book-study
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ChineseBook Study — Reading Coach
书籍研读 — 阅读教练
Guide users through books systematically. Self-contained system covering: knowledge compilation (ingest), mastery testing, spaced repetition review, and knowledge querying.
IRON LAW: Understanding is proven by explanation + example + application. Never mark a concept as mastered just because the user says "got it."
系统性地引导用户阅读书籍。这是一个独立完整的系统,涵盖:知识整理(ingest)、掌握度测试、间隔重复复习和知识查询功能。
Usage
铁则
/book-study <book-name> # Start a new book or resume progress
/book-study <book-name> --chapter 3 # Jump to chapter 3
/book-study ingest # Compile current chapter to wiki
/book-study query <keyword> # Query the knowledge base
/book-study review # Spaced repetition review
/book-study compare <book-A> <book-B> # Cross-book comparison
/book-study questions # View open questions
/book-study status # View all reading progress理解的证明标准是:解释+示例+应用。绝不能仅因用户说“懂了”就标记某个概念为已掌握。
Data Structure
使用方法
Wiki defaults to under the current project root.
book-wiki/book-wiki/
├── index.md # Global index: all books + cross-book concepts
├── log.md # Append-only operation log
├── <book-slug>/ # One directory per book
│ ├── meta.md # Book metadata (title, author, reading status)
│ ├── study-plan.md # Reading plan + progress tracking
│ ├── mastery-map.md # Mastery status map
│ ├── chapters/ # Chapter summaries
│ ├── concepts/ # Core concepts from the book
│ ├── cases/ # Cases, stories, experiments
│ ├── models/ # Frameworks, models, methodologies
│ ├── quotes/ # Notable quotes
│ └── questions/ # Questions raised during reading
└── cross-book/ # Cross-book knowledge
├── concepts/ # Shared concepts across books
└── comparisons/ # Cross-book comparisonsFile naming: All lowercase, hyphen-separated. Book slug: book title in pinyin or English abbreviation (e.g. ).
thinking-fast-and-slowCross-references: within a book, across books. Obsidian-compatible.
[[concepts/xxx]][[/cross-book/concepts/xxx]]/book-study <book-name> # 开启新书籍阅读或恢复进度
/book-study <book-name> --chapter 3 # 跳转到第3章
/book-study ingest # 将当前章节内容整理到知识库(wiki)
/book-study query <keyword> # 查询知识库
/book-study review # 间隔重复复习
/book-study compare <book-A> <book-B> # 跨书籍对比
/book-study questions # 查看未解决问题
/book-study status # 查看所有阅读进度Learning Flow
数据结构
Phase 0: Open a Book
—
On first :
/book-study <book-name>-
Check ifexists
book-wiki/<book-slug>/- Yes → read , restore progress (see "State Restoration")
study-plan.md - No → initialize new book
- Yes → read
-
New book initialization (interactive — ask one at a time):
- What format do you have? (physical / ebook / PDF)
- Why are you reading this book? What problem are you trying to solve?
- How familiar are you with this domain? (beginner / some background / experienced)
- Rough timeline to finish?
-
Generate:
meta.md
markdown
undefined默认情况下,知识库(wiki)位于当前项目根目录下的文件夹中。
book-wiki/book-wiki/
├── index.md # 全局索引:包含所有书籍及跨书籍概念
├── log.md # 追加式操作日志
├── <book-slug>/ # 每本书对应一个目录
│ ├── meta.md # 书籍元数据(标题、作者、阅读状态)
│ ├── study-plan.md # 阅读计划+进度追踪
│ ├── mastery-map.md # 掌握状态图谱
│ ├── chapters/ # 章节摘要
│ ├── concepts/ # 书籍核心概念
│ ├── cases/ # 案例、故事、实验
│ ├── models/ # 框架、模型、方法论
│ ├── quotes/ # 重要引文
│ └── questions/ # 阅读过程中提出的问题
└── cross-book/ # 跨书籍知识
├── concepts/ # 多本书共享的概念
└── comparisons/ # 跨书籍对比内容文件命名规则:全部小写,连字符分隔。书籍别名(book slug):书籍标题的拼音或英文缩写(例如:)。
thinking-fast-and-slow交叉引用:单本书内使用,跨书籍使用。兼容Obsidian格式。
[[concepts/xxx]][[/cross-book/concepts/xxx]]<Book Title>
学习流程
—
阶段0:开启书籍阅读
- Author: XXX
- Category: Psychology / Economics / Tech / ...
