wechat-article
Skill0 starsChanged 5 months agoMITView on GitHub
公众号文章抓取 + 图文分析。当用户粘贴 mp.weixin.qq.com 链接（无论是否附带其他指令）时使用： 抓正文（保留段落结构）并下载全部配图到本地，然后逐张读图，连同文字一起分析。 触发词：公众号链接、"分析这篇文章"、"抓一下这篇"、mp.weixin.qq.com URL。
14 other projects use a version of this.
Adopted by
Most recently taken up by
- Diyforfun2026/wechat-article-skilltheir own version, first seen Nov 8, 2026
- StellarLucas/article-experttheir own version, first seen Nov 8, 2026
- CatCatUncle/openworkbuddytheir own version, first seen Nov 5, 2026
- JasmineNy/codex-skills-portfoliotheir own version, first seen Oct 20, 2026
- kuailexiaozixin/wechat-articletheir own version, first seen Oct 20, 2026
- windgeek/skillstheir own version, first seen Oct 15, 2026
Other versions14 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 14
- CatCatUncle/openworkbuddy★ 398same name
- EthanYoQ/Skill-hub★ 11same name
- 5tldr/claude-skills★ 9same name
- Diyforfun2026/wechat-article-skill★ 2same name
- lumisum/article-expert★ 2same name
- StellarLucas/article-expert★ 2same name
- LLL-178/cn-skills★ 1same name
- Mason-1011/Mason_Skills★ 1same name
- windgeek/skills★ 1same name
- zieang88888/zhskills★ 1same name
4 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repositoryOne other file it gives its agents.
- podcast-transcribeSkill
The file
Files
公众号文章抓取分析
流程
抓取（正文 + 全部配图落盘）：
python3 ~/.claude/skills/wechat-article/scripts/fetch.py "<mp.weixin.qq.com 链接>"- 输出
~/Archive/articles/<标题slug>/article.md+img/NN.png，stdout 是 article.md 路径 - 依赖 beautifulsoup4（已装）
- 输出
- 读取：Read article.md，然后 逐张 Read img/ 下的图片——研报类文章的核心证据 （图表、数据图、结构图）往往全在图里，跳过读图等于丢一半信息。
分析：默认输出「速读卡」——
- 核心论点（1-3 条，文章真正想证明什么）
- 关键证据（文字论据 + 图表各自说了什么，注明"图N"）
- 值得深挖的问题（2-3 个，文章没回答或回答得心虚的）
用户明确要深度分析时，再升级为五维拆解（核心论点/框架方法/数据证据/洞见盲点/个人启发）。
失败兜底（按顺序）
- 脚本报
BLOCKED（微信反爬）→ 用 grok-searchweb_fetch拿正文（保结构但无图），并告知用户图片层缺失 - grok 也失败 → 请用户微信里"复制链接"重试一次（链接可能带过期 token），或直接粘贴全文
注意
- 纯图片排版的文章（正文容器为空）脚本会明确报错，不要静默当成功
- 图片下载小于 1KB 视为失败自动跳过，
images:frontmatter 记录的是实际落盘数
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