Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
sanyuan0704 avatar

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)
At a glance

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
From the docs

What book-study says it does

Mastery threshold: >= 3/4 per question AND >= 80% overall
skill:sanyuan0704/sanyuan-skills#book-study
Questions are the soul of this system — encourage the user to raise questions. No questions = not really reading
skill:sanyuan0704/sanyuan-skills#book-study
npx skills add https://github.com/sanyuan0704/sanyuan-skills --skill book-study

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs1.7k
repo stars3.8k
Security audit3 / 3 scanners passed
Last updatedMay 11, 2026
Repositorysanyuan0704/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

SKILL.mdMarkdownGitHub ↗

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 comparisons

File 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 / review

5. 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: X

Phase 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 Tested to today, Next Review to +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**: list

3. 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.md before 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

Related skills

Forks & variants (1)

Book Study has 1 known copy in the catalog totaling 742 installs. They canonicalize to this original listing.

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.

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.