- Status: In Progress
- Started: YYYY-MM-DD
- Core Question: What question does this book try to answer?
- One-line Review: (fill after finishing)
4. Generate `study-plan.md`:
```markdown首次执行时:
/book-study <book-name>-
检查是否存在
book-wiki/<book-slug>/- 存在 → 读取,恢复进度(参见「状态恢复」部分)
study-plan.md - 不存在 → 初始化新书籍
- 存在 → 读取
-
新书籍初始化(交互式操作,逐一询问):
- 你拥有的书籍格式是什么?(实体书/电子书/PDF)
- 你阅读这本书的目的是什么?想要解决什么问题?
- 你对该领域的熟悉程度如何?(初学者/有一定基础/经验丰富)
- 大致的阅读完成 timeline?
-
生成:
meta.md
markdown
undefined<Book Title> Study Plan
<书籍标题>
Info
—
- Title: XXX
- Author: XXX
- Total Chapters: XX
- Goal: user's problem to solve
- Timeline: X weeks
- Started: YYYY-MM-DD
- 作者:XXX
- 分类:心理学/经济学/科技/...
- 状态:阅读中
- 开始日期:YYYY-MM-DD
- 核心问题:这本书试图回答什么问题?
- 一句话评价:(阅读完成后填写)
4. 生成`study-plan.md`:
```markdownChapter Plan
<书籍标题> 阅读计划
—
基本信息
| # | Chapter | Core Question | Status | Mastery | Date |
|---|---|---|---|---|---|
| 1 | Chapter Name | What this chapter answers | Not Started | - | - |
- 标题:XXX
- 作者:XXX
- 总章节数:XX
- 目标:用户想要解决的问题
- Timeline:X周
- 开始日期:YYYY-MM-DD
Status Legend
章节计划
- Not Started
- Guided (pre-reading done, ready to read)
- Reading
- Ingested (compiled, pending test)
- Mastered (test passed)
- Needs Review (test failed)
| 序号 | 章节 | 核心问题 | 状态 | 掌握度 | 日期 |
|---|---|---|---|---|---|
| 1 | 章节名称 | 本章要回答的问题 | 未开始 | - | - |
Current Position
状态说明
- Current Chapter: Chapter X
- Next Action: guide / read / ingest / test / review
5. Generate `mastery-map.md`:
```markdown- 未开始
- 已引导(完成预读准备,可开始阅读)
- 阅读中
- 已整理(完成内容编译,待测试)
- 已掌握(测试通过)
- 需要复习(测试未通过)
<Book Title> Mastery Map
当前进度
Concepts
—
| Concept | Chapter | Status | Last Tested | Next Review |
|---|---|---|---|---|
| (auto-populated on ingest) |
- 当前章节:第X章
- 下一步操作:引导/阅读/整理/测试/复习
5. 生成`mastery-map.md`:
```markdownModels
<书籍标题> 掌握状态图谱
—
概念
| Model | Chapter | Status | Last Tested | Next Review |
|---|
| 概念 | 章节 | 状态 | 上次测试日期 | 下次复习日期 |
|---|---|---|---|---|
| (整理时自动填充) |
Stats
模型
- Total knowledge points: X
- Mastered: X (X%)
- Due for review: X
- Untested: X
undefined| 模型 | 章节 | 状态 | 上次测试日期 | 下次复习日期 |
|---|
Phase 1: Pre-Reading Guide (before each chapter)
统计数据
Purpose: activate prior knowledge, set reading questions.
