Book Analysis — Deep Dive into a Book with One Click

Enter a book title, and the system will automatically collect information from six dimensions in parallel, then output deep learning notes after cross-analysis.

When to Use

Trigger when the user requests the following operations:

"Analyze The Lychee of Chang'an" / "Study Sapiens: A Brief History of Humankind"
"Help me read Poor Charlie's Almanack" / "Reading notes for The Three-Body Problem"
"book analysis: Thinking, Fast and Slow"
"What is the book XX about" / "Is XX worth reading"

Phase 0: Parse Input

Based on the user's input, identify the following information:

Book Title
- Extract the book title from the user's message (remove angle brackets 《》 or quotation marks)
- If the user provides a vague description, first execute the "Book Localization Process" below to confirm the full book title

Book Localization Process (Mandatory, Cannot Be Skipped)

Step 1: Douban Two-Step Method (First Choice for Chinese Books, Highest Success Rate)

Step 1: WebFetch https://m.douban.com/search/?query={book_name}&type=book
        → Find links in the format /book/subject/{numeric ID}/ from the returned page and extract the Subject ID

Step 2: WebFetch https://book.douban.com/subject/{Subject ID}/
        → Obtain from the detail page: accurate book title, author, publisher, publication date, ISBN, content introduction, book category

Proceed directly to Step 3 after success, no need to perform other searches.

Step 2: Verification via Dangdang (Use When Douban Fails or Cross-Verification Is Needed)

WebFetch https://search.dangdang.com/?key={book_name}&act=input
→ Obtain ISBN and publication information, and cross-verify with Douban data

Step 3: Handling Vague Book Titles (Use When Book Title Is Uncertain)

Use quotation marks for exact matching of core words:

WebSearch ""{2-3 most unique words in the book title}" Douban Book Author"

Or search:

WebSearch {book_name} Book Title Author Publisher

After confirming the book title, execute the Douban Two-Step Method in Step 1

Not Recommended for Chinese Books: Google Books API, Open Library (very few Chinese books included, basically ineffective)

Determine Key Variables (Required by All Subsequent Agents)
- ```
{book_name}
```
  : Full book title
- ```
{author}
```
  : Author's name
- ```
{book_type}
```
  : Book type
- ```
{type_hint}
```
  : Type adaptation hint (see below)
- ```
{date}
```
  : Current date in YYYY-MM-DD format
- ```
{book_name_en}
```
  : English or pinyin form of the book title (lowercase, separated by hyphens), used for file naming
Type Adaptation Hint (Passed to Each Subagent)
- Fiction/Literature → "This is a literary work, focusing on analyzing narrative techniques, character portrayal, and thematic metaphors. The 'Solutions' dimension should focus on thematic insights and life reflections"
- Non-Fiction/Economics & Management → "This is a non-fiction work, focusing on analyzing arguments, methodologies, and actionable suggestions"
- Technology → "This is a technical book, focusing on analyzing technical concepts, practical methods, and applicable scenarios of code examples"
- History → "This is a historical work, focusing on analyzing historical background, causal chains, and insights for the present"
- Philosophy → "This is a philosophical work, focusing on analyzing core propositions, argumentation logic, and relationships between schools of thought"
- Popular Science → "This is a popular science work, focusing on analyzing scientific principles, research methods, and impacts on public cognition"
- Others → "Please judge the focus of analysis based on the book content"

If the book type or author cannot be determined, use WebSearch for a quick query first, do not skip this step.

Phase 1: Parallel Data Collection (6 Subagents)

Key Requirement: The following 6 Tasks must be sent in the same message to ensure parallel execution.

Each Agent uses

subagent_type: "general-purpose"

Agent 1: Chapter Structure and Logical Relationships

description: "Analyze the chapter structure of {book_name}"

Prompt Template:

You are an expert in book structure analysis. Please analyze the chapter structure and internal logical relationships of *{book_name}* by {author}.

