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github-ai-trends

Generate markdown or JSON leaderboards of trending AI GitHub repositories.

1|2|Updated Mar 21, 2026
Search Tags:#automation#github#cli#ai#repositories#trending#leaderboard
One-click install
npx skills add https://github.com/bluegitter/QClaw --skill github-ai-trends-bluegitter
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-ai-trends
Source: https://github.com/bluegitter/QClaw/tree/main/resources/openclaw/config/skills/github-ai-trends
Command: npx skills add https://github.com/bluegitter/QClaw --skill github-ai-trends-bluegitter

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill streamlines discovering and sharing the most popular and recently active AI, ML, and LLM repositories on GitHub by automating search, deduplication, ranking, and formatting so you can produce a ready-to-post leaderboard without manual aggregation.

Core Features & Use Cases

  • Curated Trending Leaderboard: Searches GitHub by keywords and topics, deduplicates results, and ranks repositories by star count.
  • Flexible Periods & Outputs: Supports daily, weekly, and monthly periods and can output either a human-friendly markdown leaderboard or raw JSON for downstream processing.
  • Use Case: Generate a weekly top-N AI projects list for a newsletter, research digest, or engineering team update with minimal effort.

Quick Start

Fetch the weekly top 20 AI GitHub projects using the included script and paste the formatted stdout into the chat.

Frequently Asked Questions about github-ai-trends

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a trending AI GitHub repositories leaderboard for a newsletter?▼

Generate a trending AI GitHub repositories leaderboard by fetching search results, deduplicating entries, and sorting by star count to produce a ready-to-post markdown or JSON report. You can configure the period to daily, weekly, or monthly and set a limit for the top projects.

Can I output GitHub trending AI projects as raw JSON for downstream processing?▼

Yes, you can output GitHub trending AI projects as raw JSON for downstream processing. The skill supports flexible output formats, allowing you to select either a human-friendly markdown leaderboard or structured JSON data based on your workflow requirements.

Do I need a GitHub token to rank popular machine learning repositories by stars?▼

You do not strictly need a GitHub token to rank popular machine learning repositories by stars, but optional token authentication is supported. Using a token helps bypass rate limits when fetching search results for your trending reports.

What is the best way to track trending LLM projects on GitHub over time?▼

The best way to track trending LLM projects on GitHub over time is automating search aggregation to deduplicate and rank repositories by star count. This supports daily, weekly, or monthly monitoring for research digests and engineering updates.

Does the generated markdown leaderboard support filtering by specific AI topics?▼

The generated markdown leaderboard supports filtering by specific AI topics and keywords during the GitHub search phase. It applies these filters to fetch relevant repositories, then deduplicates and ranks the results by star count before formatting the output.

What are the limitations of using GitHub search for trending AI project reports?▼

A limitation of using GitHub search for trending AI project reports is that results depend on GitHub's search indexing and rate limits. The skill mitigates this with optional token authentication but cannot bypass underlying API restrictions or indexing delays.

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