book-analysis

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Original

English

🇨🇳

Translation

Chinese

Book Analysis — 一键深度学习一本书

Book Analysis — Deep Dive into a Book with One Click

输入书名，自动并行采集六个维度的信息，交叉分析后输出深度学习笔记。

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

当用户请求以下操作时触发：

"分析《长安的荔枝》" / "学习《人类简史》"
"帮我读《穷查理宝典》" / "读书笔记《三体》"
"book analysis: Thinking, Fast and Slow"
"XX这本书讲什么" / "XX值得读吗"

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: 解析输入

Phase 0: Parse Input

根据用户输入，识别以下信息：

书名
- 提取用户消息中的书名（去掉书名号《》或引号）
- 如果用户给了模糊描述，先执行下方「书籍定位流程」确认完整书名

书籍定位流程（必须执行，不可跳过）

第一步：豆瓣两步法（中文书首选，成功率最高）

Step 1: WebFetch https://m.douban.com/search/?query={书名}&type=book
        → 从返回页面中找 /book/subject/{数字ID}/ 格式的链接，提取 Subject ID

Step 2: WebFetch https://book.douban.com/subject/{Subject ID}/
        → 从详情页获取：准确书名、作者、出版社、出版日期、ISBN、内容简介、书籍分类

成功后直接进入步骤3，不需要再做其他搜索。

第二步：当当网验证（豆瓣失败或需要交叉确认时使用）

WebFetch https://search.dangdang.com/?key={书名}&act=input
→ 获取 ISBN 和出版信息，与豆瓣数据交叉核对

第三步：模糊书名处理（书名不确定时使用）

用引号精确匹配核心词：

WebSearch ""{书名中最独特的2-3字}" 豆瓣 图书 作者"

或搜索：

WebSearch {书名} 书名 作者 出版社

确认书名后，再执行第一步豆瓣两步法

不推荐用于中文书籍：Google Books API、Open Library（对中文书收录极少，基本无效）

确定关键变量（后续所有 Agent 都需要用到）
- ```
{book_name}
```
  : 完整书名
- ```
{author}
```
  : 作者名
- ```
{book_type}
```
  : 书籍类型
- ```
{type_hint}
```
  : 类型适配提示（见下方）
- ```
{date}
```
  : 当天日期，格式 YYYY-MM-DD
- ```
{book_name_en}
```
  : 书名的英文或拼音形式（小写、连字符分隔），用于文件命名
类型适配提示（传给每个子代理）
- 小说/文学 → "这是文学作品，侧重分析叙事手法、人物塑造、主题隐喻，'解决方案'维度应聚焦主题启示与人生思考"
- 非虚构/经管 → "这是非虚构作品，侧重分析论点论据、方法论、可操作建议"
- 技术 → "这是技术书籍，侧重分析技术概念、实践方法、代码示例的适用场景"
- 历史 → "这是历史作品，侧重分析历史背景、因果链条、对当下的启示"
- 哲学 → "这是哲学作品，侧重分析核心命题、论证逻辑、思想流派关系"
- 科普 → "这是科普作品，侧重分析科学原理、研究方法、对大众认知的影响"
- 其他 → "请根据书籍内容自行判断分析侧重点"

如果无法确定书籍类型或作者，先用一次 WebSearch 快速查询，不要跳过这一步。

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: 并行数据采集 (6 个 Subagent)

Phase 1: Parallel Data Collection (6 Subagents)

关键要求: 以下 6 个 Task 必须放在同一条消息中发出，确保并行执行。

每个 Agent 使用

subagent_type: "general-purpose"

。

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: 章节结构与逻辑关系

Agent 1: Chapter Structure and Logical Relationships

description: "分析{book_name}章节结构"

prompt 模板:

你是书籍结构分析专家。请分析《{book_name}》（{author}）的章节结构和内在逻辑关系。

类型提示：{type_hint}

任务:
1. 使用 WebSearch 搜索以下关键词（至少搜 2 次不同关键词）:
   - "{book_name} 目录 章节"
   - "{book_name} 结构分析" 或 "{book_name} table of contents"
2. 使用 WebFetch 访问至少 1 个包含详细目录的页面，验证章节信息
3. 整理以下信息:

   **章节概览:**
   - 列出所有章节（或主要部分），每章附一句话概要
   - 如果章节过多（>20章），可按"部/篇"分组概括

   **逻辑关系:**
   - 章节之间的逻辑关系类型（递进、并列、因果、转折、总分）
   - 全书叙事/论证主线（一段话描述）
   - 关键转折点或高潮章节

输出要求:
- 章节列表用「章节号 | 标题 | 概要」格式
- 逻辑关系用文字描述，标明关系类型
- 控制在 600 字以内
- 全部使用中文输出
- **标注信息来源**: 注明来源网站名称及原始链接

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: 背景与要点

Agent 2: Background and Key Points

description: "研究{book_name}背景与核心观点"

prompt 模板:

你是书籍研究专家。请研究《{book_name}》（{author}）的创作背景和核心要点。

类型提示：{type_hint}

任务:
1. 使用 WebSearch 搜索以下关键词（至少搜 2 次不同关键词）:
   - "{author} {book_name} 创作背景"
   - "{book_name} 核心观点" 或 "{book_name} 书评 要点"
2. 使用 WebFetch 访问至少 1 条高质量书评或访谈原文，验证内容
3. 整理以下信息:

   **作者与创作背景:**
   - 作者简介（生平、代表作、专业领域）
   - 写作动机与创作契机
   - 时代/社会背景（出版年代的相关背景）

   **核心要点:**
   - 提炼 3-5 个核心要点/论点
   - 每个要点附 1-2 句展开说明
   - 标注该要点主要体现在哪些章节

输出要求:
- 作者简介控制在 100 字以内
- 核心要点用编号列表
- 控制在 600 字以内
- 全部使用中文输出
- **标注信息来源**: 注明来源网站名称及原始链接

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: 问题与影响

Agent 3: Problems and Impacts

description: "分析{book_name}提出的问题与影响"

prompt 模板:

你是文化评论专家。请分析《{book_name}》（{author}）提出或揭示的关键问题及其影响。

类型提示：{type_hint}

任务:
1. 使用 WebSearch 搜索以下关键词（至少搜 2 次不同关键词）:
   - "{book_name} 问题 思考"
   - "{book_name} 影响 意义" 或 "{book_name} 书评 评价"
2. 使用 WebFetch 访问至少 1 条深度书评或学术评论，验证观点
3. 整理以下信息:

   **关键问题:**
   - 书中提出或揭示的 3-5 个核心问题
   - 每个问题的影响范围（个人/行业/社会）
   - 这些问题在当下是否仍然有现实意义

   **社会反响与影响:**
   - 出版后的社会讨论和反响
   - 获奖情况、销量、翻译语种等影响力指标
   - 争议观点（如有）

输出要求:
- 问题按重要性排序
- 影响分析要具体，避免空泛
- 控制在 600 字以内
- 全部使用中文输出
- **标注信息来源**: 注明来源网站名称及原始链接

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: 解决方案与实施建议

Agent 4: Solutions and Implementation Suggestions

description: "提取{book_name}的启示与实践建议"

prompt 模板:

你是知识应用专家。请提取《{book_name}》（{author}）中的解决方案、启示和可实践的建议。

类型提示：{type_hint}

任务:
1. 使用 WebSearch 搜索以下关键词（至少搜 2 次不同关键词）:
   - "{book_name} 启示 收获"
   - "{book_name} 读后感 实践" 或 "{book_name} takeaways"
2. 使用 WebFetch 访问至少 1 篇高质量读后感或实践分享，验证内容
3. 整理以下信息:

   **书中的思路/方案:**
   - 书中针对核心问题提出的思路或方案
   - 如果是文学作品，提取主题层面的启示和人生思考
   - 方法论或思维框架（如有）

   **读者行动建议:**
   - 3-5 条具体可操作的实践建议
   - 每条建议注明适用场景和局限性
   - 按难易程度排序（从易到难）

输出要求:
- 方案和建议要具体可操作，避免泛泛而谈
- 文学作品侧重思想启示，非虚构侧重方法论
- 控制在 600 字以内
- 全部使用中文输出
- **标注信息来源**: 注明来源网站名称及原始链接

