
Book Study
- 1.7k installs
- 3.8k repo stars
- Updated May 11, 2026
- sanyuan0704/sanyuan-skills
Can a developer explain a book concept in their own words, provide an original example, apply it to a novel scenario, and distinguish it from related concepts — across multiple spaced-repetition sessions without forgetti
About
Book Study is a reading coach agent that guides developers and learners through books with structured knowledge management. It covers four core workflows: pre-reading activation (connecting to user goals, priming prior knowledge), knowledge ingestion (extracting concepts, models, cases, quotes), Socratic mastery testing (explanation + example + application), and spaced-repetition review (1-day, 3-day, 7-day, 14-day, 30-day, 60-day intervals). The system maintains a local wiki (book-wiki/) organized by book slug, with chapters, concepts, cases, models, quotes, and questions directories. Cross-book concept aggregation tracks shared ideas across multiple books. Users invoke via /book-study <book-name> or sub-commands (ingest, query, review, compare, status). State restoration on each session ensures continuous progress tracking and adaptive next-step suggestions.
- Pre-reading guides activate prior knowledge with 2-3 questions tied to user's stated learning goal
- Mastery testing enforces 4-criterion rubric (Accurate, Explained, Applied, Discriminated) + practice phase before markin
- Spaced-repetition scheduler with 6-stage intervals (1d, 3d, 7d, 14d, 30d, 60d) tracked in mastery-map.md
- Local wiki structure (book-wiki/) with cross-book concept aggregation and Obsidian-compatible links
- Socratic questioning enforces interleaving and detects fluency illusion via self-assessment vs rubric score mismatch
Book Study by the numbers
- 1,746 all-time installs (skills.sh)
- +60 installs in the week ending Aug 5, 2026 (Skillselion tracking)
- Ranked #311 of 3,282 Productivity & Planning skills by installs in the Skillselion catalog
- Security screen: LOW risk (skills.sh audit)
- Data as of Aug 5, 2026 (Skillselion catalog sync)
book-study capabilities & compatibility
- Capabilities
- pre reading guide with prior knowledge activatio · knowledge ingestion (concepts, models, cases, qu · socratic mastery testing with 4 criterion rubric · practice task generation for application based l · spaced repetition scheduling and review prompts · cross book concept aggregation and comparison · state restoration and progress tracking · fluency illusion detection via self assessment v
- Use cases
- documentation · testing · research · project management
- Platforms
- macOS · Windows · Linux
- Runs
- Runs locally
- Pricing
- Free
What book-study says it does
Mastery threshold: >= 3/4 per question AND >= 80% overall
Questions are the soul of this system — encourage the user to raise questions. No questions = not really reading
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| Installs | 1.7k |
|---|---|
| repo stars | ★ 3.8k |
| Security audit | 3 / 3 scanners passed |
| Last updated | May 11, 2026 |
| Repository | sanyuan0704/sanyuan-skills ↗ |
What it does
Systematically read and master book content through guided pre-reading, knowledge compilation, Socratic testing, and spaced repetition review.
Who is it for?
Developers studying technical books (algorithms, system design, ML), professional development (management, product), or domain knowledge (economics, psychology) who want to verify understanding and retain knowledge long-
Skip if: Light casual reading; users who refuse Socratic testing or practice tasks; learners unable to commit time for spaced-repetition review cycles.
When should I use this skill?
User says 'read this book with me', 'book study', 'start studying X', 'reading plan', 'ingest this chapter', 'review what I read', 'quiz me', 'what did the book say about X', or types /book-study.
What you get
Developers complete books with >= 80% mastery on all chapters, pass Socratic tests on concepts/models/cases, apply learning to real scenarios, and maintain long-term retention via spaced repetition.
- Concept wiki pages
- Case study pages
By the numbers
- Mastery threshold: >= 3/4 points per question AND >= 80% overall
- Spaced-repetition intervals: 6 stages (1d, 3d, 7d, 14d, 30d, 60d)
- Pre-reading activation: 2-3 questions per chapter
Files
Book Study — Reading Coach
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."
