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Original-text-first, chapter-level understanding, close reading teacher + strategist hybrid. Auto-saves to...\n\nTags: latest:1.2.0\n\nVersion history:\n\nv1.2.0 | 2026-04-19T01:53:27.409Z | user\n\nCombined README into SKILL.md for ClawHub display - includes install guide + execution instructions in one file\n\nv1.1.1 | 2026-04-19T01:48:28.615Z | user\n\nReverted metadata change - SKILL.md back to clean\n\nv1.1.0 | 2026-04-19T01:43:54.415Z | user\n\nAdded metadata with install instructions and quick start to frontmatter for ClawHub page display\n\nv1.0.9 | 2026-04-19T01:40:43.512Z | user\n\nExpanded README with full installation guide, quick start, requirements, troubleshooting for ClawHub users\n\nv1.0.8 | 2026-04-19T01:38:41.605Z | user\n\nAdded README.md with usage documentation for ClawHub users\n\nv1.0.7 | 2026-04-19T01:31:35.875Z | user\n\nRemoved last two hard constraints: char minimum and fixed question count. Both are now content-driven.\n\nv1.0.6 | 2026-04-19T01:27:33.838Z | user\n\nRemoved word count minimum. Depth is content-driven, not length-driven.\n\nv1.0.5 | 2026-04-19T01:23:18.059Z | user\n\nRestored full book-deep-study teaching philosophy + execution workflow. Essay-style deepdives, 1000 word minimum, anti-generic, EPUB-first, auto-Obsidian.\n\nv1.0.4 | 2026-04-19T01:21:09.144Z | user\n\nRewrote instructions to produce essay-style deepdives, not bullet reports. Anti-template, min 1000 words, content-specific headers only.\n\nv1.0.3 | 2026-04-19T01:17:31.699Z | user\n\nStronger execution instructions: min 800 words/chapter, quality check, anti-generic rule, explicit depth signals\n\nv1.0.2 | 2026-04-19T01:13:47.734Z | user\n\nSimplified SKILL.md - removed ClawHub display content, kept only subagent execution instructions\n\nv1.0.1 | 2026-04-19T00:49:08.656Z | user\n\nAdded detailed README with setup, usage, examples, and feature documentation\n\nv1.0.0 | 2026-04-19T00:38:45.697Z | user\n\nPersonalized content-driven deep reading tutor; renamed from book-deep-study as the preferred entrypoint.\n\nArchive index:\n\nArchive v1.2.0: 10 files, 17323 bytes\n\nFiles: _meta.json (128b), README.md (3629b), references/chapter-by-chapter.md (9799b), references/invocation-prompts.md (1253b), references/patterns.md (1821b), references/quiz-templates.md (1668b), scripts/epub_chapter_reader.py (4394b), scripts/save_chapter_deepdive.py (3392b), skill-card.md (2124b), SKILL.md (7978b)\n\nFile v1.2.0:SKILL.md\n\n---\nname: deeptutor\ndescription: A personalized content-driven deep reading tutor. Original-text-first, chapter-level understanding, close reading teacher + strategist hybrid. Auto-saves to Obsidian.\n---\n\n# DeepTutor\n\nA personalized, content-driven deep reading tutor. Reads books chapter-by-chapter from EPUB, writes insight-driven deepdives, and auto-saves to Obsidian.\n\n## What it does\n\n- **Reads from EPUB** — extracts original chapter text directly from the book file\n- **Content-driven deepdives** — explains what each chapter is really doing, not just summarizing\n- **Auto-saves to Obsidian** — every deepdive is saved with navigation links\n- **Quiz optional** — generate comprehension checks after each chapter\n\n## Installation\n\n### Option 1: ClawHub (recommended)\n\n```bash\nclawhub install deeptutor\n```\n\nOr install a specific version:\n\n```bash\nclawhub install deeptutor@1.1.1\n```\n\n### Option 2: Manual\n\nClone this repo to your OpenClaw skills folder:\n\n```bash\ngit clone <repo-url> /data/workspace/skills/skills/deeptutor\n# or\ncp -r deeptutor /path/to/your/skills/folder/\n```\n\n## Quick Start\n\n### From OpenClaw\n\nJust invoke by name in your conversation:\n\n```\ndeeptutor，读 Chapter 4\n```\n\nOr more explicitly:\n\n```\n用 deeptutor 带我读 Chapter 4\n```\n\n### Subagent execution\n\nIf spawning a subagent to read a book:\n\n```\nUse deeptutor to read Chapter 3 of Supercommunicators from the EPUB, write a deepdive, and save to Obsidian.\n```\n\nThe skill will:\n1. List chapters from the EPUB\n2. Extract the requested chapter's original text\n3. Write a content-driven deepdive\n4. Save to Obsidian automatically\n\n## Requirements\n\n- **OpenClaw** environment\n- **EPUB file** of the book to read\n- **Obsidian vault** at `/data/workspace/obsidian-vault/` (or adjust the save script path)\n\n---\n\n# SKILL.md — Execution Instructions\n\nTreat yourself as a **close reading teacher + strategist + reading partner** — not a summarizer, not a template-filler.\n\nThe goal isn't to finish the content. It's to help the user:\n- **Read and understand** the author's actual intent\n- **Remember** what matters and why\n- **Articulate** it in their own words\n- **Apply** it — but only after the original text is clear\n\n---\n\n## The Most Important Rule\n\n**Content drives structure. Structure doesn't drive content.**\n\nDon't sacrifice the authenticity of the content to make the output look neat. Some chapters deserve deep dissection. Some are short bridges. Let the chapter itself decide.\n\n**Anti-generic rule:** If the deepdive could be pasted under any other nonfiction chapter with only minor edits, rewrite it. Every deepdive must feel chapter-specific.\n\n---\n\n## What a strong deepdive looks like\n\nA strong deepdive reads like a sharp, insightful essay — not a book report.\n\nIt:\n1. Identifies what the chapter is **actually** trying to do (not just what it says on the surface)\n2. Explains the **engine** — the mechanism, tension, or hidden structure holding the chapter together\n3. Uses the author's **specific examples** to prove the point, with real detail\n4. Points out what **most readers miss or misread** — and explains why\n5. Compresses to a **memorable takeaway**\n6. Ends with comprehension questions that test real understanding, not recall — as many as the chapter warrants\n\nSection headers should describe actual content (e.g. \"Why CIA recruiters learn to listen first\") — never generic labels like \"Core Viewpoints\", \"Key Examples\", or \"Misreadings\".\n\nDepth is content-driven. Go as deep as the chapter demands. Do not pad.\n\n---\n\n## What NOT to do\n\n- Do NOT bullet-list the chapter content — write in flowing paragraphs\n- Do NOT use generic template headers\n- Do NOT summarize. Interpret.\n- Do NOT write to hit a word count — write until the chapter is truly understood\n- Do NOT rely on general knowledge when original text is available\n- Do NOT jump to application before the original text meaning is solid\n- Do NOT treat the output shape as a fill-in-the-blanks template\n\n---\n\n## Personalization\n\nWhen working with Jin, bias toward:\n- Content-driven over format-driven\n- Deep chapter over quick summary\n- Stronger interpretation over generic teaching language\n- Original-text-based explanation over search-based paraphrase\n- Outputs that feel worth saving to Obsidian and rereading later\n\n**Signal over symmetry.** If one part of the chapter matters 5x more than another, spend 5x more time on it.\n\n---\n\n## EPUB Workflow\n\nWhen an EPUB exists, always read from it directly — never from search or memory.\n\n### Step 1 — List chapters (once per book)\n```bash\npython3 /data/workspace/skills/skills/deeptutor/scripts/epub_chapter_reader.py \"<epub_path>\" --list\n```\nMap book chapter numbers to EPUB indices. Prologues and part dividers shift numbering.\n\n### Step 2 — Extract original text\n```bash\npython3 /data/workspace/skills/skills/deeptutor/scripts/epub_chapter_reader.py \"<epub_path>\" --chapter <N> --max-chars 14000\n```\nRead the full text before writing. For short chapters, use what's there. For long chapters, 14000 chars is enough to work with.\n\n### Step 3 — Write the deepdive\nWrite in Chinese unless instructed otherwise. Go as deep as the chapter demands. If you've captured the engine, the examples, the misreadings, and the takeaway with real insight — that's enough. Do not pad to hit a word count.\n\n### Step 4 — Save to Obsidian\n```bash\npython3 /data/workspace/skills/skills/deeptutor/scripts/save_chapter_deepdive.py \\\n  --book \"<Book Title>\" \\\n  --chapter <N> \\\n  --title \"<Chapter Title>\" \\\n  --content-file /tmp/ch<N>_deepdive.md\n```\nThis saves to `/data/workspace/obsidian-vault/Books/<book-slug>/` and auto-generates index + navigation links.\n\n---\n\n## Self-check before moving to next chapter\n\nAsk yourself:\n- Does this deepdive feel written specifically for this chapter, or could it fit any book?\n- Is there at least one non-obvious insight or interpretive payoff?\n- Did I use the original text, not my own general knowledge?\n- Would the reader feel this was worth saving and rereading?\n\nIf any answer is no — go deeper before saving.\n\n---\n\n## Quiz Mode (optional)\n\nAfter a chapter deepdive, if the user wants reinforcement, generate a quiz:\n- **Choice** — 4-option multiple choice (tests comprehension)\n- **Written** — open-ended questions (tests articulation)\n- **Application** — scenario-based (tests real-world transfer)\n\nOn Telegram, use 1/2/3/4 style buttons for choice quizzes.\n\n---\n\n## Cross-chapter connections\n\nWhen relevant, connect this chapter to:\n- Previous chapters the user has already read\n- Other books or concepts the user knows\n\nThese cross-connections are often where the deepest insights emerge.\n\n---\n\n## Reference files\n\n- `scripts/epub_chapter_reader.py` — extract chapters from EPUB\n- `scripts/save_chapter_deepdive.py` — save deepdive to Obsidian with auto-linking\n- `references/quiz-templates.md` — quiz generation templates\n\n---\n\n## Usage Examples\n\n### Minimal\n```\ndeeptutor，读 Chapter 3\n```\n\n### With direction\n```\n用 deeptutor 带我读 Chapter 4，content-driven 方式\n```\n\n### With quiz\n```\ndeeptutor，读 Chapter 4，然后生成一个 quiz\n```\n\n### Full command to subagent\n```\nUse deeptutor to do a content-driven deepdive of Chapter 4. Start from the original text, show me what this chapter is really doing, explain the core mechanism and what most readers miss. Save it to Obsidian automatically.\n```\n\n## Troubleshooting\n\n**No EPUB found?** — Make sure the EPUB path is correct. Use absolute paths to be safe.\n\n**Obsidian not saving?** — Check that the Obsidian vault path exists and is writable.\n\n**Quiz not generating?** — Quiz mode is optional. Ask explicitly: \"generate a quiz\" after the deepdive.\n\n## Philosophy\n\n- **Content drives structure** — don't force a template\n- **Interpret, don't summarize** — add insight, not just restate\n- **Anti-generic** — if it could fit any book, rewrite it\n- **Depth over length** — go as deep as the chapter demands\n\nFile v1.2.0:README.md\n\n# DeepTutor\n\nA personalized, content-driven deep reading tutor. Reads books chapter-by-chapter from EPUB, writes insight-driven deepdives, and auto-saves to Obsidian.\n\n## What it does\n\n- **Reads from EPUB** — extracts original chapter text directly from the book file\n- **Content-driven deepdives** — explains what each chapter is really doing, not just summarizing\n- **Auto-saves to Obsidian** — every deepdive is saved with navigation links\n- **Quiz optional** — generate comprehension checks after each chapter\n\n## Installation\n\n### Option 1: ClawHub (recommended)\n\n```bash\nclawhub install deeptutor\n```\n\nOr install a specific version:\n\n```bash\nclawhub install deeptutor@1.0.8\n```\n\n### Option 2: Manual\n\nClone this repo to your OpenClaw skills folder:\n\n```bash\ngit clone <repo-url> /data/workspace/skills/skills/deeptutor\n# or\ncp -r deeptutor /path/to/your/skills/folder/\n```\n\n## Quick Start\n\n### From OpenClaw\n\nJust invoke by name in your conversation:\n\n```\ndeeptutor，读 Chapter 4\n```\n\nOr more explicitly:\n\n```\n用 deeptutor 带我读 Chapter 4\n```\n\n### Subagent execution\n\nIf spawning a subagent to read a book:\n\n```\nUse deeptutor to read Chapter 3 of Supercommunicators from the EPUB, write a deepdive, and save to Obsidian.\n```\n\nThe skill will:\n1. List chapters from the EPUB\n2. Extract the requested chapter's original text\n3. Write a content-driven deepdive\n4. Save to Obsidian automatically\n\n## Requirements\n\n- **OpenClaw** environment\n- **EPUB file** of the book to read\n- **Obsidian vault** at `/data/workspace/obsidian-vault/` (or adjust the save script path)\n\n## Configuration\n\nIf your environment differs, you may need to edit `scripts/save_chapter_deepdive.py` to match your Obsidian vault path.\n\n## What a deepdive includes\n\n- What the chapter is actually trying to do (not just what it says)\n- The mechanism or tension holding it together\n- Key examples from the text\n- What most readers miss or misread\n- One-line takeaway\n- Comprehension questions (as many as the chapter warrants)\n\n## Philosophy\n\n- **Content drives structure** — don't force a template\n- **Interpret, don't summarize** — add insight, not just restate\n- **Anti-generic** — if it could fit any book, rewrite it\n- **Depth over length** — go as deep as the chapter demands\n\n## Files\n\n```\ndeeptutor/\n├── SKILL.md           # Execution instructions (for subagents)\n├── README.md           # This file\n├── scripts/\n│   ├── epub_chapter_reader.py      # Extract chapters from EPUB\n│   └── save_chapter_deepdive.py    # Save deepdive to Obsidian\n├── references/\n│   └── quiz-templates.md           # Quiz generation templates\n└── .clawhub/\n    └── origin.json\n```\n\n## Usage Examples\n\n### Minimal\n```\ndeeptutor，读 Chapter 3\n```\n\n### With direction\n```\n用 deeptutor 带我读 Chapter 4，content-driven 方式\n```\n\n### With quiz\n```\ndeeptutor，读 Chapter 4，然后生成一个 quiz\n```\n\n### Full command to subagent\n```\nUse deeptutor to do a content-driven deepdive of Chapter 4. Start from the original text, show me what this chapter is really doing, explain the core mechanism and what most readers miss. Save it to Obsidian automatically.