Book Deep Reader

Knowledge

Deep-read a book and produce teaching-quality notes with critical evaluation and action guidance. Use when: (1) user wants to quickly learn and understand a book's knowledge system, (2) user needs accurate extraction of a book's core ideas to teach others, (3) user provides book title/author/ISBN and asks for a structured reading guide or summary, (4) user wants to verify their understanding of a book against original sources, (5) user wants critical evaluation of a book's value and limitations, (6) user wants cross-disciplinary insights and actionable takeaways. Supports Chinese and English books. Outputs a comprehensive .md file with knowledge framework, chapter details, core principles, practical cases, teaching materials, AND critical evaluation with action plans.

Install

openclaw skills install @kingluu/book-deep-reader

Book Deep Reader

Produce teaching-quality book notes: accurate on the original, structured for quick learning, detailed enough to explain to others.

Workflow

Phase 1: Identify the Book

Given a book (title, author, ISBN, or URL), gather foundational info:

  1. Search for the book using mimo_web_search — find Douban/Goodreads pages, publisher descriptions, table of contents, reviews
  2. Fetch key pages using web_fetch — Douban book page (ISBN lookup), publisher pages, review articles
  3. Identify: book structure (chapters), core framework/model, key cases, author's background
  4. For companion/sequel books: also fetch the original book's wiki/summary to cross-reference (e.g., Reinventing Organizations Wiki for the practice guide)
  5. Identify the book's central question: What problem is the author trying to solve? Why does it matter?

Phase 2: Deep Research

Gather rich source material from authoritative references:

  1. Official wiki/community sites (if they exist) — e.g., reinventingorganizationswiki.com
  2. Detailed reviews and analysis articles — not just "good book!" but substantive breakdowns
  3. Author's talks/interviews — YouTube transcripts, keynote summaries
  4. Case study databases — for books with organizational/practice cases
  5. Academic context research — what predecessors have done on this topic
  6. Comparative analysis — other books on the same topic with different viewpoints
  7. Critical reviews — challenges, limitations, controversies

Search strategy (use mimo_web_search):

  • "<book title>" 目录 章节 内容 (for Chinese books)
  • "<English title>" summary chapters key concepts
  • "author name" "<key concept>" detailed explanation
  • site:douban.com <ISBN> or site:goodreads.com <title>
  • "<book title>" 批评 局限性 争议 (for critical reviews)
  • "<book title>" 对比 同类书籍 不同观点 (for comparative analysis)
  • "<topic>" 研究进展 前人研究 学术脉络 (for academic context)

Fetch at least 5-8 authoritative sources. Prioritize:

  • Table of contents and chapter structure
  • The book's own conceptual framework (models, diagrams, key distinctions)
  • Detailed case studies with data
  • Author's direct quotes and key formulations
  • Academic positioning and predecessor research
  • Critical reviews and challenges
  • Comparative analysis with similar books

Phase 3: Knowledge Extraction (5-Layer Analysis)

Extract knowledge through 5 layers, from surface to depth:

Layer 1 — Structure: What is the book's architecture?

  • Chapter outline with one-line purpose per chapter
  • How chapters connect (sequential? parallel? recursive?)
  • Visual map of the book's flow

Layer 2 — Core Framework: What is the book's central model/theory?

  • The 1-3 core concepts that everything else builds on
  • Key distinctions the author makes (e.g., X vs. Y)
  • The "before and after" transformation the book describes

Layer 3 — Chapter Details: What does each chapter teach?

  • Core question the chapter answers
  • Key knowledge points (3-7 per chapter)
  • Practical cases with concrete data
  • Actionable insights ("how to do this")

Layer 4 — Depth Mechanisms: Why do these ideas work?

  • Underlying assumptions (what must be true for this to work)
  • Causal logic (A leads to B because...)
  • Counter-arguments and how the author addresses them
  • Limitations and boundary conditions

Layer 5 — Teaching Materials: How to explain this to someone else?

  • Core quotes / memorable formulations
  • Analogies and metaphors the author uses
  • Data/evidence for responding to skepticism
  • Common misunderstandings and corrections

Phase 4: Cross-Reference and Verify

Before writing the final output:

  1. Cross-check with original sources: Every claim must trace back to an authoritative source (the book itself, the author's wiki, verified reviews)
  2. Flag uncertainty: If a detail cannot be verified, note it as "based on secondary sources" or omit it
  3. Check for omissions: Compare against the table of contents — are all chapters covered?
  4. Check for consistency: Do the chapter-level details support the overall framework? Are there contradictions?

Phase 5: Generate Output

Write the output as a .md file in the workspace. Follow the structure in references/output-template.md.

Key quality standards:

  • Accuracy over creativity: Never invent content. If unsure, search again or state the limitation
  • Specific over general: Include concrete examples, numbers, names, quotes — not just abstract descriptions
  • Structured for skimming AND deep reading: Headers, tables, and visual maps for quick scanning; detailed prose for deep understanding
  • Teaching-ready: Someone should be able to read this file and explain the book to others without having read the book itself

Phase 6: Critical Evaluation (New)

After completing the 5-layer knowledge extraction, conduct a critical evaluation:

1. Core Question Identification

  • What is the author's central question/problem?
  • Why is this question important?

2. Academic Context Positioning

  • What have predecessors achieved on this question?
  • Where does this book fit in the academic conversation?

3. Innovation Assessment

  • What unique, new answers does the author provide?
  • What new evidence, cases, or data support these answers?

4. Comparative Analysis

  • What different viewpoints exist from contemporary books on the same topic?
  • How does this book's approach differ?

5. Critical Review

  • Has the book's conclusions been challenged?
  • What are its limitations and boundary conditions?

6. Future Directions

  • What new problems and directions does the author propose?
  • What remains unresolved?

7. Cross-disciplinary Insights

  • What启发 can practitioners from other fields draw?
  • How can these ideas be applied outside the book's domain?

8. Most Inspiring Story/Case

  • Which single story or case is most memorable and impactful?
  • Why does it resonate?

9. Actionable Takeaway

  • What is ONE action the reader should take after reading?
  • How to implement it immediately?

Output File

Save to workspace as <book-short-name>-读书笔记.md (Chinese) or <book-short-name>-notes.md (English).

Quality Checklist

Before finalizing, verify:

  • All chapters covered with key points
  • Core framework/model clearly articulated
  • At least 3 detailed case studies with data
  • Author's key quotes included
  • Common misconceptions addressed
  • Practical "how to start" guidance included
  • Sources cited (wiki, reviews, publisher pages)
  • No invented or unverified content
  • Can be used to teach the book without reading it
  • Critical evaluation section completed (all 9 questions answered)
  • Actionable takeaway identified with implementation steps
  • Cross-disciplinary insights clearly articulated