A specialized tool for generating formatted leaderboards of trending GitHub AI projects based on real-time star counts and activity.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install guanjia-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 guanjia-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 high-performance utility designed to keep developers and researchers at the forefront of the rapidly evolving AI landscape. By interfacing directly with the GitHub API, it identifies and ranks the most impactful AI, ML, and LLM repositories. This tool is a vital part of the Openclaw Skills ecosystem, enabling users to transform raw repository data into human-readable, styled leaderboards that are ready for immediate chat or report integration.
Built with efficiency in mind, the skill focuses on repositories that are gaining momentum within specific timeframes. It eliminates the noise of manual searching, providing a curated view of what the global developer community is currently building, star-rating, and scaling in the artificial intelligence sector.
GitHub AI Trends Use Cases
- Tracking daily, weekly, or monthly breakthroughs in the AI and LLM space.
- Generating competitive analysis reports for emerging machine learning frameworks.
- Curating high-quality resources for research and development teams.
- Identifying popular open-source projects for contribution or integration.
How GitHub AI Trends Works
- The skill queries the GitHub API using specific AI-related keywords and topic tags filtered by recent push activity.
- It collects repository data including star counts, descriptions, and primary languages.
- A deduplication process ensures only unique, relevant repositories are processed.
- The results are sorted by star count to determine the current trending status.
- The tool renders a clean, Markdown-formatted leaderboard optimized for direct chat display or documentation.
GitHub AI Trends Setup
The GitHub AI Trends skill is designed for zero-dependency operation using the Python standard library. To get started with this Openclaw Skills component:
# Basic usage for a weekly report
python3 scripts/fetch_trends.py --period weekly --limit 20
# For higher rate limits, export your GitHub token
export GITHUB_TOKEN='your_personal_access_token'
python3 scripts/fetch_trends.py --period daily
GitHub AI Trends Data Schema & Taxonomy
The skill provides structured information for each trending repository to ensure clarity and depth in reporting.
| Attribute | Description |
|---|---|
| Rank | The numerical position in the current leaderboard |
| Repository Name | The GitHub owner and repo identifier |
| Star Count | Total stars accumulated during the specified period |
| Period | The timeframe of the trend analysis (Daily, Weekly, Monthly) |
| Format | Markdown text by default, or raw JSON for integration |
Output can be toggled using the --json flag for machine-readable workflows.
GitHub AI Trends Advanced Features
- Multi-period analysis with support for daily, weekly, and monthly trend cycles.
- Rate limit optimization through GitHub Personal Access Token (PAT) integration.
- Flexible output modes including styled Markdown for humans and raw JSON for automated data pipelines.
- Lightweight footprint requiring no external pip dependencies, ensuring maximum portability across environments.
SKILL.md
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