Type Hint: {type_hint}

Tasks:
1. Use WebSearch to search the following keywords (at least 2 different keyword combinations):
   - "{book_name} table of contents chapters"
   - "{book_name} structure analysis" or "{book_name} table of contents"
2. Use WebFetch to access at least 1 page with detailed table of contents to verify chapter information
3. Organize the following information:

   **Chapter Overview:**
   - List all chapters (or main sections), with a one-sentence summary for each chapter
   - If there are too many chapters (>20), summarize by "Part/Volume"

   **Logical Relationships:**
   - Type of logical relationship between chapters (progressive, parallel, causal, transitional, total-subordinate)
   - Narrative/argumentation main line of the whole book (described in one paragraph)
   - Key turning points or climax chapters

Output Requirements:
- Chapter list in the format "Chapter Number | Title | Summary"
- Logical relationships described in text, with relationship types clearly stated
- Keep within 600 words
- Output entirely in English
- **Cite Sources**: Indicate the source website name and original link

Agent 2: Background and Key Points

description: "Research the background and core viewpoints of {book_name}"

Prompt Template:

You are an expert in book research. Please research the creation background and core key points of *{book_name}* by {author}.

Type Hint: {type_hint}

Tasks:
1. Use WebSearch to search the following keywords (at least 2 different keyword combinations):
   - "{author} {book_name} creation background"
   - "{book_name} core viewpoints" or "{book_name} book review key points"
2. Use WebFetch to access at least 1 high-quality book review or original interview to verify content
3. Organize the following information:

   **Author and Creation Background:**
   - Author introduction (life, representative works, professional field)
   - Writing motivation and creation opportunity
   - Era/social background (relevant background of the publication era)

   **Core Key Points:**
   - Extract 3-5 core key points/arguments
   - Each key point is accompanied by 1-2 sentences of elaboration
   - Indicate which chapters the key point is mainly reflected in

Output Requirements:
- Author introduction kept within 100 words
- Core key points presented in numbered lists
- Keep within 600 words
- Output entirely in English
- **Cite Sources**: Indicate the source website name and original link

Agent 3: Problems and Impacts

description: "Analyze the problems raised and impacts of {book_name}"

Prompt Template:

You are a cultural critic. Please analyze the key problems raised or revealed in *{book_name}* by {author} and their impacts.

Type Hint: {type_hint}

Tasks:
1. Use WebSearch to search the following keywords (at least 2 different keyword combinations):
   - "{book_name} questions reflections"
   - "{book_name} impact significance" or "{book_name} book review evaluation"
2. Use WebFetch to access at least 1 in-depth book review or academic review to verify viewpoints
3. Organize the following information:

   **Key Problems:**
   - 3-5 core problems raised or revealed in the book
   - Scope of influence of each problem (individual/industry/society)
   - Whether these problems still have practical significance today

   **Social Response and Impact:**
   - Social discussions and responses after publication
   - Influence indicators such as awards, sales volume, translated languages
   - Controversial viewpoints (if any)

Output Requirements:
- Problems sorted by importance
- Impact analysis should be specific, avoid being vague
- Keep within 600 words
- Output entirely in English
- **Cite Sources**: Indicate the source website name and original link

Agent 4: Solutions and Implementation Suggestions

description: "Extract insights and practical suggestions from {book_name}"

Prompt Template:

You are an expert in knowledge application. Please extract solutions, insights, and practical suggestions from *{book_name}* by {author}.

Type Hint: {type_hint}

Tasks:
1. Use WebSearch to search the following keywords (at least 2 different keyword combinations):
   - "{book_name} insights gains"
   - "{book_name} reading reflections practice" or "{book_name} takeaways"
2. Use WebFetch to access at least 1 high-quality reading reflection or practice sharing to verify content
3. Organize the following information:

   **Ideas/Solutions in the Book:**
   - Ideas or solutions proposed in the book for core problems
   - If it is a literary work, extract thematic insights and life reflections
   - Methodologies or thinking frameworks (if any)

   **Action Suggestions for Readers:**
   - 3-5 specific and actionable practical suggestions
   - Indicate applicable scenarios and limitations for each suggestion
   - Sort by difficulty level (from easy to difficult)

Output Requirements:
- Solutions and suggestions should be specific and actionable, avoid being general
- Focus on ideological insights for literary works, and methodologies for non-fiction works
- Keep within 600 words
- Output entirely in English
- **Cite Sources**: Indicate the source website name and original link

Agent 5: Terms and Index

description: "Organize key term index for {book_name}"

Prompt Template:

You are an expert in knowledge organization. Please organize the key terms and important concept index of *{book_name}* by {author}.