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: 术语与索引

Agent 5: Terms and Index

description: "整理{book_name}关键术语索引"

prompt 模板:

你是知识整理专家。请整理《{book_name}》（{author}）中的关键术语和重要概念索引。

类型提示：{type_hint}

任务:
1. 使用 WebSearch 搜索以下关键词（至少搜 2 次不同关键词）:
   - "{book_name} 关键概念 术语"
   - "{book_name} 名词解释" 或 "{book_name} glossary key concepts"
2. 使用 WebFetch 访问至少 1 个包含术语解释的页面，验证定义准确性
3. 整理以下信息:

   **术语索引表:**
   - 列出书中 10-20 个关键术语/概念/人名/地名
   - 每个条目包含: 术语名称、简要定义（1-2句）、所在章节
   - 按首次出现的章节顺序排列

   **核心概念关联:**
   - 标注哪些术语之间存在关联（如: A是B的前提，C是D的应用）

输出要求:
- 术语表格式: 「术语 | 定义 | 出现章节」
- 定义简洁精确
- 控制在 600 字以内
- 全部使用中文输出
- **标注信息来源**: 注明来源网站名称及原始链接

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: 延伸阅读

Agent 6: Further Reading Recommendations

description: "推荐{book_name}相关阅读"

prompt 模板:

你是阅读顾问。请为《{book_name}》（{author}）推荐延伸阅读书目。

类型提示：{type_hint}

任务:
1. 使用 WebSearch 搜索以下关键词（至少搜 2 次不同关键词）:
   - "{book_name} 类似书籍 推荐"
   - "{author} 其他作品" 或 "{book_name} similar books recommended"
2. 使用 WebFetch 访问至少 1 个书单推荐页面，验证推荐理由
3. 整理以下信息:

   **同作者作品:**
   - 列出作者的其他代表作（2-3本），附一句话说明与本书的关联

   **同主题推荐:**
   - 5-6 本主题相关的书籍
   - 每本包含: 书名、作者、一句话关联说明（为什么推荐、与本书的关系）
   - 涵盖不同难度和视角

输出要求:
- 推荐理由要说明与本书的具体关联，不能泛泛说"也很好"
- 优先推荐经典作品和高评分作品
- 控制在 500 字以内
- 全部使用中文输出
- **标注信息来源**: 注明来源网站名称及原始链接

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: 综合分析 (主线程)

Phase 2: Comprehensive Analysis (Main Thread)

等待 6 个 Agent 全部返回后，在主线程中完成以下分析。

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

Step 1: 信息汇总

Step 1: Information Aggregation

将 6 个 Agent 的结果整合，识别：

各维度之间的 一致性信号（如: 多个来源提到同一核心观点 = 高置信度）
各维度之间的 补充关系（如: Agent 2 提到的核心要点可以与 Agent 1 的章节结构对应）
各维度之间的 矛盾信号（如: 不同来源对某观点的评价截然不同 = 需要标注争议）
同时整理各 Agent 返回的所有来源 URL，汇总到来源列表，用于报告末尾「参考来源」区块

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: 交叉关联

Step 2: Cross-Association

在 6 个维度之间建立关联：

要点 <-> 章节映射: 将核心要点（Agent 2）标注到对应章节（Agent 1）
问题 <-> 方案对应: 将问题（Agent 3）与解决方案（Agent 4）一一对应
术语 <-> 内容锚定: 验证术语索引（Agent 5）的章节标注与实际章节结构（Agent 1）一致
延伸阅读关联: 将推荐书目（Agent 6）与本书核心主题关联

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: 核心结论提炼

Step 3: Core Conclusion Extraction

基于以上分析，撰写 3-5 句话的核心结论：

这本书最核心的价值是什么
最值得关注的 1-2 个观点
最适合什么样的读者

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: 输出报告

Phase 3: Output Report

按以下 Markdown 格式输出最终报告：

markdown

undefined

Output the final report in the following Markdown format:

markdown

undefined

《{book_name}》深度学习笔记

Deep Learning Notes for {book_name}

作者：{author} | 类型：{book_type} | 分析日期：{date}

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

核心结论

Core Conclusions

{3-5 句话总结这本书最值得了解的内容，包含核心价值、关键观点和适合的读者}

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

一、章节结构与逻辑关系

I. Chapter Structure and Logical Relationships

章节概览

Chapter Overview

章节	标题	概要
第1章	{标题}	{一句话概要}
第2章	{标题}	{一句话概要}
...	...	...