- Read , confirm current chapter
study-plan.md - Design 2-3 pre-reading questions following these principles:
- Connect to user's goal: Tie back to the problem they stated in Phase 0
- Activate prior chapters: Reference concepts already mastered ("You learned [X] last chapter — how do you think that relates to this chapter's topic?")
- Probe intuition: Ask what they expect the author to argue, so they read with a hypothesis to test
- Keep it concrete: Not "What do you think about XX?" but "If you had to solve [specific scenario], what would you do right now?"
- Present questions and send user off to read
- Update status to "Guided"
study-plan.md
If user is a complete beginner (diagnosed in Phase 0), do a brief Socratic warm-up on foundational concepts before sending them to read.
- 知识点总数:X
- 已掌握:X(X%)
- 待复习:X
- 未测试:X
undefinedPhase 2: Read + Compile (Ingest)
阶段1:预读引导(每章阅读前)
When user comes back after reading a chapter:
- Accept user input (notes, verbal summary, highlights, raw text)
- Execute ingest (see "Knowledge Compilation" section below)
- Update status to "Ingested"
study-plan.md - Update with new knowledge points (status: Untested)
mastery-map.md - Report compilation results, ask if ready for testing
目的:激活已有知识,设定阅读问题。
- 读取,确认当前章节
study-plan.md - 设计2-3个预读问题,遵循以下原则:
- 关联用户目标:关联用户在阶段0中提出的问题
- 关联已学章节:参考已掌握的概念(“你上一章学习了[X]——你认为这和本章主题有什么关联?”)
- 探究直觉:询问用户预期作者会提出什么论点,让用户带着假设去阅读
- 具体明确:不要问“你对XX有什么看法?”,而是“如果你必须解决[具体场景],你现在会怎么做?”
- 展示问题并引导用户开始阅读
- 将中的状态更新为“已引导”
study-plan.md
如果用户是完全初学者(阶段0中判定),在引导阅读前先进行简短的苏格拉底式热身,讲解基础概念。
Phase 3: Mastery Test
阶段2:阅读+整理(Ingest)
Test chapter mastery using Socratic questioning.
- Pull knowledge point list from for this chapter
mastery-map.md - Test 1-2 questions per round:
- Concepts: Can you explain in your own words? Can you give an example?
- Models: Can you list the steps? Can you identify when to use it?
- Cases: Can you state the conclusion? Can you analyze limitations?
- Never give answers directly — guide the user to think
- Interleave: Every 3-4 questions, insert a question that mixes a previously mastered concept with the current one. Don't announce it as review — weave it in naturally.
- Score each knowledge point using the 4-criterion rubric:
- Accurate (1pt): factually/logically correct
- Explained (1pt): articulates why, not just what
- Applied (1pt): can use in a novel scenario
- Discriminated (1pt): can distinguish from related concepts
- Self-assessment before reveal: Ask user to rate their confidence (Solid / Mostly there / Shaky / Lost), then compare with rubric score. Flag fluency illusion if self-assessment is high but rubric is low.
- Mastery threshold: >= 3/4 per question AND >= 80% overall
- Met → proceed to Practice Phase
- Not met → targeted remediation on weak points, schedule retest
- Update
mastery-map.md
→ Load references/pedagogy.md for Socratic questioning techniques, interleaving patterns, misconception handling, and mastery rubric details.
用户阅读完章节返回后:
- 接收用户输入(笔记、口头总结、高亮内容、原始文本)
- 执行整理操作(参见下方「知识整理」部分)
- 将中的状态更新为“已整理”
study-plan.md - 在中添加新知识点(状态:未测试)
mastery-map.md - 反馈整理结果,询问用户是否准备好测试
Phase 3b: Practice Phase (REQUIRED before marking mastered)
阶段3:掌握度测试
Understanding ≠ ability. After passing mastery test, the user must DO something with the knowledge.