Type Hint: {type_hint}

Tasks:
1. Use WebSearch to search the following keywords (at least 2 different keyword combinations):
   - "{book_name} key concepts terms"
   - "{book_name} glossary" or "{book_name} glossary key concepts"
2. Use WebFetch to access at least 1 page with term explanations to verify definition accuracy
3. Organize the following information:

   **Term Index Table:**
   - List 10-20 key terms/concepts/names/places in the book
   - Each entry includes: term name, brief definition (1-2 sentences), chapter where it appears
   - Sort by the order of first appearance in chapters

   **Core Concept Associations:**
   - Indicate associations between terms (e.g., A is the premise of B, C is the application of D)

Output Requirements:
- Term table format: "Term | Definition | Chapter of Appearance"
- Definitions should be concise and accurate
- Keep within 600 words
- Output entirely in English
- **Cite Sources**: Indicate the source website name and original link

Agent 6: Further Reading Recommendations

description: "Recommend further reading related to {book_name}"

Prompt Template:

You are a reading consultant. Please recommend further reading books related to *{book_name}* by {author}.

Type Hint: {type_hint}

Tasks:
1. Use WebSearch to search the following keywords (at least 2 different keyword combinations):
   - "{book_name} similar book recommendations"
   - "Other works by {author}" or "{book_name} similar books recommended"
2. Use WebFetch to access at least 1 book list recommendation page to verify recommendation reasons
3. Organize the following information:

   **Works by the Same Author:**
   - List 2-3 other representative works by the author, with a one-sentence explanation of their connection to this book

   **Same Theme Recommendations:**
   - 5-6 books related to the theme
   - Each includes: book title, author, one-sentence connection explanation (why it is recommended, relationship with this book)
   - Cover different difficulty levels and perspectives

Output Requirements:
- Recommendation reasons should explain the specific connection to this book, not just say "it's also good"
- Prioritize classic works and high-rated books
- Keep within 500 words
- Output entirely in English
- **Cite Sources**: Indicate the source website name and original link

Phase 2: Comprehensive Analysis (Main Thread)

Wait for all 6 Agents to return results, then complete the following analysis in the main thread.

Step 1: Information Aggregation

Integrate the results of the 6 Agents, and identify:

Consistent Signals between dimensions (e.g., multiple sources mentioning the same core viewpoint = high confidence)
Complementary Relationships between dimensions (e.g., core points mentioned by Agent 2 correspond to chapter structure of Agent 1)
Contradictory Signals between dimensions (e.g., different sources have completely different evaluations of a viewpoint = need to mark controversy)
Meanwhile, organize all source URLs returned by the 6 Agents into a source list, which will be used in the "Reference Sources" section at the end of the report

Step 2: Cross-Association

Establish associations between the 6 dimensions:

Key Points <-> Chapter Mapping: Mark core points (Agent 2) to corresponding chapters (Agent 1)
Problems <-> Solutions Matching: Match problems (Agent 3) with solutions (Agent 4) one by one
Terms <-> Content Anchoring: Verify that the chapter markings in the term index (Agent 5) are consistent with the actual chapter structure (Agent 1)
Further Reading Association: Associate recommended books (Agent 6) with the core theme of this book

Step 3: Core Conclusion Extraction

Based on the above analysis, write 3-5 sentences of core conclusions:

What is the most core value of this book
1-2 viewpoints that are most worth paying attention to
Who this book is most suitable for

Phase 3: Output Report

Output the final report in the following Markdown format:

markdown

# Deep Learning Notes for *{book_name}*

> **Author**: {author} | **Type**: {book_type} | **Analysis Date**: {date}

## Core Conclusions

{3-5 sentences summarizing the most worth-knowing content of this book, including core value, key viewpoints, and suitable readers}

---

## I. Chapter Structure and Logical Relationships

### Chapter Overview

| Chapter | Title | Summary |
|------|------|------|
| Chapter 1 | {Title} | {One-sentence summary} |
| Chapter 2 | {Title} | {One-sentence summary} |
| ... | ... | ... |

### Main Logical Line

{Describe the narrative/argumentation context of the whole book, and indicate the type of logical relationship between chapters (progressive, causal, parallel, transitional, etc.)}

---

## II. Background and Key Points

### Author and Creation Background

{Author introduction, writing motivation, era/social background}

### Core Key Points

1. **{Key Point 1}**: {Elaboration} (See Chapter X)
2. **{Key Point 2}**: {Elaboration} (See Chapter X)
3. **{Key Point 3}**: {Elaboration} (See Chapter X)
...

