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alchaincyf/huashu-weread

微信读书高阶顾问 · 在官方 weread skill 之上加一层「读书顾问的工作流」· 书架+笔记交叉分析 · 4 个 workflow (advisor/path/alchemy/review) · Made by 花叔

History

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Verified commit 00be7ae53d1ae6dd0f7352797bfd0e7b2fe1455d

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2stars in 7 days
1skill in this repository
0commits in 30 days

Heat

4.0
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Heat never changes the order by stars, and sponsorship never touches it. How heat works

Stars over time

Oct 25, 2026Nov 6, 2026161

30-day change not yet available: not enough history.

Individual skills in this repository

How it works

huashu-weread-advisor

When your agent uses it

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。

What it loads into context

Frontmatter

244 tokens

Always available to the agent

SKILL.md

2,974 tokens

When the skill is activated

Reference documents

15,895 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. 定位
  2. 前置依赖
  3. 核心方法论(所有 workflow 共享)
  4. 检查点设计原则
  5. 子命令路由
  6. 共享子模块
  7. 示例
  8. 异常与边界条件
  9. 数据展示规范(强制)
  10. 调用约定
  11. 版本自检(静默)

Files

  • .gitignoreasset209 bytes
  • LICENSEasset1,076 bytes
  • README.mddoc8,901 bytes
  • SKILL.mdcore10,395 bytes
  • examples/advisor-neuroscience.mddoc7,067 bytes
  • shared/knowledge-map.mddoc4,257 bytes
  • shared/shelf-cross-notes.mddoc5,258 bytes
  • test-prompts.jsonasset1,262 bytes
  • workflows/advisor.mddoc7,192 bytes
  • workflows/alchemy.mddoc7,043 bytes
  • workflows/path.mddoc6,174 bytes
  • workflows/review.mddoc7,140 bytes
Read SKILL.md

# 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`
View the complete source on GitHub

Skills included

  • huashu-weread-advisor

Repository facts

License
MIT
Created
May 17, 2026
Last pushed
Aug 25, 2026
Forks
9
Open issues
1
Project activity
Slowing

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 5, 2026

Show all 19 signals by file

README.md

  • Network accessline 7
    [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)
  • Network accessline 8
    [![Agent-Agnostic](https://img.shields.io/badge/Agent-Agnostic-blueviolet)](https://skills.sh)
  • Network accessline 9
    [![Skills](https://img.shields.io/badge/skills.sh-Compatible-green)](https://skills.sh)
  • Network accessline 17
    微信读书前几天上了一个官方 AI skill([weread.qq.com/r/weread-skills](https://weread.qq.com/r/weread-skills)),把书架、笔记、阅读统计、推荐 6 件事开放给 AI。能力很强,但它只是「自然语言包装的搜索接口」——你让它推荐书,它不会去看你已经读过什么,常把你笔记 68 条的书又当新书推回来给你。
  • Network accessline 65
    **前置依赖**:必须先装官方 weread skill([weread.qq.com/r/weread-skills](https://weread.qq.com/r/weread-skills)),按页面指引走两步配置(复制安装指令 + 登录拿 API Key),全程不超过 1 分钟。
  • Access to secretsline 154
    [Credential-related source omitted]
  • Network accessline 184
    - 微信读书官方 skill 把最难的事做完了(把账号数据通过 API 暴露给 AI):[weread.qq.com/r/weread-skills](https://weread.qq.com/r/weread-skills)
  • Network accessline 185
    - 灵感来源:花叔的 [女娲 .skill](https://github.com/alchaincyf/nuwa-skill)(把人物方法论蒸馏成 skill)。这次只是把蒸馏对象从「人」换成了「我自己的微信读书账号」。
  • Network accessline 191
    Made by [@AlchainHust](https://x.com/AlchainHust) · 公众号「花叔」

SKILL.md

  • Network accessline 16
    [Credential-related source omitted]
  • Access to secretsline 16
    [Credential-related source omitted]
  • Network accessline 17
    - 所有 API 调用走 `POST https://i.weread.qq.com/api/agent/gateway`
  • Access to secretsline 105
    [Credential-related source omitted]

shared/shelf-cross-notes.md

  • Network accessline 10
    [Credential-related source omitted]
  • Access to secretsline 10
    [Credential-related source omitted]
  • Network accessline 11
    GATEWAY = "https://i.weread.qq.com/api/agent/gateway"
  • Network accessline 28
    body = {"api_name": api_name, "skill_version": VERSION, **params}     r = subprocess.run(         ["curl", "-s", "-X", "POST", GATEWAY,
  • Network accessline 29
    [Credential-related source omitted]
  • Access to secretsline 31
    [Credential-related source omitted]

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Signal confidence: 19 facts

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeCompatibleStandard SKILL.md SKILL.md.claude/skills/<skill-name>/
CodexCompatibleStandard SKILL.md SKILL.md.agents/skills/<skill-name>/
CursorCompatibleStandard SKILL.md SKILL.md.cursor/skills/<skill-name>/
Gemini CLICompatibleStandard SKILL.md SKILL.md.gemini/skills/<skill-name>/
GitHub CopilotCompatibleStandard SKILL.md SKILL.md.github/skills/<skill-name>/
OpenCodeCompatibleStandard SKILL.md SKILL.md.opencode/skills/<skill-name>/
  • Native The repository ships a manifest, folder or frontmatter field for this agent.
  • Compatible A standard SKILL.md that this agent can read.
  • Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.