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

逻辑主线

Main Logical Line

{描述全书的叙事/论证脉络，标明章节间的逻辑关系类型（递进、因果、并列、转折等）}

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

二、背景与要点

II. Background and Key Points

作者与创作背景

Author and Creation Background

{作者简介、写作动机、时代/社会背景}

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

核心要点

Core Key Points

{要点一}：{展开说明}（见第X章）
{要点二}：{展开说明}（见第X章）
{要点三}：{展开说明}（见第X章） ...

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

三、问题与影响

III. Problems and Impacts

关键问题

Key Problems

{问题一}：{问题描述} → 影响范围：{个人/行业/社会}
{问题二}：{问题描述} → 影响范围：{个人/行业/社会}
...

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

社会反响

Social Response

{出版后的讨论、获奖、争议等}

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

四、解决方案与实施建议

IV. Solutions and Implementation Suggestions

书中的思路/启示

Ideas/Insights in the Book

{书中针对核心问题的思路、方法论或主题启示}

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

读者行动建议

Action Suggestions for Readers

{建议一}（难度：⭐）：{具体描述} — 适用场景：{场景}
{建议二}（难度：⭐⭐）：{具体描述} — 适用场景：{场景}
{建议三}（难度：⭐⭐⭐）：{具体描述} — 适用场景：{场景} ...

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

五、术语与索引

V. Terms and Index

术语	定义	出现章节
{术语1}	{简要定义}	第X章
{术语2}	{简要定义}	第X章
...	...	...

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

六、延伸阅读

VI. Further Reading

书名	作者	关联说明
《{书名1}》	{作者}	{与本书的具体关联}
《{书名2}》	{作者}	{与本书的具体关联}
...	...	...

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

参考来源

Reference Sources

章节结构: {来源标题}, ...
背景要点: {来源标题}, ...
问题影响: {来源标题}, ...
方案建议: {来源标题}, ...
术语索引: {来源标题}, ...
延伸阅读: {来源标题}, ...

本笔记由 AI 自动生成，建议结合原书阅读。


**Markdown 填写规则:**
- 将模板中的占位符替换为实际数据
- 核心要点标注对应章节，方便回查原书
- 术语表按首次出现顺序排列
- 读者行动建议按难度从易到难排列
- **「参考来源」区块必填**：将 6 个 Agent 返回的所有来源链接按维度分组填入；不得省略、不得使用占位符 URL

将报告保存为文件: `./{book_name_en}-book-analysis-{date}.md`，保存在当前工作目录。

**文件名规则**: `{book_name_en}` 使用书名的英文或拼音形式（小写、连字符分隔），例如：
- 《长安的荔枝》→ `changan-lychee`
- 《人类简史》→ `sapiens`
- 《三体》→ `three-body`
- Thinking, Fast and Slow → `thinking-fast-and-slow`

---

Chapter Structure: {Source Title}, ...
Background and Key Points: {Source Title}, ...
Problems and Impacts: {Source Title}, ...
Solutions and Suggestions: {Source Title}, ...
Terms and Index: {Source Title}, ...
Further Reading: {Source Title}, ...

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 超时或失败: 如果某个 Agent 未返回结果，在报告中标注该维度为"数据不足，建议读者自行查阅"，其余维度照常分析
书名无法识别: 提示用户确认书名，可给出模糊匹配建议
小众/新书信息不足: 如果搜索结果极少，合并相关维度，减少重复的"信息不足"提示
多版本/多译本: 如遇同一本书有多个版本或译本，优先分析最知名/最新版本，并注明版本信息

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

每个 Agent 的输出严格限制字数，防止主线程上下文溢出
综合分析阶段重在 交叉关联，而非简单拼接 6 个维度的结果
术语索引的章节标注需与 Agent 1 的章节结构一致
核心结论应帮助读者判断"这本书是否值得我花时间读"
全部输出使用中文

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