analyze-book

Analyze books across six dimensions and synthesize a Markdown notebook.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/jssfy/k-skills --skill analyze-book
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analyze-book
Source: https://github.com/jssfy/k-skills/tree/main/skills/learning/analyze-book
Command: npx skills add https://github.com/jssfy/k-skills --skill analyze-book

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze a book by parallel data collection across six dimensions (chapter structure, background highlights, problems and impacts, solutions and implementation ideas, glossary of terms, and extended reading) and synthesize the results into a Markdown deep-learning notebook.

Core Features & Use Cases

  • Parallel six-dimension data collection: chapter structure, background highlights, issues and impacts, solutions and implementation ideas, glossary of terms, and extended reading.
  • Cross-source validation via WebSearch and WebFetch for credible synthesis.
  • Output a comprehensive Markdown notebook with sections: Chapter Overview, Core Points, Problems & Impacts, Solutions & Implementation, Glossary & References, and Extended Reading; includes source citations.

Quick Start

Input a book title and author; the system will automatically run the parallel analysis and produce the Markdown notebook.

Frequently Asked Questions about analyze-book

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate deep learning study notes from a non-fiction book?

Generate deep learning study notes by inputting a book title and author. The system runs parallel multi-agent data collection across six dimensions and synthesizes a structured Markdown notebook with source citations.

What is the best way to create a literature review with chapter structure and glossary?

Creating a literature review is best handled by parallel six-dimension analysis, extracting chapter structure, glossary of terms, and extended reading. Results are cross-validated via WebSearch and WebFetch for credible synthesis.

Can I use WebSearch and WebFetch to validate book analysis and cross-reference sources?

Yes, you can use WebSearch and WebFetch to validate book analysis. The system performs cross-source validation during parallel data collection to ensure the synthesized knowledge is credible and properly referenced.

How to analyze technical books across multiple dimensions for knowledge synthesis?

Analyze technical books across six dimensions: chapter structure, background highlights, problems and impacts, solutions, glossary, and extended reading. Multi-agent coordination maps cross-dimensional data into a Markdown notebook.

Does this book analysis approach work for both non-fiction and technical books?

Yes, this book analysis approach works for both non-fiction and technical books. The multi-agent parallel collection process adapts to extract relevant problems, solutions, and implementation ideas for either genre.

What sections are included in the generated Markdown deep-learning notebook?

The generated Markdown deep-learning notebook includes sections for Chapter Overview, Core Points, Problems & Impacts, Solutions & Implementation, Glossary & References, and Extended Reading with source citations.