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.