← ClaudeAtlas

github-stars-radarlisted

Use local GitHub starred repositories as agent memory before recommending libraries, examples, MCP servers, plugins, or implementation references.
NeoZhouCHN/github-stars-radar · ★ 4 · Code & Development · score 72
Install: claude install-skill NeoZhouCHN/github-stars-radar
# GitHub Stars Radar Use this skill when a task may benefit from the user's own starred repositories: library selection, MCP/plugin discovery, prompt/tool examples, reference implementations, or prior art for Codex, Claude Code, OpenClaw, and Hermes. ## When To Search Local Stars First - The user asks for reusable projects, libraries, plugins, MCP servers, or example repos. - The task resembles something the user may have already saved for later. - You need a shortlist of candidates before broader web research. - You want to avoid repeating analysis already saved in local agent memory. Call `search_stars` for keyword lookup, `recommend_stars_for_task` for task-based ranking, and `get_star` for one known repo. Use `sync_stars` for a fast metadata refresh; use `sync_readmes` only when README text is needed, and run it in small batches. ## When External Research Is Still Required For major route decisions, do not rely only on local stars. You must search the web and compare at least 3 mature external projects when the decision affects: - architecture shape - repository structure - commercialization or distribution - license - payment or account systems - deployment, compliance, or security route Local stars are a memory aid, not proof of current best practice. ## Output Shape When recommending repos, include: - repository name - why it fits - why it may not fit - cost or risk - next verification step If local sync fails but stale cache is available, keep working and