with this skill in your Openclaw Skills environment, ensure you have Python 3 installed. Use the following commands to generate a trend report:
# Generate a weekly leaderboard of the top 20 AI projects
python3 scripts/fetch_trends.py --period weekly --limit 20
# To avoid rate limiting, export your GitHub token
export GITHUB_TOKEN='your_personal_access_token'
python3 scripts/fetch_trends.py --period monthly
GitHub AI Trends Data Schema & Taxonomy
The skill organizes GitHub repository metadata into a clean, readable format. The following fields are typically included in the output leaderboard:
| Attribute | Description |
|---|---|
| Name | The full name of the repository (user/repo) |
| Stars | Total stars or stars accumulated during the period |
| Description | A brief summary of the AI project's functionality |
| URL | The direct link to the GitHub repository |
GitHub AI Trends Advanced Features
- Support for authenticated API requests to increase rate limits from 10 to 30 requests per minute.
- Multi-period analysis allowing users to toggle between daily, weekly, and monthly views.
- Raw JSON output mode for developers who want to pipe data into other Openclaw Skills or analytical tools.
- Zero external dependencies, utilizing only the Python standard library for high reliability and security.
SKILL.md
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