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huashu-weread-advisor

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微信读书高阶顾问。在底层 weread skill 的原子 API 之上，提供四类工作流：基于已读做个性化进阶推荐（advisor）、给方向规划入门到前沿的阶梯书单（path）、把零散划线想法提炼成读书笔记总结（alchemy）、做季度/年度阅读复盘并生成可发朋友圈/公众号的文章（review）。核心方法是「书架 + 笔记交叉分析」——书架揭示用户主动分类的兴趣，笔记数据揭示「真读过的」vs「只放着的」。当用户说「推荐书」「下一本读啥」「该读什么」「想搞懂 X 这个领域」「整理我的笔记」「这本书我记住了啥」「我今年读了什么」「读书复盘」「年度盘点」时触发。即使用户只是说「不知道读啥」「有没有相关的书」「帮我看看这本读完了吗」「这个领域我入门了吗」也应触发。

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Aug 25, 2026
License
MIT

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# 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`
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