GitHub AI Trends

**Quick judgment** A focused, lightweight skill that reliably surfaces trending AI/ML/LLM GitHub repositories and presents them as a clean markdown leaderboard. Well-suited for discovery and trend reporting, with minimal integration friction thanks to no external dependencies. **Recommended scenarios** - When users explicitly ask for “trending AI projects,” “AI GitHub leaderboard,” or “popular AI repos” over a recent period. - As a component in weekly or monthly AI trend reports or newsletters generated via chat. - For product/tech researchers who want a fast view of current community interest in AI tools and libraries. - When downstream tools or prompts need structured data about top AI repos (via its JSON mode). **Key risks & limitations** - **GitHub API dependence:** Results and uptime depend on GitHub’s search API, including rate limits and any future API changes. Without a token, rate limiting may cause intermittent failures or incomplete results under heavy use. - **Heuristic AI filtering:** “AI-related” repos are inferred via keywords/topics; some relevant projects may be missed, and some non-AI repos may slip in. - **Unvetted third‑party content:** Returned repositories are not safety-audited; code or descriptions may contain insecure practices, offensive content, or low-quality implementations. - **Stability of ranking:** Using stars within a recent push window captures popularity, but not necessarily quality, correctness, or long-term relevance.