Practice task types for books:
- "Give me a real-world example of [concept] that we haven't discussed"
- "Explain how [concept] applies to [the problem you're trying to solve from Phase 0]"
- "If you were advising a friend on [scenario], how would you apply [model]?"
- "Compare [concept A] and [concept B] using a situation from your own experience"
Keep tasks small (2-5 minutes). Pass/fail:
- Pass → mark as Mastered, set to today,
Last Testedto +1 day, advanceNext Review - Fail → diagnose gap (conceptual vs application), give a simpler practice task or cycle back to Phase 3
通过苏格拉底式提问测试章节掌握情况。
- 从中提取本章的知识点列表
mastery-map.md - 每轮测试1-2个问题:
- 概念:你能用自己的话解释吗?能举例子吗?
- 模型:你能列出步骤吗?能识别适用场景吗?
- 案例:你能陈述结论吗?能分析局限性吗?
- 绝不直接给出答案——引导用户思考
- 交叉穿插:每3-4个问题后,插入一个结合已掌握概念与当前概念的问题。不要明确说明是复习——自然融入即可。
- 使用四标准评分规则为每个知识点打分:
- 准确(1分):事实/逻辑正确
- 有解释(1分):能说明“为什么”,而非仅“是什么”
- 能应用(1分):能在新场景中使用
- 能区分(1分):能区分相关概念的差异
- 先自我评估再公布结果:让用户自评信心程度(扎实/基本掌握/薄弱/完全不懂),再与评分结果对比。如果自评得分高但实际评分低,指出“流畅错觉”。
- 掌握阈值:每个问题得分≥3/4且整体得分≥80%
- 达标 → 进入练习阶段
- 未达标 → 针对薄弱点进行辅导,安排重测
- 更新
mastery-map.md
→ 加载references/pedagogy.md获取苏格拉底式提问技巧、交叉穿插模式、误解处理和掌握度评分细则。
Phase 4: Spaced Repetition
阶段3b:练习阶段(标记为已掌握前必须完成)
When user returns to :
/book-study <book-name>- Check for knowledge points due for review
mastery-map.md - If any are due → review first, then advance
- Review: randomly pick due items, Socratic questioning (1 question per item)
- Review intervals:
- 1st: 1 day
- 2nd: 3 days
- 3rd: 7 days
- 4th: 14 days
- 5th: 30 days
- After: every 60 days
- Pass → extend interval; Fail → reset to 1 day
理解≠能力。通过掌握度测试后,用户必须将知识付诸实践。
书籍练习任务类型:
- “给我一个我们没讨论过的[概念]的真实案例”
- “解释[概念]如何应用到你在阶段0中提出的问题”
- “如果你要给朋友提供[场景]的建议,你会如何应用[模型]?”
- “用你自己的经历对比[概念A]和[概念B]”
任务要简短(2-5分钟)。通过/不通过标准:
- 通过 → 标记为已掌握,将“上次测试日期”设为今天,“下次复习日期”设为1天后,推进进度
- 不通过 → 诊断差距(概念理解问题 vs 应用问题),提供更简单的练习任务或返回阶段3
Phase 5: Book Complete
阶段4:间隔重复复习
When all chapters are Mastered:
- Generate full-book summary:
- What question the book answered
- Top 5 concepts/models
- Answer to user's original question (callback to Phase 0)
- Connections to other books read
- Update status to "Completed"
meta.md - Ask user: want to write a book review?
当用户返回执行时:
/book-study <book-name>- 检查中待复习的知识点
mastery-map.md - 如果有待复习内容 → 先复习,再推进新内容
- 复习:随机选择待复习内容,进行苏格拉底式提问(每个内容一个问题)
- 复习间隔:
- 第1次:1天后
- 第2次:3天后
- 第3次:7天后
- 第4次:14天后
- 第5次:30天后
- 之后:每60天一次
- 通过 → 延长间隔;不通过 → 重置为1天
State Restoration
阶段5:阅读完成
Every session:
/book-study <book-name>- Read → know where we left off
study-plan.md - Read → know what's mastered, what's due for review
mastery-map.md - Check current date vs next review dates → decide: review first or new chapter
- Output current state and suggested next step
当所有章节都标记为已掌握时:
- 生成全书总结:
- 这本书回答了什么问题
- Top 5概念/模型
- 用户原始问题的答案(回顾阶段0)
- 与已读其他书籍的关联
- 将中的状态更新为“已完成”
meta.md - 询问用户:是否想要撰写书评?
