Transform Weread shelves and notebooks into personalized reading advice.
npx skills add https://github.com/alchaincyf/huashu-weread --skill huashu-weread-advisor
Please help me install this Agent Skill. Skill: huashu-weread-advisor Source: https://github.com/alchaincyf/huashu-weread/tree/main Command: npx skills add https://github.com/alchaincyf/huashu-weread --skill huashu-weread-advisor
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：advisor、path、alchemy、review。通过书架与笔记的交叉分析，识别“真读过”的书与主动归类的兴趣，输出个性化书单、系统学习路径、笔记提炼和复盘文章，帮助用户提升阅读效率与决策质量。
请告诉我你需要的输出，如“下一本读啥”或“规划一个领域的学习路径”，以触发相应的工作流。
High-intent search queries and answers about installing and using this skill.
Weread book recommendations are generated by cross-analyzing your bookshelves and notebooks to identify actively read books and categorized interests. The advisor workflow routes this data to output personalized book lists and next reading directions.
Building a systematic learning path uses the path workflow to generate laddered book lists from introductory to frontier texts. It structures your domain learning progression by sequencing reading materials based on your Weread shelf data.
Yes, you can synthesize Weread highlights into structured summaries using the alchemy workflow. It transforms your underlines and ideas into reusable reading notes by applying data-driven routing to ensure structured, actionable outputs.
Generating a reading retrospective uses the review workflow to process your Weread shelves and notebooks. It produces shareable quarterly or yearly review articles suitable for social media platforms or personal blogs.
Yes, the Weread reading advisor works without manual categorization by cross-analyzing shelf and notebook data to automatically identify actively read books and active interests. It implements robust error handling to ensure safe, actionable outputs.
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