Analyze books across six dimensions and generate Markdown study reports.
npx skills add https://github.com/gmh5225/k-skills --skill book-analysis
Please help me install this Agent Skill. Skill: book-analysis Source: https://github.com/gmh5225/k-skills/tree/main/skills/learning/book-analysis Command: npx skills add https://github.com/gmh5225/k-skills --skill book-analysis
Creating structured, in-depth study notes for a book is time-consuming, often misses key contextual insights, core arguments, and practical takeaways, and is hard to organize for future reference. This Skill automates the entire deep learning process for any book, delivering comprehensive, cross-referenced notes in minutes.
Use the book-analysis skill to generate a deep study note for the book Sapiens: A Brief History of Humankind.
High-intent search queries and answers about installing and using this skill.
Automated book analysis solves this by running parallel subagents to collect chapter structure, author background, core issues, practical solutions, terminology, and further reading, mapping arguments to specific chapters and generating standardized Markdown study notes with full source citations.
Cross-dimensional book analysis works by collecting six core dimensions in parallel and then cross-referencing them: mapping core arguments to specific chapters, linking identified problems to solutions, and validating terminology against the book's structure to ensure consistency.
Yes, this parallel book analysis applies to all book types including fiction, non-fiction, technical, historical, and philosophical works, extracting chapter structure, key issues, and terminology uniformly across different literary categories.
You create a reading guide with multi-source information verification by applying parallel research across six core dimensions, cross-referencing identified problems with practical solutions, and generating a standardized Markdown report with full source citations.
The best way to extract key terminology and chapter structure is through 6-dimension parallel research, which simultaneously collects structural data and terminology, then validates the identified terms against the book's chapter structure for consistency.
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