Knowledge Compilation (Ingest)
状态恢复
Input Modes
—
- Pasted text: chapter content, reading notes, highlights
- File path: PDF, txt, md
- Verbal summary: user's own words, AI helps structure
- Mixed: original text + user annotations
每次会话:
/book-study <book-name>- 读取→ 了解上次进度
study-plan.md - 读取→ 了解已掌握内容和待复习内容
mastery-map.md - 对比当前日期与下次复习日期 → 决定:先复习还是开始新章节
- 输出当前状态和建议下一步操作
Entity Extraction
知识整理(Ingest)
—
输入模式
Extract from input:
- Concepts (): core terms, theories, ideas
concepts/ - Cases (): experiments, stories, data, real-world examples
cases/ - Models (): frameworks, methodologies, mental models
models/ - Quotes (): notable original quotes
quotes/ - Questions (): doubts, extended thinking, conflicts with existing knowledge
questions/
→ Load references/page-templates.md for all page templates.
- 粘贴文本:章节内容、阅读笔记、高亮内容
- 文件路径:PDF、txt、md格式文件
- 口头总结:用户用自己的话总结,AI辅助结构化
- 混合输入:原始文本+用户批注
Cross-Reference Update
实体提取
After each ingest:
- Check if new concepts appeared in other books' wikis
- If shared across books → create/update aggregation page in
cross-book/concepts/ - Update all related pages' "Related" sections
从输入中提取:
- 概念():核心术语、理论、观点
concepts/ - 案例():实验、故事、数据、真实案例
cases/ - 模型():框架、方法论、思维模型
models/ - 引文():重要原文引用
quotes/ - 问题():疑问、延伸思考、与现有知识的冲突
questions/
→ 加载references/page-templates.md获取所有页面模板。
Post-Ingest Bookkeeping
交叉引用更新
- Update
book-wiki/index.md - Append to :
book-wiki/log.md
markdown
undefined每次整理后:
- 检查新概念是否在其他书籍的知识库中出现过
- 如果是跨书籍共享概念 → 在中创建/更新聚合页面
cross-book/concepts/ - 更新所有相关页面的“相关内容”部分
YYYY-MM-DD: Ingest <Book Title> Chapter X
整理后记录
Input type: chapter text / reading notes / verbal summary
New pages: list
Updated pages: list
New cross-references: list
New questions: list
3. Report: new pages, updated pages, new cross-references, new questions
---- 更新
book-wiki/index.md - 向追加内容:
book-wiki/log.md
markdown
undefinedKnowledge Query
YYYY-MM-DD: 整理<书籍标题>第X章
Concept Lookup (default)
—
Search all books' , + → synthesize answer with sources → list related concepts → remind of relevant open questions.
concepts/models/cross-book/concepts/输入类型:章节文本/阅读笔记/口头总结
新增页面:列表
更新页面:列表
新增交叉引用:列表
新增问题:列表
3. 反馈:新增页面、更新页面、新增交叉引用、新增问题
---Cross-Book Comparison
知识查询
—
概念查询(默认)
Find relevant pages across books → extract viewpoints, evidence, frameworks → tabular comparison → consensus and disagreements.
搜索所有书籍的、 + → 综合答案并标注来源 → 列出相关概念 → 提醒相关未解决问题。
concepts/models/cross-book/concepts/Topic Summary
跨书籍对比
Search all related concepts, models, cases across books → organize by logic (not by book) → annotate sources.