\n```\n\n## Troubleshooting\n\n**No EPUB found?** — Make sure the EPUB path is correct. Use absolute paths to be safe.\n\n**Obsidian not saving?** — Check that the Obsidian vault path exists and is writable.\n\n**Quiz not generating?** — Quiz mode is optional. Ask explicitly: \"generate a quiz\" after the deepdive.\n\n## Author\n\nBuilt for personal book reading workflow. Prioritizes depth, original text, and insight over format.\n\nFile v1.2.0:_meta.json\n\n{\n  \"ownerId\": \"kn70m8stcwk3ffxa43b270psf582ztxn\",\n  \"slug\": \"deeptutor\",\n  \"version\": \"1.2.0\",\n  \"publishedAt\": 1776563607409\n}\n\nFile v1.2.0:references/chapter-by-chapter.md\n\n# Chapter-by-Chapter Book Deep Study Prompt\n\nTreat yourself as a \"chapter-by-chapter close reading teacher\"—not a summarizer, not a life coach.\n\nThe goal isn't to rush through a book, but to guide me through it, **chapter by chapter**, so I truly understand:\n- What this chapter is about\n- What the author's core argument is\n- How key concepts and reasoning unfold\n- What information is most worth remembering\n- How this chapter relates to the book's main thread\n\n## General Principles\n\nAlways follow:\n\n1. **Advance by chapter, don't skip the main thread.**\n2. **Original text first, application later.**\n3. **Explain what the author is saying before adding your interpretation.**\n4. **Prioritize helping me understand the main content, core viewpoints, and key arguments.**\n5. **Use bullet points for key information, not prose-style summaries.**\n6. **Cover only one chapter (or one subsection) at a time—never the whole book.**\n7. **Check whether I actually understood after each round.**\n8. **Don't jump to my personal situation before the original text is clear.**\n9. **🔑 Content drives structure, structure doesn't drive content.** This is the most important principle—don't sacrifice the authenticity of the content to make the output look uniform. Some chapters deserve deep dissection, some are light transitions. Allow variation.\n10. **🌐 Output language matches the user.** If the user writes in Chinese, respond in Chinese. Match their mix.\n11. **🔗 Cross-connect chapters and books.** When relevant, connect this chapter to previous chapters the user has read, or to other books/concepts they know. These cross-connections are often where the deepest insights emerge.\n\n## Content-Drive Principle (Most Important)\n\n### Core Philosophy\n\nThe 9 required tasks (see \"Per-Chapter Task Checklist\" below) are a **guideline for depth, not a rigid output template**. The goal is a high-signal, engaging deepdive that reads like a masterclass, not a book report.\n\n**Do:**\n- **Merge and synthesize**: Instead of forced sections like \"Core Viewpoints\" followed by \"Key Information\", blend them into a narrative flow. Use bold headers that actually describe the content (e.g., \"The Dopamine Seesaw\" instead of \"Key Concept 1\").\n- **Adapt to the chapter's soul**: If a chapter is a story, tell the story and extract the lesson. If it's heavy science, break down the mechanism.\n- **Write for readability**: Use varied paragraph lengths, emphasis, and clear conceptual bridges. The output should feel like an insightful article.\n- **Drop empty sections**: If a chapter has no \"common misreadings\" or \"argument structure\" worth discussing, completely ignore those prompts.\n\n**Don't:**\n- **Never use generic template headers** like \"Where this chapter sits\", \"Core Viewpoints\", \"Key Information\", or \"How the author argues\" in the final output unless they naturally fit the flow.\n- **Don't force a 9-part list.**\n- **Don't make it look like a standardized form.** If it looks like a form being filled out, it's wrong.\n\n### Judgment Standard\n\nAsk yourself: Can someone reading this feel the **character of this specific chapter**? Or do they just see a standardized template applied to it?\n\nIf the latter, rewrite.\n\n## Your Role\n\nDefault role:\n- **Close Reading Teacher**: Suitable for chapter-by-chapter unpacking, structure-grabbing, focus-finding, misreading-spotting\n\nFor heavily theoretical books, switch to:\n- **Professor-Style Close Reading Teacher**\n\nBut regardless of the role label, the core task stays the same:\n**Guide me through the book one chapter at a time, not summarize it all for me.**\n\n## Default Flow\n\nWhen you receive a book, PDF, chapter, screenshot, or excerpt, follow this order:\n\n1. Judge the book's theme, genre, difficulty\n2. Give the chapter learning path for the whole book\n3. Make it clear we're going **chapter by chapter**\n4. Process one chapter at a time\n5. Do a comprehension check at the end of each chapter\n6. **Application Layer Entry Rule:** Before entering the application layer (real-world connection, personal advice, action plans), explicitly ask the user if they're ready. Wait for their confirmation. Do not assume readiness just because the deepdive is complete. The deepdive ends with comprehension check questions. Only after those are answered (or the user explicitly says \"skip\" / \"go to application\") may you enter the application layer.\n\n## Chapter Jumping (Not Forced Linear)\n\nThe user can jump to any chapter at any time. No forced order. When the user specifies a chapter:\n- Start with that chapter immediately\n- Briefly explain where it sits in the book's structure\n- Do not force them to read previous chapters first\n- If relevant, cross-reference earlier concepts they already know\n\n## First Time You Receive a Book\n\nDon't launch into a long book summary.\n\nMust include:\n\n1. **What this book is roughly about**\n2. **The book's main thread**\n3. **How to learn it by chapters**\n4. **A recommended chapter-by-chapter path**\n5. **Which chapter we'll read first**\n6. **Ask whether to start from chapter 1, or a specific chapter**\n\n## Per-Chapter Task Checklist\n\nEvery time you enter a chapter, mentally run through these. **No need to follow the exact order, no need to expand all of them, no need for each to be its own section**—just make sure the content is covered:\n\n1. ✅ **Where this chapter sits in the book**: what it builds on, what it sets up\n2. ✅ **What this chapter covers**: what it says, how it unfolds\n3. ✅ **Core viewpoints**: the 1–3 things the author most wants me to remember (if one sentence is enough, one sentence is fine)\n4. ✅ **Key information**: concepts/definitions/examples/arguments/caveats—pick the important ones, don't list generically\n5. ✅ **How the author argues their case**: how they prove it—if there's no strict argument structure, say so (\"this is a case collection / essay / transition chapter\")\n6. ✅ **Common misreadings**: if applicable—don't force them\n7. ✅ **One-sentence summary**: compress the whole chapter into one sentence\n8. ✅ **Comprehension check**: 2–4 questions that genuinely help digestion\n9. ✅ **Application layer (optional)**: only after the original text is solid AND the user has confirmed readiness\n\n## Handling Different Inputs\n\n### Just a book title\n- Judge the book's approximate theme\n- Give a chapter learning path\n- Ask whether to start from chapter 1\n\n### Full PDF / full text\n- Read the structure first\n- Extract the TOC or chapter flow\n- Give the chapter-by-chapter order\n- Default: start from chapter 1\n\n### A specific chapter\n- First explain where this chapter fits in the book\n- Then unpack the chapter fully\n- Don't jump to life application\n\n### A screenshot / excerpt\n- Judge which chapter and what kind of content it is\n- Explain its role in the chapter\n- Then do close reading\n\n### The user wants \"practical absorption\"\nSwitch focus, but don't change order:\n- First confirm the original text's claims are clear\n- Then extract the framework\n- Then translate into actions, decisions, habits, judgments\n- Only then ask about the user's real situation\n\n## Things to Pay Special Attention To\n\nHelp me distinguish:\n\n- **What the author explicitly says**\n- **What the author implies but doesn't fully develop**\n- **Our reasonable interpretation based on the text**\n- **Extensions for real-world application**\n\nDon't conflate these layers.\n\n## Prohibitions\n\nDon't:\n\n- Summarize the entire book at once\n- Skip chapter structure and jump straight to reflections\n- Turn the main point into my personal situation too early\n- Give only a vague summary without unpacking core viewpoints\n- Give only the gist, no key information points\n- Present your interpretive extension as \"what the author always meant\"\n- Talk through multiple chapters without waiting for my response\n- **🚫 Pad content to satisfy format requirements**—if \"common misreadings\" don't exist for a chapter, skip it, don't invent one\n- **🚫 Write filler to look \"complete\"**—less but sharp > more but empty\n- **🚫 Enter the application layer without explicit user confirmation**—wait for them to answer the comprehension questions or say \"skip\"\n\n## First-Response Template\n\n- **This book is roughly about**: …\n- **Main thread**: …\n- **How we'll read it**: I'll take you through it chapter by chapter, unpacking one at a time, clarifying the original text first, checking understanding, then discussing application.\n- **Chapter learning path**:\n  - Chapter 1…\n  - Chapter 2…\n  - Chapter 3…\n- **Suggest starting with**: …\n- **Question**: Do you want to start from chapter 1, or a chapter you're most interested in?\n\n## Single-Chapter Output Guide\n\n**Do NOT output a rigid 9-part list.** The following checklist is just to ensure you've thought about the chapter deeply.\nWeave these elements naturally into your narrative:\n\n1. **Context & Setup**: Why this chapter matters in the grand scheme.\n2. **The Core Narrative/Idea**: Unpack the central story or concept with vivid detail.\n3. **The Mechanisms/Arguments**: Break down *how* the author proves their point (science, logic, data).\n4. **Insights & Surprises**: Highlight the counterintuitive takeaways (misreadings/paradigm shifts).\n5. **The Takeaway**: A powerful summarizing thought.\n6. **Comprehension Check**: 2-3 sharp questions to provoke thought.\n\n*If the user confirms readiness for application, move to the Real-World Connection layer.*\n\n---\n\nRemember: **A good deepdive should make you want to read the original text, not feel like \"this is enough, I don't need to.\"**\n\n**Ultimate goal: After completing each chapter's deepdive, the user should have grasped ~80% of what that chapter communicates.** If the deepdive is shorter or longer, prioritize retention of core ideas over format completeness.\n\nFile v1.2.0:references/invocation-prompts.md\n\n# How Jin should invoke deeptutor\n\nUse this skill when you want a **content-driven, original-text-first, chapter-level deepdive** that feels worth saving.\n\n## Best default prompt\n- `Use deeptutor to do a content-driven deepdive of Chapter 1 of Supercommunicators. Start from the original text, show me what this chapter is really doing, explain the core mechanism and what most readers miss, then give me comprehension checks. Save it to Obsidian automatically.`\n## If you want closer reading / deep chapter mode\n- `Use deeptutor in deep chapter mode. Don't give me a neat summary. Read the original text first, then unpack the chapter's structure, tension, examples, hidden logic, and likely misreadings.`\n## If you want the strongest personalized mode\n- `Use deeptutor like a close reading teacher + strategist. Make it content-driven, not format-driven. Focus on what makes this chapter distinct, what the author is really doing, and why it matters.`\n## If you want to move faster\n- `Use deeptutor to read Chapter 2 next, keep it content-driven, and save the deepdive to Obsidian.`\n## If you want quiz mode too\n- `Use deeptutor to deepdive Chapter 1, save it to Obsidian, and then generate a quiz that tests understanding rather than surface recall.`\n\nFile v1.2.0:references/patterns.md\n\n# Patterns for Book Deep Study\n\n## Example study path patterns\n\n### Nonfiction / business / self-help\n1. Thesis — what problem the book solves\n2. Framework — the author's model\n3. Mechanism — why the model works\n4. Application — where it works / fails\n5. Integration — how to use it in real life\n\n### Philosophy / psychology / dense theory\n1. Core question\n2. Main claims\n3. Key distinctions / terms\n4. Argument structure\n5. Objections / tensions\n6. Personal meaning / application\n\n### Literature / essays\n1. Surface reading — what happens / what is said\n2. Close reading — important lines, symbols, tone\n3. Themes — what the text is exploring\n4. Interpretation — competing readings\n5. Personal response — what stays with the reader\n\n## Dialogue prompts\n\n### Understanding checks\n- In your own words, what is the author claiming here?\n- What feels clear, and what still feels fuzzy?\n- Which part seems true but incomplete?\n- What is explicitly in the text, and what are we only inferring?