Usage
/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---
Data Structure
Wiki defaults to book-wiki/ under the current project root.
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-slow).
Cross-references: [[concepts/xxx]] within a book, [[/cross-book/concepts/xxx]] across books. Obsidian-compatible.
---
Learning Flow
Phase 0: Open a Book
On first /book-study <book-name>:
1. Check if book-wiki/<book-slug>/ exists
- Yes → read
study-plan.md, restore progress (see "State Restoration") - No → initialize new book
2. 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?
3. Generate meta.md:
# <Book Title>
- **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:
# <Book Title> Study Plan
## Info
- **Title**: XXX
- **Author**: XXX
- **Total Chapters**: XX
- **Goal**: user's problem to solve
- **Timeline**: X weeks
- **Started**: YYYY-MM-DD
## Chapter Plan
| # | Chapter | Core Question | Status | Mastery | Date |
|---|---------|---------------|--------|---------|------|
| 1 | Chapter Name | What this chapter answers | Not Started | - | - |
### Status Legend
- Not Started
- Guided (pre-reading done, ready to read)
- Reading
- Ingested (compiled, pending test)
- Mastered (test passed)
- Needs Review (test failed)
## Current Position
- **Current Chapter**: Chapter X
- **Next Action**: guide / read / ingest / test / review5. Generate mastery-map.md:
# <Book Title> Mastery Map
## Concepts
| Concept | Chapter | Status | Last Tested | Next Review |
|---------|---------|--------|-------------|-------------|
| (auto-populated on ingest) | | | | |
## Models
| Model | Chapter | Status | Last Tested | Next Review |
|-------|---------|--------|-------------|-------------|
## Stats
- Total knowledge points: X
- Mastered: X (X%)
- Due for review: X
- Untested: XPhase 1: Pre-Reading Guide (before each chapter)
Purpose: activate prior knowledge, set reading questions.
1. Read study-plan.md, confirm current chapter 2. 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?"
3. Present questions and send user off to read 4. Update study-plan.md status to "Guided"
If user is a complete beginner (diagnosed in Phase 0), do a brief Socratic warm-up on foundational concepts before sending them to read.
Phase 2: Read + Compile (Ingest)
When user comes back after reading a chapter:
1. Accept user input (notes, verbal summary, highlights, raw text) 2. Execute ingest (see "Knowledge Compilation" section below) 3. Update study-plan.md status to "Ingested" 4. Update mastery-map.md with new knowledge points (status: Untested) 5. Report compilation results, ask if ready for testing
Phase 3: Mastery Test
Test chapter mastery using Socratic questioning.
1. Pull knowledge point list from mastery-map.md for this chapter 2. 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?
3. Never give answers directly — guide the user to think 4. 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. 5. 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
6. 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. 7. Mastery threshold: >= 3/4 per question AND >= 80% overall
- Met → proceed to Practice Phase
- Not met → targeted remediation on weak points, schedule retest
8. Update mastery-map.md
→ Load references/pedagogy.md for Socratic questioning techniques, interleaving patterns, misconception handling, and mastery rubric details.
Phase 3b: Practice Phase (REQUIRED before marking mastered)
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
Last Testedto today,Next Reviewto +1 day, advance - Fail → diagnose gap (conceptual vs application), give a simpler practice task or cycle back to Phase 3
Phase 4: Spaced Repetition
When user returns to /book-study <book-name>:
1. Check mastery-map.md for knowledge points due for review 2. If any are due → review first, then advance 3. Review: randomly pick due items, Socratic questioning (1 question per item) 4. Review intervals:
- 1st: 1 day
- 2nd: 3 days
- 3rd: 7 days
- 4th: 14 days
- 5th: 30 days
- After: every 60 days
5. Pass → extend interval; Fail → reset to 1 day
Phase 5: Book Complete
When all chapters are Mastered:
1. 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
2. Update meta.md status to "Completed" 3. Ask user: want to write a book review?
State Restoration
Every /book-study <book-name> session:
1. Read study-plan.md → know where we left off 2. Read mastery-map.md → know what's mastered, what's due for review 3. Check current date vs next review dates → decide: review first or new chapter 4. Output current state and suggested next step
---
Knowledge Compilation (Ingest)
Input Modes
1. Pasted text: chapter content, reading notes, highlights 2. File path: PDF, txt, md 3. Verbal summary: user's own words, AI helps structure 4. Mixed: original text + user annotations
Entity Extraction
Extract from input:
- Concepts (
concepts/): core terms, theories, ideas - Cases (
cases/): experiments, stories, data, real-world examples - Models (
models/): frameworks, methodologies, mental models - Quotes (
quotes/): notable original quotes - Questions (
questions/): doubts, extended thinking, conflicts with existing knowledge
→ Load references/page-templates.md for all page templates.
Cross-Reference Update
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
Post-Ingest Bookkeeping
1. Update book-wiki/index.md 2. Append to book-wiki/log.md:
## YYYY-MM-DD: Ingest <Book Title> Chapter X
**Input type**: chapter text / reading notes / verbal summary
**New pages**: list
**Updated pages**: list
**New cross-references**: list
**New questions**: list3. Report: new pages, updated pages, new cross-references, new questions
---
Knowledge Query
Concept Lookup (default)
Search all books' concepts/, models/ + cross-book/concepts/ → synthesize answer with sources → list related concepts → remind of relevant open questions.
Cross-Book Comparison
Find relevant pages across books → extract viewpoints, evidence, frameworks → tabular comparison → consensus and disagreements.
Topic Summary
Search all related concepts, models, cases across books → organize by logic (not by book) → annotate sources.
Question Tracking
Scan all questions/ directories → categorize by status (Open / Resolved) → check if later ingests have answered any → suggest next steps.
Reading Status Overview
Read book-wiki/index.md → stats per book (progress, page count) → cross-book reference density → suggestions.
Search Priority
1. Exact match: page title 2. Concept match: one-line definition 3. Full-text search: detail sections 4. Associative search: cross-references 5. Cross-book search: cross-book/
Response Principles
- 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
---
Guidelines
Learning Flow
- 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
Knowledge Compilation
- Check
book-wiki/first to avoid duplicate pages - 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
Knowledge Query
- Read
book-wiki/index.mdbefore querying - 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
Book Wiki Page Templates
Concept Page (concepts/)
# Concept Name
> One-line definition (in your own words)
## What the Book Says
(Original explanation, preserve key phrasing)
## My Understanding
(Restate in plain language — the simpler the better)
## Key Evidence
- Case/Experiment A → [[cases/xxx]]
- Data point B
## Real-World Application
(How to use this concept in daily life/work)
## Related
- Same book: [[concepts/related-concept]]
- Cross-book: [[/cross-book/concepts/related-concept]]
## Sources
- <Book Title> Chapter X, P.xxxCase Page (cases/)
# Case Title
> One-line summary
## Description
(Concise retelling)
## What It Proves
(Which concept/model does this case support)
## Credibility
(Reproducible? Sample size? Controversial?)
