Agent skill

github-explorer

Deep-dive analysis of GitHub projects. Use when the user mentions a GitHub repo/project name and wants to understand it — triggered by phrases like "帮我看看这个项目", "了解一下 XXX", "这个项目怎么样", "分析一下 repo", or any request to explore/evaluate a GitHub project. Covers architecture, community health, competitive landscape, and cross-platform knowledge sources.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill github-explorer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/analysis/github-explorer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# GitHub Explorer — 项目深度分析 > **Philosophy**: README 只是门面,真正的价值藏在 Issues、Commits 和社区讨论里。 ## Workflow ``` [项目名] → [1. 定位 Repo] → [2. 多源采集] → [3. 分析研判] → [4. 结构化输出] ``` ### Phase 1: 定位 Repo - 用 `web_search` 搜索 `site:github.com <project_name>` 确认完整 org/repo - 用 `search-layer`(Deep 模式 + 意图感知)补充获取社区链接和非 GitHub 资源: ```bash python3 skills/search-layer/scripts/search.py \ --queries "<project_name> review" "<project_name> 评测 使用体验" \ --mode deep --intent exploratory --num 5 ``` - 用 `web_fetch` 抓取 repo 主页获取基础信息(README、Stars、Forks、License、最近更新) ### Phase 2: 多源采集(并行) 以下来源**按需检查**,有则采集,无则跳过: | 来源 | URL 模式 | 采集内容 | 建议工具 | |---|---|---|---| | GitHub Repo | `github.com/{org}/{repo}` | README、About、Contributors | `web_fetch` | | GitHub Issues | `github.com/{org}/{repo}/issues?q=sort:comments` | Top 3-5 高质量 Issue | `browser` | | 中文社区 | 微信/知乎/小红书 | 深度评测、使用经验 | `content-extract` | | 技术博客 | Medium/Dev.to | 技术架构分析 | `web_fetch` / `content-extract` | | 讨论区 | V2EX/Reddit | 用户反馈、槽点 | `search-layer`(Deep 模式) | #### search-layer 调用规范 search-layer v2 支持意图感知评分。github-explorer 场景下的推荐用法: | 场景 | 命令 | 说明 | |------|------|------| | **项目调研(默认)** | `python3 skills/search-layer/scripts/search.py --queries "<project> rev

What's inside
Steps it walks through
  1. Workflow
  2. Phase 1: 定位 Repo
  3. Phase 2: 多源采集(并行)
  4. 抓取降级与增强协议 (Extraction Upgrade)
  5. Phase 3: 分析研判
  6. Phase 4: 结构化输出
  7. Execution Notes
  8. ⚠️ 输出自检清单(强制,每次输出前逐条核对)
  9. Dependencies
Ships with 1 file
  • metadata.json
Commands it runs
python3 skills/search-layer/scripts/search.py \
python3 skills/content-extract/scripts/content_extract.py --url <URL>
More from claude-skill-registry
All skills →
About this skill
What does the github-explorer skill do?

Deep-dive analysis of GitHub projects. Use when the user mentions a GitHub repo/project name and wants to understand it — triggered by phrases like "帮我看看这个项目", "了解一下 XXX", "这个项目怎么样", "分析一下 repo", or any request to explore/evaluate a GitHub project. Covers architecture, community health, competitive landscape, and cross-platform knowledge sources.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill github-explorer --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.

Keep going