Identify value-focused non-fiction books and generate deep-dive analysis reports.
npx skills add https://github.com/unix2dos/skills --skill book-recommender
Please help me install this Agent Skill. Skill: book-recommender Source: https://github.com/unix2dos/skills/tree/main/book-recommender Command: npx skills add https://github.com/unix2dos/skills --skill book-recommender
Quickly identify and analyze high-value non-fiction books to guide reading choices and investment of time.
Ask for a deep-dive book report using @book-rec to receive a complete analysis.
High-intent search queries and answers about installing and using this skill.
To get a non-fiction book recommendation with deep analysis, request a deep-dive report to receive a 1500-2500 word analysis. The report distills core arguments, extracts key quotes, and provides actionable reading guidance.
Reading guidance and analysis prioritize sociology, psychology, and philosophy non-fiction books. Recommendations focus on high-value titles that meet a strict scoring rubric, such as a Douban score of 8.0 or higher.
Yes, you can use this for sociology and psychology books if you need a quick brief. The analysis can be delivered as either a full structured report or a quick brief, depending on your specified reading guidance needs.
A deep-dive book analysis report includes core arguments, key quote extraction, actionable insights, and audience targets. It generates a comprehensive 1500-2500 word structured output to aid learning and knowledge integration.
Yes, the book recommendation process requires tracking a history of previously recommended books. This history ensures new non-fiction suggestions avoid duplicates and maintains a high scoring rubric standard.
Tracking reading history improves non-fiction recommendations by maintaining a record of previously suggested books. This prevents repetitive suggestions and ensures future reading guidance meets the established scoring rubric.
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