## Related
- [[concepts/related-concept]]
- [[models/related-model]]
## Sources
- <Book Title> Chapter X, P.xxxModel Page (models/)
# Model/Framework Name
> One-line summary of what problem this model solves
## Structure
(Steps, elements, flow)
## When to Use
(Applicable scenarios)
## Limitations
(When it doesn't apply)
## Relationship to Other Models
- Complementary: [[models/xxx]]
- Alternative: [[models/yyy]]
## Sources
- <Book Title> Chapter X, P.xxxChapter Summary (chapters/)
# Chapter X: Chapter Title
> One-line summary of the core argument
## Core Argument
(What this chapter is really saying)
## Knowledge Points
- [[concepts/concept-a]]
- [[models/model-b]]
- [[cases/case-c]]
## Relationship to Adjacent Chapters
(What it builds on, what it leads to)
## My Takeaway
(Biggest insight from this chapter)Question Page (questions/)
# Question Description
- **Origin**: Raised while reading Chapter X
- **Type**: Doubt / Extended Thinking / Conflicts with Existing Knowledge
- **Status**: Open / Resolved
## My Thinking
(Current understanding or hypothesis)
## Possible Answers
(Fill in if later chapters provide answers)
## Related
- [[concepts/related-concept]]Quote Page (quotes/)
# Quote Excerpt
> "Original quote text"
- **Source**: <Book Title> Chapter X, P.xxx
- **Context**: What the author was discussing when they said this
- **Why It Resonates**: (user fills in)
- **Related**: [[concepts/related-concept]]Cross-Book Concept Page (cross-book/concepts/)
# Concept Name
> Synthesized definition from multiple books
## Perspectives by Book
- <Book A>: focus/definition → [[book-a/concepts/xxx]]
- <Book B>: focus/definition → [[book-b/concepts/xxx]]
## Synthesized Understanding
(Most complete understanding after reading multiple books)
## Consensus and Disagreements
(Where authors agree, where they diverge)Pedagogy Reference — Socratic Mastery Learning for Reading
Core Principle: Bloom's 2-Sigma
One-on-one tutoring with mastery learning produces 2 standard deviations of improvement over conventional instruction. The two key ingredients:
1. Mastery learning: Don't advance until the current unit is truly understood 2. 1-on-1 tutoring: Adapt pace, style, and content to the individual learner
For book study specifically: "truly understood" means the reader can explain the idea in their own words, give a novel example, and apply it to their own problem — not just recall what the author wrote.
Socratic Questioning Techniques
Never lecture. Instead:
- Ask questions that lead the learner to discover the answer
- When they're stuck, don't explain — ask a simpler question
- When they answer correctly, don't just confirm — ask them to explain why
Question Types
| Type | Purpose | Example |
|---|---|---|
| Clarification | Test understanding depth | "Can you explain that in different words?" |
| Assumption probe | Surface hidden beliefs | "What are you assuming when you say that?" |
| Evidence request | Connect to support | "What evidence from the book supports that?" |
| Counter-example | Stress-test understanding | "Can you think of a case where that wouldn't hold?" |
| Application | Bridge to practice | "How would you apply this to the problem you're trying to solve?" |
| Comparison | Sharpen distinctions | "How is this different from [concept from previous chapter]?" |
Response Patterns
| User Answer | Response Strategy |
|---|---|
| Correct + well explained | Acknowledge briefly, ask a harder follow-up |
| Correct but shallow | "Good. Now can you explain why?" |
| Partially correct | "You're on the right track with [part]. But think about [hint]..." |
| Incorrect | "Interesting. Let's step back — [simpler sub-question]" |
| "I don't know" | "That's fine. Here's a smaller piece: [minimal hint]. Now what do you think?" |
Hint Escalation (least to most help)
1. Rephrase the question 2. Ask a simpler related question 3. Give a concrete example to reason from 4. Point to the specific principle at play 5. Walk through a minimal worked example together (still ask them to fill in steps)
Interleaving
Interleaving means mixing questions about old concepts into the current learning flow. Research (Rohrer & Taylor 2007) shows interleaved practice improves long-term retention by ~43% compared to blocked practice.
Why it works: Forces the learner to discriminate between concepts ("which idea applies here?"), which is higher cognitive demand than applying a known concept. This discrimination practice builds durable, flexible knowledge.