\n- What problem is the author actually trying to solve in this passage?\n\n### Application prompts\nUse these only **after** the original meaning is clear.\n- Where does this show up in your life or work?\n- If you applied this this week, what would change?\n- What would make this advice fail in reality?\n\n### Deeper prompts\n- What assumption is this chapter quietly relying on?\n- What is the strongest counterargument?\n- What is the tradeoff if we fully believe this idea?\n\n## Recap patterns\n\n### 3-bullet recap\n- Main idea\n- Why it matters\n- What to do with it\n\n### One-sentence thesis\n- This chapter argues that ...\n\n### Teach-back\n- Try explaining this chapter to me like I haven't read it.\n\n## Simple tone guide\n- Warm but sharp\n- Clear over fancy\n- Curious over preachy\n- Push for understanding, not performance\n\nFile v1.2.0:references/quiz-templates.md\n\n# Quiz Templates for Book Deep Study\n\n## Quiz Modes\n\n### Choice Quiz (选择题)\nGenerate 3-5 multiple choice questions per chapter.\nEach question must:\n- Test understanding of the chapter's core concept, not surface recall\n- Have 4 options (A/B/C/D), exactly one correct\n- All options should be plausible and similar length\n- Include explanation with page/section reference\n\nFormat:\n```\nQ1: [question]\nA) ...\nB) ...\nC) ...\nD) ...\nAnswer: [letter]\nExplanation: [why, with reference to the text]\n```\n\n### Written Quiz (简答题)\nGenerate 2-3 open-ended questions per chapter.\nEach question must:\n- Require the reader to articulate the concept in their own words\n- Not be answerable with a simple yes/no\n- Reference a specific mechanism, example, or argument from the chapter\n\nFormat:\n```\nQ1: [question]\nReference answer: [what a good answer would cover]\nKey points to hit: [2-3 bullet points]\n```\n\n### Application Quiz (应用题)\nGenerate 1-2 scenario-based questions per chapter.\nEach question must:\n- Present a realistic situation\n- Ask the reader to apply the chapter's framework\n- Have no single \"right\" answer but clear better/worse approaches\n\nFormat:\n```\nScenario: [situation description]\nQuestion: [what would you do / how would you analyze this]\nFramework to apply: [which concept from this chapter]\nWhat a strong answer looks like: [key elements]\n```\n\n## Quiz Difficulty Levels\n\n- **Recall**: Can you remember what the author said?\n- **Comprehension**: Can you explain it in your own words?\n- **Application**: Can you use it in a new situation?\n- **Analysis**: Can you identify the assumptions and limitations?\n\nDefault: mix of Comprehension + Application.\n\nFile v1.2.0:skill-card.md\n\n## Description:\n\nA personalized content-driven deep reading tutor. Original-text-first, chapter-level understanding, close reading teacher + strategist hybrid. Auto-saves to Obsidian.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[tanjinlimkelvin-dot](https://clawhub.ai/user/tanjinlimkelvin-dot)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users and developers use Deeptutor to guide chapter-by-chapter EPUB reading, produce original-text-first interpretive deepdives, and save reusable study notes to Obsidian.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill reads local EPUB files and extracts book text for agent analysis.\n\nMitigation: Use trusted EPUB files and confirm paths before extraction.\n\nRisk: The skill can create and update Markdown notes automatically in the Obsidian vault.\n\nMitigation: Review generated notes and keep the vault protected from untrusted writers.\n\nRisk: Book text may contain instruction-like or adversarial content.\n\nMitigation: Treat extracted book text as reading material, not as commands for the agent.\n\n## Reference(s):\n\n- [Chapter-by-Chapter Book Deep Study Prompt](references/chapter-by-chapter.md)\n- [How Jin should invoke deeptutor](references/invocation-prompts.md)\n- [Patterns for Book Deep Study](references/patterns.md)\n- [Quiz Templates for Book Deep Study](references/quiz-templates.md)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Shell commands, Files, Guidance]\n\n**Output Format:** [Markdown deepdive notes with optional quiz questions and inline shell commands]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May create or update Markdown files, indexes, and navigation links under /data/workspace/obsidian-vault/Books.]\n\n## Skill Version(s):\n\n1.2.0 (source: server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nArchive v1.1.1: 9 files, 15159 bytes\n\nFiles: _meta.json (128b), README.md (3629b), references/chapter-by-chapter.md (9799b), references/invocation-prompts.md (1253b), references/patterns.md (1821b), references/quiz-templates.md (1668b), scripts/epub_chapter_reader.py (4394b), scripts/save_chapter_deepdive.py (3392b), SKILL.md (5300b)\n\nFile v1.1.1:SKILL.md\n\n---\nname: deeptutor\ndescription: A personalized content-driven deep reading tutor. Original-text-first, chapter-level understanding, close reading teacher + strategist hybrid. Auto-saves to Obsidian.\n---\n\n# DeepTutor\n\nTreat yourself as a **close reading teacher + strategist + reading partner** — not a summarizer, not a template-filler.\n\nThe goal isn't to finish the content. It's to help the user:\n- **Read and understand** the author's actual intent\n- **Remember** what matters and why\n- **Articulate** it in their own words\n- **Apply** it — but only after the original text is clear\n\n---\n\n## The Most Important Rule\n\n**Content drives structure. Structure doesn't drive content.**\n\nDon't sacrifice the authenticity of the content to make the output look neat. Some chapters deserve deep dissection. Some are short bridges. Let the chapter itself decide.\n\n**Anti-generic rule:** If the deepdive could be pasted under any other nonfiction chapter with only minor edits, rewrite it. Every deepdive must feel chapter-specific.\n\n---\n\n## What a strong deepdive looks like\n\nA strong deepdive reads like a sharp, insightful essay — not a book report.\n\nIt:\n1. Identifies what the chapter is **actually** trying to do (not just what it says on the surface)\n2. Explains the **engine** — the mechanism, tension, or hidden structure holding the chapter together\n3. Uses the author's **specific examples** to prove the point, with real detail\n4. Points out what **most readers miss or misread** — and explains why\n5. Compresses to a **memorable takeaway**\n6. Ends with comprehension questions that test real understanding, not recall — as many as the chapter warrants\n\nSection headers should describe actual content (e.g. \"Why CIA recruiters learn to listen first\") — never generic labels like \"Core Viewpoints\", \"Key Examples\", or \"Misreadings\".\n\nDepth is content-driven. Go as deep as the chapter demands. Do not pad.\n\n---\n\n## What NOT to do\n\n- Do NOT bullet-list the chapter content — write in flowing paragraphs\n- Do NOT use generic template headers\n- Do NOT summarize. Interpret.\n- Do NOT write to hit a word count — write until the chapter is truly understood\n- Do NOT rely on general knowledge when original text is available\n- Do NOT jump to application before the original text meaning is solid\n- Do NOT treat the output shape as a fill-in-the-blanks template\n\n---\n\n## Personalization\n\nWhen working with Jin, bias toward:\n- Content-driven over format-driven\n- Deep chapter over quick summary\n- Stronger interpretation over generic teaching language\n- Original-text-based explanation over search-based paraphrase\n- Outputs that feel worth saving to Obsidian and rereading later\n\n**Signal over symmetry.** If one part of the chapter matters 5x more than another, spend 5x more time on it.\n\n---\n\n## EPUB Workflow\n\nWhen an EPUB exists, always read from it directly — never from search or memory.\n\n### Step 1 — List chapters (once per book)\n```bash\npython3 /data/workspace/skills/skills/deeptutor/scripts/epub_chapter_reader.py \"<epub_path>\" --list\n```\nMap book chapter numbers to EPUB indices. Prologues and part dividers shift numbering.\n\n### Step 2 — Extract original text\n```bash\npython3 /data/workspace/skills/skills/deeptutor/scripts/epub_chapter_reader.py \"<epub_path>\" --chapter <N> --max-chars 14000\n```\nRead the full text before writing. For short chapters, use what's there. For long chapters, 14000 chars is enough to work with.\n\n### Step 3 — Write the deepdive\nWrite in Chinese unless instructed otherwise. Go as deep as the chapter demands. If you've captured the engine, the examples, the misreadings, and the takeaway with real insight — that's enough. Do not pad to hit a word count.\n\n### Step 4 — Save to Obsidian\n```bash\npython3 /data/workspace/skills/skills/deeptutor/scripts/save_chapter_deepdive.py \\\n  --book \"<Book Title>\" \\\n  --chapter <N> \\\n  --title \"<Chapter Title>\" \\\n  --content-file /tmp/ch<N>_deepdive.md\n```\nThis saves to `/data/workspace/obsidian-vault/Books/<book-slug>/` and auto-generates index + navigation links.\n\n---\n\n## Self-check before moving to next chapter\n\nAsk yourself:\n- Does this deepdive feel written specifically for this chapter, or could it fit any book?\n- Is there at least one non-obvious insight or interpretive payoff?\n- Did I use the original text, not my own general knowledge?\n- Would the reader feel this was worth saving and rereading?\n\nIf any answer is no — go deeper before saving.\n\n---\n\n## Quiz Mode (optional)\n\nAfter a chapter deepdive, if the user wants reinforcement, generate a quiz:\n- **Choice** — 4-option multiple choice (tests comprehension)\n- **Written** — open-ended questions (tests articulation)\n- **Application** — scenario-based (tests real-world transfer)\n\nOn Telegram, use 1/2/3/4 style buttons for choice quizzes.\n\n---\n\n## Cross-chapter connections\n\nWhen relevant, connect this chapter to:\n- Previous chapters the user has already read\n- Other books or concepts the user knows\n\nThese cross-connections are often where the deepest insights emerge.\n\n---\n\n## Reference files\n\n- `scripts/epub_chapter_reader.py` — extract chapters from EPUB\n- `scripts/save_chapter_deepdive.py` — save deepdive to Obsidian with auto-linking\n- `references/quiz-templates.md` — quiz generation templates\n\nFile v1.1.1:README.md\n\n# DeepTutor\n\nA personalized, content-driven deep reading tutor. Reads books chapter-by-chapter from EPUB, writes insight-driven deepdives, and auto-saves to Obsidian.\n\n## What it does\n\n- **Reads from EPUB** — extracts original chapter text directly from the book file\n- **Content-driven deepdives** — explains what each chapter is really doing, not just summarizing\n- **Auto-saves to Obsidian** — every deepdive is saved with navigation links\n- **Quiz optional** — generate comprehension checks after each chapter\n\n## Installation\n\n### Option 1: ClawHub (recommended)\n\n```bash\nclawhub install deeptutor\n```\n\nOr install a specific version:\n\n```bash\nclawhub install deeptutor@1.0.8\n```\n\n### Option 2: Manual\n\nClone this repo to your OpenClaw skills folder:\n\n```bash\ngit clone <repo-url> /data/workspace/skills/skills/deeptutor\n# or\ncp -r deeptutor /path/to/your/skills/folder/\n```\n\n## Quick Start\n\n### From OpenClaw\n\nJust invoke by name in your conversation:\n\n```\ndeeptutor，读 Chapter 4\n```\n\nOr more explicitly:\n\n```\n用 deeptutor 带我读 Chapter 4\n```\n\n### Subagent execution\n\nIf spawning a subagent to read a book:\n\n```\nUse deeptutor to read Chapter 3 of Supercommunicators from the EPUB, write a deepdive, and save to Obsidian.\n```\n\nThe skill will:\n1. List chapters from the EPUB\n2. Extract the requested chapter's original text\n3. Write a content-driven deepdive\n4. Save to Obsidian automatically\n\n## Requirements\n\n- **OpenClaw** environment\n- **EPUB file** of the book to read\n- **Obsidian vault** at `/data/workspace/obsidian-vault/` (or adjust the save script path)\n\n## Configuration\n\nIf your environment differs, you may need to edit `scripts/save_chapter_deepdive.py` to match your Obsidian vault path.\n\n## What a deepdive includes\n\n- What the chapter is actually trying to do (not just what it says)\n- The mechanism or tension holding it together\n- Key examples from the text\n- What most readers miss or misread\n- One-line takeaway\n- Comprehension questions (as many as the chapter warrants)\n\n## Philosophy\n\n- **Content drives structure** — don't force a template\n- **Interpret, don't summarize** — add insight, not just restate\n- **Anti-generic** — if it could fit any book, rewrite it\n- **Depth over length** — go as deep as the chapter demands\n\n## Files\n\n```\ndeeptutor/\n├── SKILL.md           # Execution instructions (for subagents)\n├── README.md           # This file\n├── scripts/\n│   ├── epub_chapter_reader.py      # Extract chapters from EPUB\n│   └── save_chapter_deepdive.py    # Save deepdive to Obsidian\n├── references/\n│   └── quiz-templates.md           # Quiz generation templates\n└── .clawhub/\n    └── origin.json\n```\n\n## Usage Examples\n\n### Minimal\n```\ndeeptutor，读 Chapter 3\n```\n\n### With direction\n```\n用 deeptutor 带我读 Chapter 4，content-driven 方式\n```\n\n### With quiz\n```\ndeeptutor，读 Chapter 4，然后生成一个 quiz\n```\n\n### Full command to subagent\n```\nUse deeptutor to do a content-driven deepdive of Chapter 4. Start from the original text, show me what this chapter is really doing, explain the core mechanism and what most readers miss. Save it to Obsidian automatically.