Fectivnfy112357/github-explore
Fectivnfy112357★ 0Python最后同步: 2026-08-16
Discovery + management wrappers around gh CLI for AI coding agents. find_repos, multi-axis explore, trending, repo summary, code search, issue/PR search, org audits.
README 摘要
github-explore Discovery + management wrappers around the gh CLI for AI coding agents. English · 简体中文 What is this github-explore is an agent skill that turns "search GitHub for X" into structured, deduplicated, relevance-scored output. It wraps gh search and gh repo view with smart filters, semantic multi-axis exploration, and layered output designed to keep an agent's context window small. When you ask an agent "find multi-agent collaboration repos" , you don't want a star-sorted dump of ollama, langchain, and a bunch of unrelated generic LLM frameworks. You want the canonical anchors (crewAI, autogen, MetaGPT, langgraph, camel, ChatDev, AutoGPT) surfaced first, with the protocol layer (A2A, ANP, ag-ui) as a separate axis, and awesome- lists pushed to the bottom. That's what this skill does. Why it exists Plain gh search has three structural problems for agent-driven research: 1. Star-sorted default = giant noise. A query for "multi-agent" returns ollama (180k★) and langchain (140k★) on top because GitHub sorts by popularity, not topical fit. 2. No semantic axes. "Search repos about Y" is a one-dimensional query. Real topics have multiple semantic facets (frameworks vs. protocols…
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