github-ai-trends

Rank top AI GitHub repositories by stars for daily, weekly, or monthly periods.

1|1|Updated Mar 22, 2026
One-click install
npx skills add https://github.com/polaris-dxz/xclaw --skill github-ai-trends
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: github-ai-trends
Source: https://github.com/polaris-dxz/xclaw/tree/main/apps/desktop/openclaw-runtime/config/skills/github-ai-trends
Command: npx skills add https://github.com/polaris-dxz/xclaw --skill github-ai-trends

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill helps teams quickly surface and share rising AI project trends from GitHub by collecting, ranking, and presenting top AI/ML/LLM repositories in an accessible leaderboard.

Core Features & Use Cases

  • Automated trend mining: Fetches top-starred AI/ML/LLM repos across daily, weekly, or monthly periods.
  • Formatted leaderboards: Outputs a clean markdown leaderboard with rank, stars, forks, language, and description for chat or docs.
  • Use Case: Ideal for technical reviews, competitive analysis, or research on the AI ecosystem.

Quick Start

Ask the AI to generate the weekly GitHub AI trends leaderboard and paste the results 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 find top trending AI repositories on GitHub by stars?

To find top trending AI repositories, this skill queries the GitHub search API and returns a ranked leaderboard of AI/ML/LLM repos sorted by stars. It automatically collects and formats repository data including rank, name, url, stars, forks, language, and description for immediate use in chat or docs.

Can I get a daily, weekly, or monthly GitHub AI trends leaderboard?

Yes, you can generate a GitHub AI trends leaderboard for daily, weekly, or monthly scopes. The skill filters repositories created or updated within your specified period and ranks them by total stars to identify rising AI projects.

What format does the GitHub AI ranking output return?

The GitHub AI ranking output returns either a clean markdown leaderboard or a raw JSON list. The markdown format is ideal for pasting into chat or documentation, while the raw JSON list provides structured data containing rank, name, url, stars, forks, language, and description.

Do I need a GitHub token to search top AI repositories?

You do not strictly need a GitHub token to search top AI repositories, but providing an optional token increases your GitHub search API rate limits. The skill handles API errors gracefully and functions without authentication for basic leaderboard queries.

How does automated trend mining for GitHub AI projects work?

Automated trend mining for GitHub AI projects works by querying the GitHub search API for AI/ML/LLM repositories over a set period, sorting them by stars, and compiling the results into a ranked leaderboard. This process surfaces rising projects without manual browsing.