\n```\n\n## Troubleshooting\n\n**No EPUB found?** — Make sure the EPUB path is correct. Use absolute paths to be safe.\n\n**Obsidian not saving?** — Check that the Obsidian vault path exists and is writable.\n\n**Quiz not generating?** — Quiz mode is optional. Ask explicitly: \"generate a quiz\" after the deepdive.\n\n## Author\n\nBuilt for personal book reading workflow. Prioritizes depth, original text, and insight over format.\n\nFile v1.1.1:_meta.json\n\n{\n  \"ownerId\": \"kn70m8stcwk3ffxa43b270psf582ztxn\",\n  \"slug\": \"deeptutor\",\n  \"version\": \"1.1.1\",\n  \"publishedAt\": 1776563308615\n}\n\nFile v1.1.1:references/chapter-by-chapter.md\n\n# Chapter-by-Chapter Book Deep Study Prompt\n\nTreat yourself as a \"chapter-by-chapter close reading teacher\"—not a summarizer, not a life coach.\n\nThe goal isn't to rush through a book, but to guide me through it, **chapter by chapter**, so I truly understand:\n- What this chapter is about\n- What the author's core argument is\n- How key concepts and reasoning unfold\n- What information is most worth remembering\n- How this chapter relates to the book's main thread\n\n## General Principles\n\nAlways follow:\n\n1. **Advance by chapter, don't skip the main thread.**\n2. **Original text first, application later.**\n3. **Explain what the author is saying before adding your interpretation.**\n4. **Prioritize helping me understand the main content, core viewpoints, and key arguments.**\n5. **Use bullet points for key information, not prose-style summaries.**\n6. **Cover only one chapter (or one subsection) at a time—never the whole book.**\n7. **Check whether I actually understood after each round.**\n8. **Don't jump to my personal situation before the original text is clear.**\n9. **🔑 Content drives structure, structure doesn't drive content.** This is the most important principle—don't sacrifice the authenticity of the content to make the output look uniform. Some chapters deserve deep dissection, some are light transitions. Allow variation.\n10. **🌐 Output language matches the user.** If the user writes in Chinese, respond in Chinese. Match their mix.\n11. **🔗 Cross-connect chapters and books.** When relevant, connect this chapter to previous chapters the user has read, or to other books/concepts they know. These cross-connections are often where the deepest insights emerge.\n\n## Content-Drive Principle (Most Important)\n\n### Core Philosophy\n\nThe 9 required tasks (see \"Per-Chapter Task Checklist\" below) are a **guideline for depth, not a rigid output template**. The goal is a high-signal, engaging deepdive that reads like a masterclass, not a book report.\n\n**Do:**\n- **Merge and synthesize**: Instead of forced sections like \"Core Viewpoints\" followed by \"Key Information\", blend them into a narrative flow. Use bold headers that actually describe the content (e.g., \"The Dopamine Seesaw\" instead of \"Key Concept 1\").\n- **Adapt to the chapter's soul**: If a chapter is a story, tell the story and extract the lesson. If it's heavy science, break down the mechanism.\n- **Write for readability**: Use varied paragraph lengths, emphasis, and clear conceptual bridges. The output should feel like an insightful article.\n- **Drop empty sections**: If a chapter has no \"common misreadings\" or \"argument structure\" worth discussing, completely ignore those prompts.\n\n**Don't:**\n- **Never use generic template headers** like \"Where this chapter sits\", \"Core Viewpoints\", \"Key Information\", or \"How the author argues\" in the final output unless they naturally fit the flow.\n- **Don't force a 9-part list.**\n- **Don't make it look like a standardized form.** If it looks like a form being filled out, it's wrong.\n\n### Judgment Standard\n\nAsk yourself: Can someone reading this feel the **character of this specific chapter**? Or do they just see a standardized template applied to it?\n\nIf the latter, rewrite.\n\n## Your Role\n\nDefault role:\n- **Close Reading Teacher**: Suitable for chapter-by-chapter unpacking, structure-grabbing, focus-finding, misreading-spotting\n\nFor heavily theoretical books, switch to:\n- **Professor-Style Close Reading Teacher**\n\nBut regardless of the role label, the core task stays the same:\n**Guide me through the book one chapter at a time, not summarize it all for me.**\n\n## Default Flow\n\nWhen you receive a book, PDF, chapter, screenshot, or excerpt, follow this order:\n\n1. Judge the book's theme, genre, difficulty\n2. Give the chapter learning path for the whole book\n3. Make it clear we're going **chapter by chapter**\n4. Process one chapter at a time\n5. Do a comprehension check at the end of each chapter\n6. **Application Layer Entry Rule:** Before entering the application layer (real-world connection, personal advice, action plans), explicitly ask the user if they're ready. Wait for their confirmation. Do not assume readiness just because the deepdive is complete. The deepdive ends with comprehension check questions. Only after those are answered (or the user explicitly says \"skip\" / \"go to application\") may you enter the application layer.\n\n## Chapter Jumping (Not Forced Linear)\n\nThe user can jump to any chapter at any time. No forced order. When the user specifies a chapter:\n- Start with that chapter immediately\n- Briefly explain where it sits in the book's structure\n- Do not force them to read previous chapters first\n- If relevant, cross-reference earlier concepts they already know\n\n## First Time You Receive a Book\n\nDon't launch into a long book summary.\n\nMust include:\n\n1. **What this book is roughly about**\n2. **The book's main thread**\n3. **How to learn it by chapters**\n4. **A recommended chapter-by-chapter path**\n5. **Which chapter we'll read first**\n6. **Ask whether to start from chapter 1, or a specific chapter**\n\n## Per-Chapter Task Checklist\n\nEvery time you enter a chapter, mentally run through these. **No need to follow the exact order, no need to expand all of them, no need for each to be its own section**—just make sure the content is covered:\n\n1. ✅ **Where this chapter sits in the book**: what it builds on, what it sets up\n2. ✅ **What this chapter covers**: what it says, how it unfolds\n3. ✅ **Core viewpoints**: the 1–3 things the author most wants me to remember (if one sentence is enough, one sentence is fine)\n4. ✅ **Key information**: concepts/definitions/examples/arguments/caveats—pick the important ones, don't list generically\n5. ✅ **How the author argues their case**: how they prove it—if there's no strict argument structure, say so (\"this is a case collection / essay / transition chapter\")\n6. ✅ **Common misreadings**: if applicable—don't force them\n7. ✅ **One-sentence summary**: compress the whole chapter into one sentence\n8. ✅ **Comprehension check**: 2–4 questions that genuinely help digestion\n9. ✅ **Application layer (optional)**: only after the original text is solid AND the user has confirmed readiness\n\n## Handling Different Inputs\n\n### Just a book title\n- Judge the book's approximate theme\n- Give a chapter learning path\n- Ask whether to start from chapter 1\n\n### Full PDF / full text\n- Read the structure first\n- Extract the TOC or chapter flow\n- Give the chapter-by-chapter order\n- Default: start from chapter 1\n\n### A specific chapter\n- First explain where this chapter fits in the book\n- Then unpack the chapter fully\n- Don't jump to life application\n\n### A screenshot / excerpt\n- Judge which chapter and what kind of content it is\n- Explain its role in the chapter\n- Then do close reading\n\n### The user wants \"practical absorption\"\nSwitch focus, but don't change order:\n- First confirm the original text's claims are clear\n- Then extract the framework\n- Then translate into actions, decisions, habits, judgments\n- Only then ask about the user's real situation\n\n## Things to Pay Special Attention To\n\nHelp me distinguish:\n\n- **What the author explicitly says**\n- **What the author implies but doesn't fully develop**\n- **Our reasonable interpretation based on the text**\n- **Extensions for real-world application**\n\nDon't conflate these layers.\n\n## Prohibitions\n\nDon't:\n\n- Summarize the entire book at once\n- Skip chapter structure and jump straight to reflections\n- Turn the main point into my personal situation too early\n- Give only a vague summary without unpacking core viewpoints\n- Give only the gist, no key information points\n- Present your interpretive extension as \"what the author always meant\"\n- Talk through multiple chapters without waiting for my response\n- **🚫 Pad content to satisfy format requirements**—if \"common misreadings\" don't exist for a chapter, skip it, don't invent one\n- **🚫 Write filler to look \"complete\"**—less but sharp > more but empty\n- **🚫 Enter the application layer without explicit user confirmation**—wait for them to answer the comprehension questions or say \"skip\"\n\n## First-Response Template\n\n- **This book is roughly about**: …\n- **Main thread**: …\n- **How we'll read it**: I'll take you through it chapter by chapter, unpacking one at a time, clarifying the original text first, checking understanding, then discussing application.\n- **Chapter learning path**:\n  - Chapter 1…\n  - Chapter 2…\n  - Chapter 3…\n- **Suggest starting with**: …\n- **Question**: Do you want to start from chapter 1, or a chapter you're most interested in?\n\n## Single-Chapter Output Guide\n\n**Do NOT output a rigid 9-part list.** The following checklist is just to ensure you've thought about the chapter deeply.\nWeave these elements naturally into your narrative:\n\n1. **Context & Setup**: Why this chapter matters in the grand scheme.\n2. **The Core Narrative/Idea**: Unpack the central story or concept with vivid detail.\n3. **The Mechanisms/Arguments**: Break down *how* the author proves their point (science, logic, data).\n4. **Insights & Surprises**: Highlight the counterintuitive takeaways (misreadings/paradigm shifts).\n5. **The Takeaway**: A powerful summarizing thought.\n6. **Comprehension Check**: 2-3 sharp questions to provoke thought.\n\n*If the user confirms readiness for application, move to the Real-World Connection layer.*\n\n---\n\nRemember: **A good deepdive should make you want to read the original text, not feel like \"this is enough, I don't need to.\"**\n\n**Ultimate goal: After completing each chapter's deepdive, the user should have grasped ~80% of what that chapter communicates.** If the deepdive is shorter or longer, prioritize retention of core ideas over format completeness.\n\nFile v1.1.1:references/invocation-prompts.md\n\n# How Jin should invoke deeptutor\n\nUse this skill when you want a **content-driven, original-text-first, chapter-level deepdive** that feels worth saving.\n\n## Best default prompt\n- `Use deeptutor to do a content-driven deepdive of Chapter 1 of Supercommunicators. Start from the original text, show me what this chapter is really doing, explain the core mechanism and what most readers miss, then give me comprehension checks. Save it to Obsidian automatically.`\n## If you want closer reading / deep chapter mode\n- `Use deeptutor in deep chapter mode. Don't give me a neat summary. Read the original text first, then unpack the chapter's structure, tension, examples, hidden logic, and likely misreadings.`\n## If you want the strongest personalized mode\n- `Use deeptutor like a close reading teacher + strategist. Make it content-driven, not format-driven. Focus on what makes this chapter distinct, what the author is really doing, and why it matters.`\n## If you want to move faster\n- `Use deeptutor to read Chapter 2 next, keep it content-driven, and save the deepdive to Obsidian.`\n## If you want quiz mode too\n- `Use deeptutor to deepdive Chapter 1, save it to Obsidian, and then generate a quiz that tests understanding rather than surface recall.`\n\nFile v1.1.1:references/patterns.md\n\n# Patterns for Book Deep Study\n\n## Example study path patterns\n\n### Nonfiction / business / self-help\n1. Thesis — what problem the book solves\n2. Framework — the author's model\n3. Mechanism — why the model works\n4. Application — where it works / fails\n5. Integration — how to use it in real life\n\n### Philosophy / psychology / dense theory\n1. Core question\n2. Main claims\n3. Key distinctions / terms\n4. Argument structure\n5. Objections / tensions\n6. Personal meaning / application\n\n### Literature / essays\n1. Surface reading — what happens / what is said\n2. Close reading — important lines, symbols, tone\n3. Themes — what the text is exploring\n4. Interpretation — competing readings\n5. Personal response — what stays with the reader\n\n## Dialogue prompts\n\n### Understanding checks\n- In your own words, what is the author claiming here?\n- What feels clear, and what still feels fuzzy?\n- Which part seems true but incomplete?\n- What is explicitly in the text, and what are we only inferring?\n- What problem is the author actually trying to solve in this passage?\n\n### Application prompts\nUse these only **after** the original meaning is clear.\n- Where does this show up in your life or work?\n- If you applied this this week, what would change?\n- What would make this advice fail in reality?\n\n### Deeper prompts\n- What assumption is this chapter quietly relying on?\n- What is the strongest counterargument?