
Huashu Weread Advisor
This is a sophisticated layer on top of WeRead's API that turns raw reading data into actionable workflows. Instead of just fetching your bookshelf or highlights, it cross-references what you've shelved versus what you've actually annotated to build a real knowledge map. Four main modes: personalized recommendations based on reading depth, structured learning paths for new domains, distilling scattered highlights into coherent notes, and generating shareable reading retrospectives. The interesting bit is how it catches the gap between books you've added and books you've genuinely engaged with, which matters more than you'd think for useful recommendations. Requires WEREAD_API_KEY and follows specific Chinese language style guidelines throughout.
- skills.sh installs
- 447
- GitHub stars
- 161
- last updated
- Aug 21, 2026
Install
$ npx -y skills add alchaincyf/huashu-weread --skill huashu-weread-advisor --agent claude-codeInstalls into .claude/skills of the current project.
Files
huashu-weread-advisor
把原子的微信读书 API 变成一个真正读懂你的读书顾问。
定位
底层 weread skill 提供原子接口(搜索、书架、笔记、点评、推荐、阅读统计),本 skill 在其之上做工作流编排,把原始数据转成对用户有消费价值的产出。
前置依赖
- 必须先有
WEREAD_API_KEY环境变量(在用户 shell 中 export) - 所有 API 调用走
POST https://i.weread.qq.com/api/agent/gateway - 请求 body 必须带
skill_version字段——值的权威来源:~/.claude/skills/weread/SKILL.md顶部 frontmatter 的version字段(当前1.0.3,会变;别从 prompt 或老模板里抄) - 接口文档和参数详情见底层 weread skill:
~/.claude/skills/weread/SKILL.md
核心方法论(所有 workflow 共享)
1. 书架和笔记是两个数据源,必须交叉
| 数据源 | 接口 | 揭示什么 |
|---|---|---|
| 书架 | /shelf/sync | 用户主动分类的兴趣方向 + 加入了什么 |
| 笔记 | /user/notebooks | 用户真读过的书 + 读得多深(笔记条数) |
| 进度 | /book/getprogress | 某本书读到哪、累计读了多久 |
| 统计 | /readdata/detail | 周/月/年阅读时长、天数、主题偏好 |
关键洞察:很多书在书架但没动,很多书没在书架(借/试读)但深读了。只看书架会漏掉重要信号。
实战例子:花叔的 Kandel《追寻记忆的痕迹》27 条笔记,书架的「心理学」分类里根本没列,但其实是他在神经科学领域读得最深的一本。如果只看书架做推荐,会误判他的真实知识地图。
2. 「最近读什么」≠「书架主题」
用户的当前兴趣可能和书架分类完全不一致。永远用 readUpdateTime 倒序看最近 30 天在动什么书,再做推荐。
3. 推荐必附 weread:// 深度链接
weread://reading?bId={bookId} 让用户一键打开。链接格式详见底层 weread skill 的「深度链接(URL Schema)」章节。
4. 推荐前必须验证微信读书是否上架
Sponsors
Details
- Repository
- github.com/alchaincyf/huashu-weread
- Categories
- Backend & APIs, Git & Pull Requests, Code Review & Quality
- First seen
- Jun 3, 2026