Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Generate GitHub AI trending project reports as formatted text leaderboards. Fetches top-starred AI/ML/LLM repos by daily, weekly, or monthly period and renders a styled leaderboard. Use when the user asks for AI project trends, GitHub trending, AI leaderboard, or wants to see popular AI repos.
Generate GitHub AI trending project reports as formatted text leaderboards. Fetches top-starred AI/ML/LLM repos by daily, weekly, or monthly period and renders a styled leaderboard. Use when the user asks for AI project trends, GitHub trending, AI leaderboard, or wants to see popular AI repos.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Generate formatted leaderboard of trending AI projects on GitHub, output directly to chat.
Run the script and paste its stdout as the reply: python3 scripts/fetch_trends.py --period weekly --limit 20
--period: daily | weekly | monthly (default: weekly) --limit: Number of repos (default: 20) --token: GitHub token for higher rate limits (or set GITHUB_TOKEN env) --json: Output raw JSON instead of formatted text
Searches GitHub API for AI-related repos (by keywords + topics) pushed within the period Deduplicates and sorts by star count Outputs a formatted markdown leaderboard ready for chat display
Without a GitHub token, API rate limit is 10 requests/minute. With token: 30/minute. No pip dependencies, uses only stdlib. Output is markdown formatted for direct chat display.
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.