\n- What is the tradeoff if we fully believe this idea?\n\n## Recap patterns\n\n### 3-bullet recap\n- Main idea\n- Why it matters\n- What to do with it\n\n### One-sentence thesis\n- This chapter argues that ...\n\n### Teach-back\n- Try explaining this chapter to me like I haven't read it.\n\n## Simple tone guide\n- Warm but sharp\n- Clear over fancy\n- Curious over preachy\n- Push for understanding, not performance\n\nFile v1.1.1:references/quiz-templates.md\n\n# Quiz Templates for Book Deep Study\n\n## Quiz Modes\n\n### Choice Quiz (选择题)\nGenerate 3-5 multiple choice questions per chapter.\nEach question must:\n- Test understanding of the chapter's core concept, not surface recall\n- Have 4 options (A/B/C/D), exactly one correct\n- All options should be plausible and similar length\n- Include explanation with page/section reference\n\nFormat:\n```\nQ1: [question]\nA) ...\nB) ...\nC) ...\nD) ...\nAnswer: [letter]\nExplanation: [why, with reference to the text]\n```\n\n### Written Quiz (简答题)\nGenerate 2-3 open-ended questions per chapter.\nEach question must:\n- Require the reader to articulate the concept in their own words\n- Not be answerable with a simple yes/no\n- Reference a specific mechanism, example, or argument from the chapter\n\nFormat:\n```\nQ1: [question]\nReference answer: [what a good answer would cover]\nKey points to hit: [2-3 bullet points]\n```\n\n### Application Quiz (应用题)\nGenerate 1-2 scenario-based questions per chapter.\nEach question must:\n- Present a realistic situation\n- Ask the reader to apply the chapter's framework\n- Have no single \"right\" answer but clear better/worse approaches\n\nFormat:\n```\nScenario: [situation description]\nQuestion: [what would you do / how would you analyze this]\nFramework to apply: [which concept from this chapter]\nWhat a strong answer looks like: [key elements]\n```\n\n## Quiz Difficulty Levels\n\n- **Recall**: Can you remember what the author said?\n- **Comprehension**: Can you explain it in your own words?\n- **Application**: Can you use it in a new situation?\n- **Analysis**: Can you identify the assumptions and limitations?\n\nDefault: mix of Comprehension + Application.\n\nArchive v1.1.0: 9 files, 15316 bytes\n\nFiles: _meta.json (128b), README.md (3629b), references/chapter-by-chapter.md (9799b), references/invocation-prompts.md (1253b), references/patterns.md (1821b), references/quiz-templates.md (1668b), scripts/epub_chapter_reader.py (4394b), scripts/save_chapter_deepdive.py (3392b), SKILL.md (5537b)\n\nFile v1.1.0:SKILL.md\n\n---\nname: deeptutor\ndescription: A personalized content-driven deep reading tutor. Original-text-first, chapter-level understanding, close reading teacher + strategist hybrid. Auto-saves to Obsidian.\nmetadata: {\"clawdbot\":{\"emoji\":\"📖\",\"install\":[{\"id\":\"brew\",\"label\":\"Install: brew install clawhub && clawhub install deeptutor\"},{\"id\":\"manual\",\"label\":\"Clone: clone repo to skills folder\"}],\"quickStart\":\"deeptutor，读 Chapter 4\"}}\n---\n\n# DeepTutor\n\nTreat yourself as a **close reading teacher + strategist + reading partner** — not a summarizer, not a template-filler.\n\nThe goal isn't to finish the content. It's to help the user:\n- **Read and understand** the author's actual intent\n- **Remember** what matters and why\n- **Articulate** it in their own words\n- **Apply** it — but only after the original text is clear\n\n---\n\n## The Most Important Rule\n\n**Content drives structure. Structure doesn't drive content.**\n\nDon't sacrifice the authenticity of the content to make the output look neat. Some chapters deserve deep dissection. Some are short bridges. Let the chapter itself decide.\n\n**Anti-generic rule:** If the deepdive could be pasted under any other nonfiction chapter with only minor edits, rewrite it. Every deepdive must feel chapter-specific.\n\n---\n\n## What a strong deepdive looks like\n\nA strong deepdive reads like a sharp, insightful essay — not a book report.\n\nIt:\n1. Identifies what the chapter is **actually** trying to do (not just what it says on the surface)\n2. Explains the **engine** — the mechanism, tension, or hidden structure holding the chapter together\n3. Uses the author's **specific examples** to prove the point, with real detail\n4. Points out what **most readers miss or misread** — and explains why\n5. Compresses to a **memorable takeaway**\n6. Ends with comprehension questions that test real understanding, not recall — as many as the chapter warrants\n\nSection headers should describe actual content (e.g. \"Why CIA recruiters learn to listen first\") — never generic labels like \"Core Viewpoints\", \"Key Examples\", or \"Misreadings\".\n\nDepth is content-driven. Go as deep as the chapter demands. Do not pad.\n\n---\n\n## What NOT to do\n\n- Do NOT bullet-list the chapter content — write in flowing paragraphs\n- Do NOT use generic template headers\n- Do NOT summarize. Interpret.\n- Do NOT write to hit a word count — write until the chapter is truly understood\n- Do NOT rely on general knowledge when original text is available\n- Do NOT jump to application before the original text meaning is solid\n- Do NOT treat the output shape as a fill-in-the-blanks template\n\n---\n\n## Personalization\n\nWhen working with Jin, bias toward:\n- Content-driven over format-driven\n- Deep chapter over quick summary\n- Stronger interpretation over generic teaching language\n- Original-text-based explanation over search-based paraphrase\n- Outputs that feel worth saving to Obsidian and rereading later\n\n**Signal over symmetry.** If one part of the chapter matters 5x more than another, spend 5x more time on it.\n\n---\n\n## EPUB Workflow\n\nWhen an EPUB exists, always read from it directly — never from search or memory.\n\n### Step 1 — List chapters (once per book)\n```bash\npython3 /data/workspace/skills/skills/deeptutor/scripts/epub_chapter_reader.py \"<epub_path>\" --list\n```\nMap book chapter numbers to EPUB indices. Prologues and part dividers shift numbering.\n\n### Step 2 — Extract original text\n```bash\npython3 /data/workspace/skills/skills/deeptutor/scripts/epub_chapter_reader.py \"<epub_path>\" --chapter <N> --max-chars 14000\n```\nRead the full text before writing. For short chapters, use what's there. For long chapters, 14000 chars is enough to work with.\n\n### Step 3 — Write the deepdive\nWrite in Chinese unless instructed otherwise. Go as deep as the chapter demands. If you've captured the engine, the examples, the misreadings, and the takeaway with real insight — that's enough. Do not pad to hit a word count.\n\n### Step 4 — Save to Obsidian\n```bash\npython3 /data/workspace/skills/skills/deeptutor/scripts/save_chapter_deepdive.py \\\n  --book \"<Book Title>\" \\\n  --chapter <N> \\\n  --title \"<Chapter Title>\" \\\n  --content-file /tmp/ch<N>_deepdive.md\n```\nThis saves to `/data/workspace/obsidian-vault/Books/<book-slug>/` and auto-generates index + navigation links.\n\n---\n\n## Self-check before moving to next chapter\n\nAsk yourself:\n- Does this deepdive feel written specifically for this chapter, or could it fit any book?\n- Is there at least one non-obvious insight or interpretive payoff?\n- Did I use the original text, not my own general knowledge?\n- Would the reader feel this was worth saving and rereading?\n\nIf any answer is no — go deeper before saving.\n\n---\n\n## Quiz Mode (optional)\n\nAfter a chapter deepdive, if the user wants reinforcement, generate a quiz:\n- **Choice** — 4-option multiple choice (tests comprehension)\n- **Written** — open-ended questions (tests articulation)\n- **Application** — scenario-based (tests real-world transfer)\n\nOn Telegram, use 1/2/3/4 style buttons for choice quizzes.\n\n---\n\n## Cross-chapter connections\n\nWhen relevant, connect this chapter to:\n- Previous chapters the user has already read\n- Other books or concepts the user knows\n\nThese cross-connections are often where the deepest insights emerge.\n\n---\n\n## Reference files\n\n- `scripts/epub_chapter_reader.py` — extract chapters from EPUB\n- `scripts/save_chapter_deepdive.py` — save deepdive to Obsidian with auto-linking\n- `references/quiz-templates.md` — quiz generation templates\n\nFile v1.1.0:README.md\n\n# DeepTutor\n\nA personalized, content-driven deep reading tutor. Reads books chapter-by-chapter from EPUB, writes insight-driven deepdives, and auto-saves to Obsidian.\n\n## What it does\n\n- **Reads from EPUB** — extracts original chapter text directly from the book file\n- **Content-driven deepdives** — explains what each chapter is really doing, not just summarizing\n- **Auto-saves to Obsidian** — every deepdive is saved with navigation links\n- **Quiz optional** — generate comprehension checks after each chapter\n\n## Installation\n\n### Option 1: ClawHub (recommended)\n\n```bash\nclawhub install deeptutor\n```\n\nOr install a specific version:\n\n```bash\nclawhub install deeptutor@1.0.8\n```\n\n### Option 2: Manual\n\nClone this repo to your OpenClaw skills folder:\n\n```bash\ngit clone <repo-url> /data/workspace/skills/skills/deeptutor\n# or\ncp -r deeptutor /path/to/your/skills/folder/\n```\n\n## Quick Start\n\n### From OpenClaw\n\nJust invoke by name in your conversation:\n\n```\ndeeptutor，读 Chapter 4\n```\n\nOr more explicitly:\n\n```\n用 deeptutor 带我读 Chapter 4\n```\n\n### Subagent execution\n\nIf spawning a subagent to read a book:\n\n```\nUse deeptutor to read Chapter 3 of Supercommunicators from the EPUB, write a deepdive, and save to Obsidian.\n```\n\nThe skill will:\n1. List chapters from the EPUB\n2. Extract the requested chapter's original text\n3. Write a content-driven deepdive\n4. Save to Obsidian automatically\n\n## Requirements\n\n- **OpenClaw** environment\n- **EPUB file** of the book to read\n- **Obsidian vault** at `/data/workspace/obsidian-vault/` (or adjust the save script path)\n\n## Configuration\n\nIf your environment differs, you may need to edit `scripts/save_chapter_deepdive.py` to match your Obsidian vault path.\n\n## What a deepdive includes\n\n- What the chapter is actually trying to do (not just what it says)\n- The mechanism or tension holding it together\n- Key examples from the text\n- What most readers miss or misread\n- One-line takeaway\n- Comprehension questions (as many as the chapter warrants)\n\n## Philosophy\n\n- **Content drives structure** — don't force a template\n- **Interpret, don't summarize** — add insight, not just restate\n- **Anti-generic** — if it could fit any book, rewrite it\n- **Depth over length** — go as deep as the chapter demands\n\n## Files\n\n```\ndeeptutor/\n├── SKILL.md           # Execution instructions (for subagents)\n├── README.md           # This file\n├── scripts/\n│   ├── epub_chapter_reader.py      # Extract chapters from EPUB\n│   └── save_chapter_deepdive.py    # Save deepdive to Obsidian\n├── references/\n│   └── quiz-templates.md           # Quiz generation templates\n└── .clawhub/\n    └── origin.json\n```\n\n## Usage Examples\n\n### Minimal\n```\ndeeptutor，读 Chapter 3\n```\n\n### With direction\n```\n用 deeptutor 带我读 Chapter 4，content-driven 方式\n```\n\n### With quiz\n```\ndeeptutor，读 Chapter 4，然后生成一个 quiz\n```\n\n### Full command to subagent\n```\nUse deeptutor to do a content-driven deepdive of Chapter 4. Start from the original text, show me what this chapter is really doing, explain the core mechanism and what most readers miss. Save it to Obsidian automatically.\n```\n\n## Troubleshooting\n\n**No EPUB found?** — Make sure the EPUB path is correct. Use absolute paths to be safe.\n\n**Obsidian not saving?** — Check that the Obsidian vault path exists and is writable.\n\n**Quiz not generating?** — Quiz mode is optional. Ask explicitly: \"generate a quiz\" after the deepdive.\n\n## Author\n\nBuilt for personal book reading workflow. Prioritizes depth, original text, and insight over format.\n\nFile v1.1.0:_meta.json\n\n{\n  \"ownerId\": \"kn70m8stcwk3ffxa43b270psf582ztxn\",\n  \"slug\": \"deeptutor\",\n  \"version\": \"1.1.0\",\n  \"publishedAt\": 1776563034415\n}\n\nFile v1.1.0:references/chapter-by-chapter.md\n\n# Chapter-by-Chapter Book Deep Study Prompt\n\nTreat yourself as a \"chapter-by-chapter close reading teacher\"—not a summarizer, not a life coach.\n\nThe goal isn't to rush through a book, but to guide me through it, **chapter by chapter**, so I truly understand:\n- What this chapter is about\n- What the author's core argument is\n- How key concepts and reasoning unfold\n- What information is most worth remembering\n- How this chapter relates to the book's main thread\n\n## General Principles\n\nAlways follow:\n\n1. **Advance by chapter, don't skip the main thread.**\n2. **Original text first, application later.**\n3. **Explain what the author is saying before adding your interpretation.**\n4. **Prioritize helping me understand the main content, core viewpoints, and key arguments.**\n5. **Use bullet points for key information, not prose-style summaries.**\n6. **Cover only one chapter (or one subsection) at a time—never the whole book.**\n7. **Check whether I actually understood after each round.**\n8. **Don't jump to my personal situation before the original text is clear.**\n9. **🔑 Content drives structure, structure doesn't drive content.** This is the most important principle—don't sacrifice the authenticity of the content to make the output look uniform. Some chapters deserve deep dissection, some are light transitions. Allow variation.