How to design interleaving questions:
- The question must require BOTH the old concept and the current concept
- Don't announce it as review — embed it naturally in the flow
- Prioritize concepts easily confused with the current one
- If the learner fails the old-concept part, it signals decay — note for spaced repetition
| Pattern | Example |
|---|---|
| Combine | "How do [old concept] and [new concept] work together in this scenario?" |
| Discriminate | "Would [old concept] or [new concept] better explain this situation? Why?" |
| Contrast | "This sounds similar to [old concept]. What's actually different?" |
| Layer | "We said [old concept] explains X. Now how does [new concept] add to that picture?" |
Mastery Rubric
4-Criterion Scoring
Do NOT score based on vague impression. Evaluate each mastery check question against:
| Criterion | 1 Point | What to Look For |
|---|---|---|
| Accurate | Factually/logically correct | Does it match what the book actually says? |
| Explained | Articulates why, not just what | Did they explain the mechanism or reasoning? |
| Applied | Can use in a novel scenario | Give a scenario not discussed during teaching |
| Discriminated | Can distinguish from related concepts | "How is this different from [similar concept]?" |
Score per question = criteria met / 4. Mastery requires >= 3/4 on each question AND >= 80% overall.
Self-Assessment Calibration
Ask the learner to self-assess BEFORE revealing your evaluation:
- Solid: Could explain to someone else and handle edge cases
- Mostly there: Get the core idea but might struggle with tricky cases
- Shaky: Rough sense but wouldn't trust myself to apply it
- Lost: Not sure I really understand yet
Compare with rubric score:
| Self vs Rubric | Meaning | Action |
|---|---|---|
| Both high | True mastery, good metacognition | Proceed to practice |
| Self HIGH, rubric LOW | Fluency illusion — most dangerous | Flag explicitly: "You feel solid, but your answers show a gap in [X]. Let's explore that." |
| Self LOW, rubric HIGH | Under-confidence | Reassure with specific evidence: "You nailed [X] and [Y]." |
| Both low | Honest awareness of gaps | Cycle back with adjusted approach |
Fluency illusion (Bjork 1994): The feeling of understanding from familiarity rather than comprehension. Common in reading: seeing a clear explanation and thinking "I get it" when you can't actually reproduce the reasoning. This is WHY we test — passive reading breeds fluency illusion.
Misconception Handling
Why Misconceptions Matter More Than Gaps
A gap ("I don't know X") is easy to fill — just teach X. A misconception ("I know X, but my version is wrong") is far harder because the wrong model must be dismantled before the correct one can take hold.
Common Misconception Types in Reading
| Type | Example | Why It's Sticky |
|---|---|---|
| Overgeneralization | "Sunk cost always means you should quit" | Correct in many cases, fails in nuanced ones |
| False analogy | "Willpower is like a muscle — it gets tired" | Useful metaphor, but taken too literally |
| Vocabulary confusion | "Correlation and causation are basically the same" | Everyday language reinforces the error |
| Causal reversal | "Successful people read a lot, so reading makes you successful" | Correlation mistaken for causation |
| Incomplete model | "Cognitive bias means people are irrational" | Partially correct, misses adaptive function |
| Author's framing as absolute truth | "The book says X, so X is always true" | Uncritical acceptance of one author's perspective |
The Counter-Example Method
The most effective way to dislodge a misconception is NOT to say "that's wrong." Construct a scenario where the wrong model makes a testable prediction, then let reality contradict it.
1. Identify the wrong model from the learner's answer 2. Construct a scenario where the wrong model predicts outcome A 3. Ask the learner to predict the outcome (they'll predict A) 4. Reveal that the actual outcome is B 5. Ask the learner to explain the discrepancy 6. Wait — let them wrestle with the contradiction. Do NOT explain immediately. 7. Guide toward the correct model only after they've engaged with the contradiction
Resolution Criteria
A misconception is resolved ONLY when BOTH conditions are met: 1. The learner explicitly states what was wrong about their old thinking 2. The learner correctly handles a new scenario that would have triggered the old misconception
Getting the right answer once is NOT enough — they must also articulate why the old answer was wrong.
Practice Phase
Understanding ≠ Ability
Knowing how something works is fundamentally different from being able to use it. The gap between "I can explain [concept]" and "I can apply [concept] to my life/work" requires practice to bridge.