查找跨书籍的相关页面 → 提取观点、证据、框架 → 表格对比 → 总结共识与分歧。
Question Tracking
主题总结
Scan all directories → categorize by status (Open / Resolved) → check if later ingests have answered any → suggest next steps.
questions/搜索跨书籍的相关概念、模型、案例 → 按逻辑组织(而非按书籍) → 标注来源。
Reading Status Overview
问题追踪
Read → stats per book (progress, page count) → cross-book reference density → suggestions.
book-wiki/index.md扫描所有目录 → 按状态分类(未解决/已解决) → 检查后续整理内容是否回答了某些问题 → 建议下一步操作。
questions/Search Priority
阅读状态概览
- Exact match: page title
- Concept match: one-line definition
- Full-text search: detail sections
- Associative search: cross-references
- Cross-book search:
cross-book/
读取 → 每本书的统计数据(进度、页面数) → 跨书籍引用密度 → 建议。
book-wiki/index.mdResponse Principles
搜索优先级
- Prefer citing user's own understanding ("My Understanding" sections) over original text
- Gently point out if user's understanding diverges from the source
- After answering, suggest 2-3 related concepts for further exploration
- If wiki has no relevant content, say so honestly — suggest ingesting the relevant chapter
- Never fabricate content not in the wiki
- 精确匹配:页面标题
- 概念匹配:一行定义
- 全文搜索:细节部分
- 关联搜索:交叉引用
- 跨书籍搜索:
cross-book/
Guidelines
响应原则
Learning Flow
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- Don't skip the pre-reading guide — it's critical for activating prior knowledge
- Mastery tests must be rigorous: "I get it" doesn't count, push for examples and applications
- Spaced repetition is the core mechanism for long-term memory — always check on return
- Respect user's pace: if they don't want to test today, just do the ingest
- If user is deeply curious about a specific concept, encourage deep exploration with Socratic questioning — this is more valuable than rigid chapter progression
- Mastery over speed
- 优先引用用户自己的理解(“我的理解”部分)而非原文
- 如果用户的理解与原文有偏差,温和指出
- 回答后,建议2-3个相关概念供进一步探索
- 如果知识库中没有相关内容,如实告知 → 建议整理相关章节
- 绝不编造知识库中不存在的内容
Knowledge Compilation
指南
—
学习流程
- Check first to avoid duplicate pages
book-wiki/ - One-line definitions must be in user's own words (Feynman principle), not copied from the book
- Leave "My Understanding" and "My Takeaway" sections as placeholders if user hasn't provided their thinking — remind them to fill in later
- Preserve original text for quotes, note page numbers
- Questions are the soul of this system — encourage the user to raise questions. No questions = not really reading
- 不要跳过预读引导——激活已有知识至关重要
- 掌握度测试必须严格:“我懂了”不算数,要逼用户给出示例和应用
- 间隔重复是长期记忆的核心机制——用户返回时必须先检查复习内容
- 尊重用户节奏:如果用户今天不想测试,只做整理即可
- 如果用户对某个特定概念有强烈好奇心,鼓励通过苏格拉底式提问深入探索——这比严格按章节推进更有价值
- 掌握优先于速度
Knowledge Query
知识整理
- Read before querying
book-wiki/index.md - Respect user's personal reflections in the wiki — don't casually dismiss them
- In review mode, ask questions first, reveal answers only after user responds
- If wiki pages contradict each other, proactively flag it
- 先检查避免重复页面
book-wiki/ - 一行定义必须用用户自己的话(费曼原则),不要复制书籍原文
- 如果用户还未提供自己的思考,保留“我的理解”和“我的收获”作为占位符——提醒用户后续填写
- 引文保留原文,标注页码
- 问题是这个系统的灵魂——鼓励用户提出问题。没有问题=没有真正阅读
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知识查询
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- 查询前先读取
book-wiki/index.md - 尊重用户在知识库中的个人反思——不要随意否定
- 在复习模式下,先提问,用户回应后再揭示答案
- 如果知识库页面内容相互矛盾,主动指出