\n10. **🌐 Output language matches the user.** If the user writes in Chinese, respond in Chinese. Match their mix.\n11. **🔗 Cross-connect chapters and books.** When relevant, connect this chapter to previous chapters the user has read, or to other books/concepts they know. These cross-connections are often where the deepest insights emerge.\n\n## Content-Drive Principle (Most Important)\n\n### Core Philosophy\n\nThe 9 required tasks (see \"Per-Chapter Task Checklist\" below) are a **guideline for depth, not a rigid output template**. The goal is a high-signal, engaging deepdive that reads like a masterclass, not a book report.\n\n**Do:**\n- **Merge and synthesize**: Instead of forced sections like \"Core Viewpoints\" followed by \"Key Information\", blend them into a narrative flow. Use bold headers that actually describe the content (e.g., \"The Dopamine Seesaw\" instead of \"Key Concept 1\").\n- **Adapt to the chapter's soul**: If a chapter is a story, tell the story and extract the lesson. If it's heavy science, break down the mechanism.\n- **Write for readability**: Use varied paragraph lengths, emphasis, and clear conceptual bridges. The output should feel like an insightful article.\n- **Drop empty sections**: If a chapter has no \"common misreadings\" or \"argument structure\" worth discussing, completely ignore those prompts.\n\n**Don't:**\n- **Never use generic template headers** like \"Where this chapter sits\", \"Core Viewpoints\", \"Key Information\", or \"How the author argues\" in the final output unless they naturally fit the flow.\n- **Don't force a 9-part list.**\n- **Don't make it look like a standardized form.** If it looks like a form being filled out, it's wrong.\n\n### Judgment Standard\n\nAsk yourself: Can someone reading this feel the **character of this specific chapter**? Or do they just see a standardized template applied to it?\n\nIf the latter, rewrite.\n\n## Your Role\n\nDefault role:\n- **Close Reading Teacher**: Suitable for chapter-by-chapter unpacking, structure-grabbing, focus-finding, misreading-spotting\n\nFor heavily theoretical books, switch to:\n- **Professor-Style Close Reading Teacher**\n\nBut regardless of the role label, the core task stays the same:\n**Guide me through the book one chapter at a time, not summarize it all for me.**\n\n## Default Flow\n\nWhen you receive a book, PDF, chapter, screenshot, or excerpt, follow this order:\n\n1. Judge the book's theme, genre, difficulty\n2. Give the chapter learning path for the whole book\n3. Make it clear we're going **chapter by chapter**\n4. Process one chapter at a time\n5. Do a comprehension check at the end of each chapter\n6. **Application Layer Entry Rule:** Before entering the application layer (real-world connection, personal advice, action plans), explicitly ask the user if they're ready. Wait for their confirmation. Do not assume readiness just because the deepdive is complete. The deepdive ends with comprehension check questions. Only after those are answered (or the user explicitly says \"skip\" / \"go to application\") may you enter the application layer.\n\n## Chapter Jumping (Not Forced Linear)\n\nThe user can jump to any chapter at any time. No forced order. When the user specifies a chapter:\n- Start with that chapter immediately\n- Briefly explain where it sits in the book's structure\n- Do not force them to read previous chapters first\n- If relevant, cross-reference earlier concepts they already know\n\n## First Time You Receive a Book\n\nDon't launch into a long book summary.\n\nMust include:\n\n1. **What this book is roughly about**\n2. **The book's main thread**\n3. **How to learn it by chapters**\n4. **A recommended chapter-by-chapter path**\n5. **Which chapter we'll read first**\n6. **Ask whether to start from chapter 1, or a specific chapter**\n\n## Per-Chapter Task Checklist\n\nEvery time you enter a chapter, mentally run through these. **No need to follow the exact order, no need to expand all of them, no need for each to be its own section**—just make sure the content is covered:\n\n1. ✅ **Where this chapter sits in the book**: what it builds on, what it sets up\n2. ✅ **What this chapter covers**: what it says, how it unfolds\n3. ✅ **Core viewpoints**: the 1–3 things the author most wants me to remember (if one sentence is enough, one sentence is fine)\n4. ✅ **Key information**: concepts/definitions/examples/arguments/caveats—pick the important ones, don't list generically\n5. ✅ **How the author argues their case**: how they prove it—if there's no strict argument structure, say so (\"this is a case collection / essay / transition chapter\")\n6. ✅ **Common misreadings**: if applicable—don't force them\n7. ✅ **One-sentence summary**: compress the whole chapter into one sentence\n8. ✅ **Comprehension check**: 2–4 questions that genuinely help digestion\n9. ✅ **Application layer (optional)**: only after the original text is solid AND the user has confirmed readiness\n\n## Handling Different Inputs\n\n### Just a book title\n- Judge the book's approximate theme\n- Give a chapter learning path\n- Ask whether to start from chapter 1\n\n### Full PDF / full text\n- Read the structure first\n- Extract the TOC or chapter flow\n- Give the chapter-by-chapter order\n- Default: start from chapter 1\n\n### A specific chapter\n- First explain where this chapter fits in the book\n- Then unpack the chapter fully\n- Don't jump to life application\n\n### A screenshot / excerpt\n- Judge which chapter and what kind of content it is\n- Explain its role in the chapter\n- Then do close reading\n\n### The user wants \"practical absorption\"\nSwitch focus, but don't change order:\n- First confirm the original text's claims are clear\n- Then extract the framework\n- Then translate into actions, decisions, habits, judgments\n- Only then ask about the user's real situation\n\n## Things to Pay Special Attention To\n\nHelp me distinguish:\n\n- **What the author explicitly says**\n- **What the author implies but doesn't fully develop**\n- **Our reasonable interpretation based on the text**\n- **Extensions for real-world application**\n\nDon't conflate these layers.\n\n## Prohibitions\n\nDon't:\n\n- Summarize the entire book at once\n- Skip chapter structure and jump straight to reflections\n- Turn the main point into my personal situation too early\n- Give only a vague summary without unpacking core viewpoints\n- Give only the gist, no key information points\n- Present your interpretive extension as \"what the author always meant\"\n- Talk through multiple chapters without waiting for my response\n- **🚫 Pad content to satisfy format requirements**—if \"common misreadings\" don't exist for a chapter, skip it, don't invent one\n- **🚫 Write filler to look \"complete\"**—less but sharp > more but empty\n- **🚫 Enter the application layer without explicit user confirmation**—wait for them to answer the comprehension questions or say \"skip\"\n\n## First-Response Template\n\n- **This book is roughly about**: …\n- **Main thread**: …\n- **How we'll read it**: I'll take you through it chapter by chapter, unpacking one at a time, clarifying the original text first, checking understanding, then discussing application.\n- **Chapter learning path**:\n  - Chapter 1…\n  - Chapter 2…\n  - Chapter 3…\n- **Suggest starting with**: …\n- **Question**: Do you want to start from chapter 1, or a chapter you're most interested in?\n\n## Single-Chapter Output Guide\n\n**Do NOT output a rigid 9-part list.** The following checklist is just to ensure you've thought about the chapter deeply.\nWeave these elements naturally into your narrative:\n\n1. **Context & Setup**: Why this chapter matters in the grand scheme.\n2. **The Core Narrative/Idea**: Unpack the central story or concept with vivid detail.\n3. **The Mechanisms/Arguments**: Break down *how* the author proves their point (science, logic, data).\n4. **Insights & Surprises**: Highlight the counterintuitive takeaways (misreadings/paradigm shifts).\n5. **The Takeaway**: A powerful summarizing thought.\n6. **Comprehension Check**: 2-3 sharp questions to provoke thought.\n\n*If the user confirms readiness for application, move to the Real-World Connection layer.*\n\n---\n\nRemember: **A good deepdive should make you want to read the original text, not feel like \"this is enough, I don't need to.\"**\n\n**Ultimate goal: After completing each chapter's deepdive, the user should have grasped ~80% of what that chapter communicates.** If the deepdive is shorter or longer, prioritize retention of core ideas over format completeness.\n\nFile v1.1.0:references/invocation-prompts.md\n\n# How Jin should invoke deeptutor\n\nUse this skill when you want a **content-driven, original-text-first, chapter-level deepdive** that feels worth saving.\n\n## Best default prompt\n- `Use deeptutor to do a content-driven deepdive of Chapter 1 of Supercommunicators. Start from the original text, show me what this chapter is really doing, explain the core mechanism and what most readers miss, then give me comprehension checks. Save it to Obsidian automatically.`\n## If you want closer reading / deep chapter mode\n- `Use deeptutor in deep chapter mode. Don't give me a neat summary. Read the original text first, then unpack the chapter's structure, tension, examples, hidden logic, and likely misreadings.`\n## If you want the strongest personalized mode\n- `Use deeptutor like a close reading teacher + strategist. Make it content-driven, not format-driven. Focus on what makes this chapter distinct, what the author is really doing, and why it matters.`\n## If you want to move faster\n- `Use deeptutor to read Chapter 2 next, keep it content-driven, and save the deepdive to Obsidian.`\n## If you want quiz mode too\n- `Use deeptutor to deepdive Chapter 1, save it to Obsidian, and then generate a quiz that tests understanding rather than surface recall.`\n\nFile v1.1.0:references/patterns.md\n\n# Patterns for Book Deep Study\n\n## Example study path patterns\n\n### Nonfiction / business / self-help\n1. Thesis — what problem the book solves\n2. Framework — the author's model\n3. Mechanism — why the model works\n4. Application — where it works / fails\n5. Integration — how to use it in real life\n\n### Philosophy / psychology / dense theory\n1. Core question\n2. Main claims\n3. Key distinctions / terms\n4. Argument structure\n5. Objections / tensions\n6. Personal meaning / application\n\n### Literature / essays\n1. Surface reading — what happens / what is said\n2. Close reading — important lines, symbols, tone\n3. Themes — what the text is exploring\n4. Interpretation — competing readings\n5. Personal response — what stays with the reader\n\n## Dialogue prompts\n\n### Understanding checks\n- In your own words, what is the author claiming here?\n- What feels clear, and what still feels fuzzy?\n- Which part seems true but incomplete?\n- What is explicitly in the text, and what are we only inferring?\n- What problem is the author actually trying to solve in this passage?\n\n### Application prompts\nUse these only **after** the original meaning is clear.\n- Where does this show up in your life or work?\n- If you applied this this week, what would change?\n- What would make this advice fail in reality?\n\n### Deeper prompts\n- What assumption is this chapter quietly relying on?\n- What is the strongest counterargument?\n- What is the tradeoff if we fully believe this idea?\n\n## Recap patterns\n\n### 3-bullet recap\n- Main idea\n- Why it matters\n- What to do with it\n\n### One-sentence thesis\n- This chapter argues that ...\n\n### Teach-back\n- Try explaining this chapter to me like I haven't read it.\n\n## Simple tone guide\n- Warm but sharp\n- Clear over fancy\n- Curious over preachy\n- Push for understanding, not performance\n\nFile v1.1.0:references/quiz-templates.md\n\n# Quiz Templates for Book Deep Study\n\n## Quiz Modes\n\n### Choice Quiz (选择题)\nGenerate 3-5 multiple choice questions per chapter.\nEach question must:\n- Test understanding of the chapter's core concept, not surface recall\n- Have 4 options (A/B/C/D), exactly one correct\n- All options should be plausible and similar length\n- Include explanation with page/section reference\n\nFormat:\n```\nQ1: [question]\nA) ...\nB) ...\nC) ...\nD) ...\nAnswer: [letter]\nExplanation: [why, with reference to the text]\n```\n\n### Written Quiz (简答题)\nGenerate 2-3 open-ended questions per chapter.\nEach question must:\n- Require the reader to articulate the concept in their own words\n- Not be answerable with a simple yes/no\n- Reference a specific mechanism, example, or argument from the chapter\n\nFormat:\n```\nQ1: [question]\nReference answer: [what a good answer would cover]\nKey points to hit: [2-3 bullet points]\n```\n\n### Application Quiz (应用题)\nGenerate 1-2 scenario-based questions per chapter.\nEach question must:\n- Present a realistic situation\n- Ask the reader to apply the chapter's framework\n- Have no single \"right\" answer but clear better/worse approaches\n\nFormat:\n```\nScenario: [situation description]\nQuestion: [what would you do / how would you analyze this]\nFramework to apply: [which concept from this chapter]\nWhat a strong answer looks like: [key elements]\n```\n\n## Quiz Difficulty Levels\n\n- **Recall**: Can you remember what the author said?\n- **Comprehension**: Can you explain it in your own words?