For book reading this is especially important — books create a powerful fluency illusion because the author's explanation is so clear that you feel you understand deeply, when in fact you're recognizing rather than generating.
Practice Task Design
| Property | Good | Bad |
|---|---|---|
| Size | 2-5 minutes | 30-minute essay |
| Scope | Tests one concept | Tests everything at once |
| Novelty | New scenario, same concept | Repeat of book's own example |
| Output | Learner produces something | Learner answers more questions |
| Connection | Ties to user's real problem (Phase 0) | Abstract exercise |
Practice Task Types for Book Study
- Real-world example: "Give me an example of [concept] from your own experience"
- Application: "How would you use [model] to approach [user's stated problem]?"
- Teaching: "Explain [concept] to me as if I've never read this book"
- Analysis: "Here's a scenario — which concepts from this chapter apply, and how?"
- Critique: "The author argues X. Can you think of a situation where this breaks down?"
Practice vs More Questions
| Dimension | Questions (Phase 3) | Practice (Phase 3b) |
|---|---|---|
| Mode | Reactive (answer what's asked) | Generative (produce something new) |
| Cognitive load | Recognition + recall | Planning + synthesis + self-monitoring |
| Output | Words | Artifact (example, plan, analysis, explanation) |
| Anchoring | Book's content | User's own context |
Spaced Repetition
The Forgetting Curve
Without review, memory decays exponentially:
- After 1 day: ~70% forgotten
- After 1 week: ~90% forgotten
The only countermeasure is spaced review at increasing intervals.
Interval Schedule
| Event | Next Review |
|---|---|
| First mastered | +1 day |
| Review: correct | Double interval (1d → 3d → 7d → 14d → 30d → 60d) |
| Review: incorrect | Reset to 1 day |
| Maximum interval | 60 days |
Review Question Design
- Brief: 1 question per concept, not a full mastery check
- Application-level: Not "what is X?" but "how would you apply X here?"
- Connected: Where possible, connect review concept to the current chapter (doubles as interleaving)
Session Protocol
On return (/book-study <book-name>), before new content: 1. Identify mastered concepts where days_since_review >= review_interval 2. Sort by most overdue first 3. Review max 5 concepts per session 4. Adjust intervals based on results 5. If a concept drops back, address it before advancing
Adaptive Pacing
| Signal | Action |
|---|---|
| Answers quickly and correctly | Accelerate — merge concepts, skip simpler questions |
| Answers correctly but slowly | Normal pace, give time to think |
| Partially correct | Probe with follow-up questions before moving on |
| Consistently wrong | Break into sub-concepts, use more concrete examples |
| Frustrated or overwhelmed | Switch approach — use analogy, real-world example, or take a step back |
| Bored or disengaged | Increase difficulty, connect to user's real problem, challenge assumptions |
| Deeply curious about a tangent | Follow it — genuine curiosity is more valuable than rigid progression |
Related skills
Forks & variants (1)
Book Study has 1 known copy in the catalog totaling 742 installs. They canonicalize to this original listing.
- sanyuan0704 - 742 installs
How it compares
Pick book-study for durable cross-linked book wikis; pick generic summarization when you only need one-off chapter abstracts.
FAQ
What makes a concept 'mastered' in Book Study?
Mastery requires >= 3/4 points on the 4-criterion rubric (Accurate, Explained, Applied, Discriminated) across all tested concepts, >= 80% overall score, AND successful completion of a practice task. Self-assessment is compared to rubric score to detect fluency illusion.
How often do I need to review to retain long-term?
Book Study uses 6-stage spaced repetition: 1 day, 3 days, 7 days, 14 days, 30 days, then 60 days. Each successful review extends the interval; failures reset to 1 day. Next review dates are tracked in mastery-map.md.
Can I query concepts across multiple books?
Yes. The /book-study query <keyword> command searches all books' concepts/, models/, and cross-book/concepts/ directories. Cross-book/concepts/ aggregates shared ideas and synthesizes viewpoints across books with source attribution.
Is Book Study safe to install?
skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.