fetch-github-trending
Fetch trending AI/ML repositories from GitHub and store them in memory. Uses HTTP requests for GitHub API and memory MCP for storage and deduplication. '
npx skills add majiayu000/claude-skill-registry --skill fetch-github-trending --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Fetch GitHub Trending Fetch and store trending AI/ML repositories from GitHub with deduplication. ## When to Use Use this skill when you need to: - Discover trending AI/ML tools and libraries - Find new repositories gaining traction - Collect repos for tool spotlight sections in digests ## Instructions ### Step 1: Define Search Topics Target these GitHub topics for AI/ML repos: - `machine-learning` - `deep-learning` - `llm` - `artificial-intelligence` - `nlp` - `transformers` - `computer-vision` ### Step 2: Build GitHub Search Query Construct a GitHub search API query: **Query pattern:** ``` topic:machine-learning OR topic:llm language:python stars:>100 pushed:>2026-01-25 ``` **Date calculation based on time range:** - `daily`: pushed in last 1 day - `weekly`: pushed in last 7 days - `monthly`: pushed in last 30 days ### Step 3: Fetch from GitHub API Use the `http_request` tool to query GitHub Search API. **API endpoint:** - URL: `https://api.github.com/search/repositories` - Method: GET - Parameters: q (query), sort (stars), order (desc), per_page (20) - Headers: Accept: application/vnd.github.v3+json **For each API response:** 1. Extract: full_name, description, html_url, starg
- When to Use
- Instructions
- Step 1: Define Search Topics
- Step 2: Build GitHub Search Query
- Step 3: Fetch from GitHub API
- Step 4: Check for Duplicates
- Step 5: Store New Repositories
- Step 6: Return Results
- Tool Usage Guidance
- httprequest tool
- memory/checkseen
- memory/add
- memory/markseen
- Repository Data Schema
What does the fetch-github-trending skill do?
Fetch trending AI/ML repositories from GitHub and store them in memory. Uses HTTP requests for GitHub API and memory MCP for storage and deduplication. '
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill fetch-github-trending --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.