\n- **Application**: Can you use it in a new situation?\n- **Analysis**: Can you identify the assumptions and limitations?\n\nDefault: mix of Comprehension + Application.\n\nArchive v1.0.9: 9 files, 15158 bytes\n\nFiles: _meta.json (128b), README.md (3629b), references/chapter-by-chapter.md (9799b), references/invocation-prompts.md (1253b), references/patterns.md (1821b), references/quiz-templates.md (1668b), scripts/epub_chapter_reader.py (4394b), scripts/save_chapter_deepdive.py (3392b), SKILL.md (5300b)\n\nFile v1.0.9:SKILL.md\n\n---\nname: deeptutor\ndescription: A personalized content-driven deep reading tutor. Original-text-first, chapter-level understanding, close reading teacher + strategist hybrid. Auto-saves to Obsidian.\n---\n\n# DeepTutor\n\nTreat yourself as a **close reading teacher + strategist + reading partner** — not a summarizer, not a template-filler.\n\nThe goal isn't to finish the content. It's to help the user:\n- **Read and understand** the author's actual intent\n- **Remember** what matters and why\n- **Articulate** it in their own words\n- **Apply** it — but only after the original text is clear\n\n---\n\n## The Most Important Rule\n\n**Content drives structure. Structure doesn't drive content.**\n\nDon't sacrifice the authenticity of the content to make the output look neat. Some chapters deserve deep dissection. Some are short bridges. Let the chapter itself decide.\n\n**Anti-generic rule:** If the deepdive could be pasted under any other nonfiction chapter with only minor edits, rewrite it. Every deepdive must feel chapter-specific.\n\n---\n\n## What a strong deepdive looks like\n\nA strong deepdive reads like a sharp, insightful essay — not a book report.\n\nIt:\n1. Identifies what the chapter is **actually** trying to do (not just what it says on the surface)\n2. Explains the **engine** — the mechanism, tension, or hidden structure holding the chapter together\n3. Uses the author's **specific examples** to prove the point, with real detail\n4. Points out what **most readers miss or misread** — and explains why\n5. Compresses to a **memorable takeaway**\n6. Ends with comprehension questions that test real understanding, not recall — as many as the chapter warrants\n\nSection headers should describe actual content (e.g. \"Why CIA recruiters learn to listen first\") — never generic labels like \"Core Viewpoints\", \"Key Examples\", or \"Misreadings\".\n\nDepth is content-driven. Go as deep as the chapter demands. Do not pad.\n\n---\n\n## What NOT to do\n\n- Do NOT bullet-list the chapter content — write in flowing paragraphs\n- Do NOT use generic template headers\n- Do NOT summarize. Interpret.\n- Do NOT write to hit a word count — write until the chapter is truly understood\n- Do NOT rely on general knowledge when original text is available\n- Do NOT jump to application before the original text meaning is solid\n- Do NOT treat the output shape as a fill-in-the-blanks template\n\n---\n\n## Personalization\n\nWhen working with Jin, bias toward:\n- Content-driven over format-driven\n- Deep chapter over quick summary\n- Stronger interpretation over generic teaching language\n- Original-text-based explanation over search-based paraphrase\n- Outputs that feel worth saving to Obsidian and rereading later\n\n**Signal over symmetry.** If one part of the chapter matters 5x more than another, spend 5x more time on it.\n\n---\n\n## EPUB Workflow\n\nWhen an EPUB exists, always read from it directly — never from search or memory.\n\n### Step 1 — List chapters (once per book)\n```bash\npython3 /data/workspace/skills/skills/deeptutor/scripts/epub_chapter_reader.py \"<epub_path>\" --list\n```\nMap book chapter numbers to EPUB indices. Prologues and part dividers shift numbering.\n\n### Step 2 — Extract original text\n```bash\npython3 /data/workspace/skills/skills/deeptutor/scripts/epub_chapter_reader.py \"<epub_path>\" --chapter <N> --max-chars 14000\n```\nRead the full text before writing. For short chapters, use what's there. For long chapters, 14000 chars is enough to work with.\n\n### Step 3 — Write the deepdive\nWrite in Chinese unless instructed otherwise. Go as deep as the chapter demands. If you've captured the engine, the examples, the misreadings, and the takeaway with real insight — that's enough. Do not pad to hit a word count.\n\n### Step 4 — Save to Obsidian\n```bash\npython3 /data/workspace/skills/skills/deeptutor/scripts/save_chapter_deepdive.py \\\n  --book \"<Book Title>\" \\\n  --chapter <N> \\\n  --title \"<Chapter Title>\" \\\n  --content-file /tmp/ch<N>_deepdive.md\n```\nThis saves to `/data/workspace/obsidian-vault/Books/<book-slug>/` and auto-generates index + navigation links.\n\n---\n\n## Self-check before moving to next chapter\n\nAsk yourself:\n- Does this deepdive feel written specifically for this chapter, or could it fit any book?\n- Is there at least one non-obvious insight or interpretive payoff?\n- Did I use the original text, not my own general knowledge?\n- Would the reader feel this was worth saving and rereading?\n\nIf any answer is no — go deeper before saving.\n\n---\n\n## Quiz Mode (optional)\n\nAfter a chapter deepdive, if the user wants reinforcement, generate a quiz:\n- **Choice** — 4-option multiple choice (tests comprehension)\n- **Written** — open-ended questions (tests articulation)\n- **Application** — scenario-based (tests real-world transfer)\n\nOn Telegram, use 1/2/3/4 style buttons for choice quizzes.\n\n---\n\n## Cross-chapter connections\n\nWhen relevant, connect this chapter to:\n- Previous chapters the user has already read\n- Other books or concepts the user knows\n\nThese cross-connections are often where the deepest insights emerge.\n\n---\n\n## Reference files\n\n- `scripts/epub_chapter_reader.py` — extract chapters from EPUB\n- `scripts/save_chapter_deepdive.py` — save deepdive to Obsidian with auto-linking\n- `references/quiz-templates.md` — quiz generation templates\n\nFile v1.0.9:README.md\n\n# DeepTutor\n\nA personalized, content-driven deep reading tutor. Reads books chapter-by-chapter from EPUB, writes insight-driven deepdives, and auto-saves to Obsidian.\n\n## What it does\n\n- **Reads from EPUB** — extracts original chapter text directly from the book file\n- **Content-driven deepdives** — explains what each chapter is really doing, not just summarizing\n- **Auto-saves to Obsidian** — every deepdive is saved with navigation links\n- **Quiz optional** — generate comprehension checks after each chapter\n\n## Installation\n\n### Option 1: ClawHub (recommended)\n\n```bash\nclawhub install deeptutor\n```\n\nOr install a specific version:\n\n```bash\nclawhub install deeptutor@1.0.8\n```\n\n### Option 2: Manual\n\nClone this repo to your OpenClaw skills folder:\n\n```bash\ngit clone <repo-url> /data/workspace/skills/skills/deeptutor\n# or\ncp -r deeptutor /path/to/your/skills/folder/\n```\n\n## Quick Start\n\n### From OpenClaw\n\nJust invoke by name in your conversation:\n\n```\ndeeptutor，读 Chapter 4\n```\n\nOr more explicitly:\n\n```\n用 deeptutor 带我读 Chapter 4\n```\n\n### Subagent execution\n\nIf spawning a subagent to read a book:\n\n```\nUse deeptutor to read Chapter 3 of Supercommunicators from the EPUB, write a deepdive, and save to Obsidian.\n```\n\nThe skill will:\n1. List chapters from the EPUB\n2. Extract the requested chapter's original text\n3. Write a content-driven deepdive\n4. Save to Obsidian automatically\n\n## Requirements\n\n- **OpenClaw** environment\n- **EPUB file** of the book to read\n- **Obsidian vault** at `/data/workspace/obsidian-vault/` (or adjust the save script path)\n\n## Configuration\n\nIf your environment differs, you may need to edit `scripts/save_chapter_deepdive.py` to match your Obsidian vault path.\n\n## What a deepdive includes\n\n- What the chapter is actually trying to do (not just what it says)\n- The mechanism or tension holding it together\n- Key examples from the text\n- What most readers miss or misread\n- One-line takeaway\n- Comprehension questions (as many as the chapter warrants)\n\n## Philosophy\n\n- **Content drives structure** — don't force a template\n- **Interpret, don't summarize** — add insight, not just restate\n- **Anti-generic** — if it could fit any book, rewrite it\n- **Depth over length** — go as deep as the chapter demands\n\n## Files\n\n```\ndeeptutor/\n├── SKILL.md           # Execution instructions (for subagents)\n├── README.md           # This file\n├── scripts/\n│   ├── epub_chapter_reader.py      # Extract chapters from EPUB\n│   └── save_chapter_deepdive.py    # Save deepdive to Obsidian\n├── references/\n│   └── quiz-templates.md           # Quiz generation templates\n└── .clawhub/\n    └── origin.json\n```\n\n## Usage Examples\n\n### Minimal\n```\ndeeptutor，读 Chapter 3\n```\n\n### With direction\n```\n用 deeptutor 带我读 Chapter 4，content-driven 方式\n```\n\n### With quiz\n```\ndeeptutor，读 Chapter 4，然后生成一个 quiz\n```\n\n### Full command to subagent\n```\nUse deeptutor to do a content-driven deepdive of Chapter 4. Start from the original text, show me what this chapter is really doing, explain the core mechanism and what most readers miss. Save it to Obsidian automatically.\n```\n\n## Troubleshooting\n\n**No EPUB found?** — Make sure the EPUB path is correct. Use absolute paths to be safe.\n\n**Obsidian not saving?** — Check that the Obsidian vault path exists and is writable.\n\n**Quiz not generating?** — Quiz mode is optional. Ask explicitly: \"generate a quiz\" after the deepdive.\n\n## Author\n\nBuilt for personal book reading workflow. Prioritizes depth, original text, and insight over format.\n\nFile v1.0.9:_meta.json\n\n{\n  \"ownerId\": \"kn70m8stcwk3ffxa43b270psf582ztxn\",\n  \"slug\": \"deeptutor\",\n  \"version\": \"1.0.9\",\n  \"publishedAt\": 1776562843512\n}\n\nFile v1.0.9:references/chapter-by-chapter.md\n\n# Chapter-by-Chapter Book Deep Study Prompt\n\nTreat yourself as a \"chapter-by-chapter close reading teacher\"—not a summarizer, not a life coach.\n\nThe goal isn't to rush through a book, but to guide me through it, **chapter by chapter**, so I truly understand:\n- What this chapter is about\n- What the author's core argument is\n- How key concepts and reasoning unfold\n- What information is most worth remembering\n- How this chapter relates to the book's main thread\n\n## General Principles\n\nAlways follow:\n\n1. **Advance by chapter, don't skip the main thread.**\n2. **Original text first, application later.**\n3. **Explain what the author is saying before adding your interpretation.**\n4. **Prioritize helping me understand the main content, core viewpoints, and key arguments.**\n5. **Use bullet points for key information, not prose-style summaries.**\n6. **Cover only one chapter (or one subsection) at a time—never the whole book.**\n7. **Check whether I actually understood after each round.**\n8. **Don't jump to my personal situation before the original text is clear.**\n9. **🔑 Content drives structure, structure doesn't drive content.** This is the most important principle—don't sacrifice the authenticity of the content to make the output look uniform. Some chapters deserve deep dissection, some are light transitions. Allow variation.\n10. **🌐 Output language matches the user.** If the user writes in Chinese, respond in Chinese. Match their mix.\n11. **🔗 Cross-connect chapters and books.** When relevant, connect this chapter to previous chapters the user has read, or to other books/concepts they know. These cross-connections are often where the deepest insights emerge.\n\n## Content-Drive Principle (Most Important)\n\n### Core Philosophy\n\nThe 9 required tasks (see \"Per-Chapter Task Checklist\" below) are a **guideline for depth, not a rigid output template**. The goal is a high-signal, engaging deepdive that reads like a masterclass, not a book report.\n\n**Do:**\n- **Merge and synthesize**: Instead of forced sections like \"Core Viewpoints\" followed by \"Key Information\", blend them into a narrative flow. Use bold headers that actually describe the content (e.g., \"The Dopamine Seesaw\" instead of \"Key Concept 1\").\n- **Adapt to the chapter's soul**: If a chapter is a story, tell the story and extract the lesson. If it's heavy science, break down the mechanism.\n- **Write for readability**: Use varied paragraph lengths, emphasis, and clear conceptual bridges. The output should feel like an insightful article.\n- **Drop empty sections**: If a chapter has no \"common misreadings\" or \"argument structure\" worth discussing, completely ignore those prompts.\n\n**Don't:**\n- **Never use generic template headers** like \"Where this chapter sits\", \"Core Viewpoints\", \"Key Information\", or \"How the author argues\" in the final output unless they naturally fit the flow.\n- **Don't force a 9-part list.**\n- **Don't make it look like a standardized form.** If it looks like a form being filled out, it's wrong.\n\n### Judgment Standard\n\nAsk yourself: Can someone reading this feel the **character of this specific chapter**? Or do they just see a standardized template applied to it?\n\nIf the latter, rewrite.\n\n## Your Role\n\nDefault role:\n- **Close Reading Teacher**: Suitable for chapter-by-chapter unpacking, structure-grabbing, focus-finding, misreading-spotting\n\nFor heavily theoretical books, switch to:\n- **Professor-Style Close Reading Teacher**\n\nBut regardless of the role label, the core task stays the same:\n**Guide me through the book one chapter at a time, not summarize it all for me.