---

## III. Problems and Impacts

### Key Problems

1. **{Problem 1}**: {Problem Description} → Scope of Influence: {Individual/Industry/Society}
2. **{Problem 2}**: {Problem Description} → Scope of Influence: {Individual/Industry/Society}
3. ...

### Social Response

{Discussions after publication, awards, controversies, etc.}

---

## IV. Solutions and Implementation Suggestions

### Ideas/Insights in the Book

{Ideas, methodologies, or thematic insights proposed in the book for core problems}

### Action Suggestions for Readers

1. **{Suggestion 1}** (Difficulty: ⭐): {Specific Description} — Applicable Scenario: {Scenario}
2. **{Suggestion 2}** (Difficulty: ⭐⭐): {Specific Description} — Applicable Scenario: {Scenario}
3. **{Suggestion 3}** (Difficulty: ⭐⭐⭐): {Specific Description} — Applicable Scenario: {Scenario}
...

---

## V. Terms and Index

| Term | Definition | Chapter of Appearance |
|------|------|----------|
| {Term 1} | {Brief Definition} | Chapter X |
| {Term 2} | {Brief Definition} | Chapter X |
| ... | ... | ... |

---

## VI. Further Reading

| Book Title | Author | Connection Explanation |
|------|------|----------|
| *{Book Title 1}* | {Author} | {Specific connection with this book} |
| *{Book Title 2}* | {Author} | {Specific connection with this book} |
| ... | ... | ... |

---

## Reference Sources

- **Chapter Structure**: [{Source Title}]({url}), ...
- **Background and Key Points**: [{Source Title}]({url}), ...
- **Problems and Impacts**: [{Source Title}]({url}), ...
- **Solutions and Suggestions**: [{Source Title}]({url}), ...
- **Terms and Index**: [{Source Title}]({url}), ...
- **Further Reading**: [{Source Title}]({url}), ...

---

*This note is automatically generated by AI. It is recommended to read with the original book.*

Markdown Filling Rules:

Replace placeholders in the template with actual data
Mark corresponding chapters for core key points to facilitate cross-referencing the original book
Sort the term table by the order of first appearance
Sort reader action suggestions by difficulty from easy to difficult
"Reference Sources" Section is Mandatory: Group all source links returned by the 6 Agents by dimension and fill in; do not omit or use placeholder URLs

Save the report as a file:

./{book_name_en}-book-analysis-{date}.md

, stored in the current working directory.

File Naming Rules:

{book_name_en}

uses the English or pinyin form of the book title (lowercase, separated by hyphens), for example:

The Lychee of Chang'an →
```
changan-lychee
```
Sapiens: A Brief History of Humankind →
```
sapiens
```
The Three-Body Problem →
```
three-body
```
Thinking, Fast and Slow →
```
thinking-fast-and-slow
```

Error Handling

Agent Timeout or Failure: If an Agent does not return results, mark the dimension as "Insufficient data, recommended to check by readers" in the report, and analyze other dimensions as usual
Unrecognizable Book Title: Prompt the user to confirm the book title, and provide fuzzy matching suggestions
Insufficient Information for Niche/New Books: If search results are extremely limited, merge related dimensions to reduce repeated "insufficient information" prompts
Multiple Editions/Translations: If there are multiple editions or translations of the same book, prioritize analyzing the most well-known/latest edition, and indicate edition information

Notes

Strictly limit the output word count of each Agent to prevent main thread context overflow
The comprehensive analysis phase focuses on cross-association, not simply splicing results from 6 dimensions
Chapter markings in the term index must be consistent with the chapter structure of Agent 1
Core conclusions should help readers judge "Is this book worth my time"
All output is in English

book-analysis

NPX Install

Tags

SKILL.md Content (Chinese)

Book Analysis — Deep Dive into a Book with One Click

When to Use

Phase 0: Parse Input

Phase 1: Parallel Data Collection (6 Subagents)

Agent 1: Chapter Structure and Logical Relationships

Agent 2: Background and Key Points

Agent 3: Problems and Impacts

Agent 4: Solutions and Implementation Suggestions

Agent 5: Terms and Index

Agent 6: Further Reading Recommendations

Phase 2: Comprehensive Analysis (Main Thread)

Step 1: Information Aggregation

Step 2: Cross-Association

Step 3: Core Conclusion Extraction

Phase 3: Output Report

Error Handling

Notes