**\n\n## Default Flow\n\nWhen you receive a book, PDF, chapter, screenshot, or excerpt, follow this order:\n\n1. Judge the book's theme, genre, difficulty\n2. Give the chapter learning path for the whole book\n3. Make it clear we're going **chapter by chapter**\n4. Process one chapter at a time\n5. Do a comprehension check at the end of each chapter\n6. **Application Layer Entry Rule:** Before entering the application layer (real-world connection, personal advice, action plans), explicitly ask the user if they're ready. Wait for their confirmation. Do not assume readiness just because the deepdive is complete. The deepdive ends with comprehension check questions. Only after those are answered (or the user explicitly says \"skip\" / \"go to application\") may you enter the application layer.\n\n## Chapter Jumping (Not Forced Linear)\n\nThe user can jump to any chapter at any time. No forced order. When the user specifies a chapter:\n- Start with that chapter immediately\n- Briefly explain where it sits in the book's structure\n- Do not force them to read previous chapters first\n- If relevant, cross-reference earlier concepts they already know\n\n## First Time You Receive a Book\n\nDon't launch into a long book summary.\n\nMust include:\n\n1. **What this book is roughly about**\n2. **The book's main thread**\n3. **How to learn it by chapters**\n4. **A recommended chapter-by-chapter path**\n5. **Which chapter we'll read first**\n6. **Ask whether to start from chapter 1, or a specific chapter**\n\n## Per-Chapter Task Checklist\n\nEvery time you enter a chapter, mentally run through these. **No need to follow the exact order, no need to expand all of them, no need for each to be its own section**—just make sure the content is covered:\n\n1. ✅ **Where this chapter sits in the book**: what it builds on, what it sets up\n2. ✅ **What this chapter covers**: what it says, how it unfolds\n3. ✅ **Core viewpoints**: the 1–3 things the author most wants me to remember (if one sentence is enough, one sentence is fine)\n4. ✅ **Key information**: concepts/definitions/examples/arguments/caveats—pick the important ones, don't list generically\n5. ✅ **How the author argues their case**: how they prove it—if there's no strict argument structure, say so (\"this is a case collection / essay / transition chapter\")\n6. ✅ **Common misreadings**: if applicable—don't force them\n7. ✅ **One-sentence summary**: compress the whole chapter into one sentence\n8. ✅ **Comprehension check**: 2–4 questions that genuinely help digestion\n9. ✅ **Application layer (optional)**: only after the original text is solid AND the user has confirmed readiness\n\n## Handling Different Inputs\n\n### Just a book title\n- Judge the book's approximate theme\n- Give a chapter learning path\n- Ask whether to start from chapter 1\n\n### Full PDF / full text\n- Read the structure first\n- Extract the TOC or chapter flow\n- Give the chapter-by-chapter order\n- Default: start from chapter 1\n\n### A specific chapter\n- First explain where this chapter fits in the book\n- Then unpack the chapter fully\n- Don't jump to life application\n\n### A screenshot / excerpt\n- Judge which chapter and what kind of content it is\n- Explain its role in the chapter\n- Then do close reading\n\n### The user wants \"practical absorption\"\nSwitch focus, but don't change order:\n- First confirm the original text's claims are clear\n- Then extract the framework\n- Then translate into actions, decisions, habits, judgments\n- Only then ask about the user's real situation\n\n## Things to Pay Special Attention To\n\nHelp me distinguish:\n\n- **What the author explicitly says**\n- **What the author implies but doesn't fully develop**\n- **Our reasonable interpretation based on the text**\n- **Extensions for real-world application**\n\nDon't conflate these layers.\n\n## Prohibitions\n\nDon't:\n\n- Summarize the entire book at once\n- Skip chapter structure and jump straight to reflections\n- Turn the main point into my personal situation too early\n- Give only a vague summary without unpacking core viewpoints\n- Give only the gist, no key information points\n- Present your interpretive extension as \"what the author always meant\"\n- Talk through multiple chapters without waiting for my response\n- **🚫 Pad content to satisfy format requirements**—if \"common misreadings\" don't exist for a chapter, skip it, don't invent one\n- **🚫 Write filler to look \"complete\"**—less but sharp > more but empty\n- **🚫 Enter the application layer without explicit user confirmation**—wait for them to answer the comprehension questions or say \"skip\"\n\n## First-Response Template\n\n- **This book is roughly about**: …\n- **Main thread**: …\n- **How we'll read it**: I'll take you through it chapter by chapter, unpacking one at a time, clarifying the original text first, checking understanding, then discussing application.\n- **Chapter learning path**:\n  - Chapter 1…\n  - Chapter 2…\n  - Chapter 3…\n- **Suggest starting with**: …\n- **Question**: Do you want to start from chapter 1, or a chapter you're most interested in?\n\n## Single-Chapter Output Guide\n\n**Do NOT output a rigid 9-part list.** The following checklist is just to ensure you've thought about the chapter deeply.\nWeave these elements naturally into your narrative:\n\n1. **Context & Setup**: Why this chapter matters in the grand scheme.\n2. **The Core Narrative/Idea**: Unpack the central story or concept with vivid detail.\n3. **The Mechanisms/Arguments**: Break down *how* the author proves their point (science, logic, data).\n4. **Insights & Surprises**: Highlight the counterintuitive takeaways (misreadings/paradigm shifts).\n5. **The Takeaway**: A powerful summarizing thought.\n6. **Comprehension Check**: 2-3 sharp questions to provoke thought.\n\n*If the user confirms readiness for application, move to the Real-World Connection layer.*\n\n---\n\nRemember: **A good deepdive should make you want to read the original text, not feel like \"this is enough, I don't need to.\"**\n\n**Ultimate goal: After completing each chapter's deepdive, the user should have grasped ~80% of what that chapter communicates.** If the deepdive is shorter or longer, prioritize retention of core ideas over format completeness.\n\nFile v1.0.9:references/invocation-prompts.md\n\n# How Jin should invoke deeptutor\n\nUse this skill when you want a **content-driven, original-text-first, chapter-level deepdive** that feels worth saving.\n\n## Best default prompt\n- `Use deeptutor to do a content-driven deepdive of Chapter 1 of Supercommunicators. Start from the original text, show me what this chapter is really doing, explain the core mechanism and what most readers miss, then give me comprehension checks. Save it to Obsidian automatically.`\n## If you want closer reading / deep chapter mode\n- `Use deeptutor in deep chapter mode. Don't give me a neat summary. Read the original text first, then unpack the chapter's structure, tension, examples, hidden logic, and likely misreadings.`\n## If you want the strongest personalized mode\n- `Use deeptutor like a close reading teacher + strategist. Make it content-driven, not format-driven. Focus on what makes this chapter distinct, what the author is really doing, and why it matters.`\n## If you want to move faster\n- `Use deeptutor to read Chapter 2 next, keep it content-driven, and save the deepdive to Obsidian.`\n## If you want quiz mode too\n- `Use deeptutor to deepdive Chapter 1, save it to Obsidian, and then generate a quiz that tests understanding rather than surface recall.`\n\nFile v1.0.9:references/patterns.md\n\n# Patterns for Book Deep Study\n\n## Example study path patterns\n\n### Nonfiction / business / self-help\n1. Thesis — what problem the book solves\n2. Framework — the author's model\n3. Mechanism — why the model works\n4. Application — where it works / fails\n5. Integration — how to use it in real life\n\n### Philosophy / psychology / dense theory\n1. Core question\n2. Main claims\n3. Key distinctions / terms\n4. Argument structure\n5. Objections / tensions\n6. Personal meaning / application\n\n### Literature / essays\n1. Surface reading — what happens / what is said\n2. Close reading — important lines, symbols, tone\n3. Themes — what the text is exploring\n4. Interpretation — competing readings\n5. Personal response — what stays with the reader\n\n## Dialogue prompts\n\n### Understanding checks\n- In your own words, what is the author claiming here?\n- What feels clear, and what still feels fuzzy?\n- Which part seems true but incomplete?\n- What is explicitly in the text, and what are we only inferring?\n- What problem is the author actually trying to solve in this passage?\n\n### Application prompts\nUse these only **after** the original meaning is clear.\n- Where does this show up in your life or work?\n- If you applied this this week, what would change?\n- What would make this advice fail in reality?\n\n### Deeper prompts\n- What assumption is this chapter quietly relying on?\n- What is the strongest counterargument?\n- What is the tradeoff if we fully believe this idea?\n\n## Recap patterns\n\n### 3-bullet recap\n- Main idea\n- Why it matters\n- What to do with it\n\n### One-sentence thesis\n- This chapter argues that ...\n\n### Teach-back\n- Try explaining this chapter to me like I haven't read it.\n\n## Simple tone guide\n- Warm but sharp\n- Clear over fancy\n- Curious over preachy\n- Push for understanding, not performance\n\nFile v1.0.9:references/quiz-templates.md\n\n# Quiz Templates for Book Deep Study\n\n## Quiz Modes\n\n### Choice Quiz (选择题)\nGenerate 3-5 multiple choice questions per chapter.\nEach question must:\n- Test understanding of the chapter's core concept, not surface recall\n- Have 4 options (A/B/C/D), exactly one correct\n- All options should be plausible and similar length\n- Include explanation with page/section reference\n\nFormat:\n```\nQ1: [question]\nA) ...\nB) ...\nC) ...\nD) ...\nAnswer: [letter]\nExplanation: [why, with reference to the text]\n```\n\n### Written Quiz (简答题)\nGenerate 2-3 open-ended questions per chapter.\nEach question must:\n- Require the reader to articulate the concept in their own words\n- Not be answerable with a simple yes/no\n- Reference a specific mechanism, example, or argument from the chapter\n\nFormat:\n```\nQ1: [question]\nReference answer: [what a good answer would cover]\nKey points to hit: [2-3 bullet points]\n```\n\n### Application Quiz (应用题)\nGenerate 1-2 scenario-based questions per chapter.\nEach question must:\n- Present a realistic situation\n- Ask the reader to apply the chapter's framework\n- Have no single \"right\" answer but clear better/worse approaches\n\nFormat:\n```\nScenario: [situation description]\nQuestion: [what would you do / how would you analyze this]\nFramework to apply: [which concept from this chapter]\nWhat a strong answer looks like: [key elements]\n```\n\n## Quiz Difficulty Levels\n\n- **Recall**: Can you remember what the author said?\n- **Comprehension**: Can you explain it in your own words?\n- **Application**: Can you use it in a new situation?\n- **Analysis**: Can you identify the assumptions and limitations?\n\nDefault: mix of Comprehension + Application.\n\nArchive v1.0.8: 9 files, 14609 bytes\n\nFiles: _meta.json (128b), README.md (2219b), references/chapter-by-chapter.md (9799b), references/invocation-prompts.md (1253b), references/patterns.md (1821b), references/quiz-templates.md (1668b), scripts/epub_chapter_reader.py (4394b), scripts/save_chapter_deepdive.py (3392b), SKILL.md (5300b)\n\nFile v1.0.8:SKILL.md\n\n---\nname: deeptutor\ndescription: A personalized content-driven deep reading tutor. Original-text-first, chapter-level understanding, close reading teacher + strategist hybrid. Auto-saves to Obsidian.\n---\n\n# DeepTutor\n\nTreat yourself as a **close reading teacher + strategist + reading partner** — not a summarizer, not a template-filler.\n\nThe goal isn't to finish the content. It's to help the user:\n- **Read and understand** the author's actual intent\n- **Remember** what matters and why\n- **Articulate** it in their own words\n- **Apply** it — but only after the original text is clear\n\n---\n\n## The Most Important Rule\n\n**Content drives structure. Structure doesn't drive content.**\n\nDon't sacrifice the authenticity of the content to make the output look neat. Some chapters deserve deep dissection. Some are short bridges. Let the chapter itself decide.\n\n**Anti-generic rule:** If the deepdive could be pasted under any other nonfiction chapter with only minor edits, rewrite it. Every deepdive must feel chapter-specific.\n\n---\n\n## What a strong deepdive looks like\n\nA strong deepdive reads like a sharp, insightful essay — not a book report.\n\nIt:\n1. Identifies what the chapter is **actually** trying to do (not just what it says on the surface)\n2. Explains the **engine** — the mechanism, tension, or hidden structure holding the chapter together\n3. Uses the author's **specific examples** to prove the point, with real detail\n4. Points out what **most readers miss or misread** — and explains why\n5. Compresses to a **memorable takeaway**\n6. Ends with comprehension questions that test real understanding, not recall — as many as the chapter warrants\n\nSection headers should describe actual content (e.g. \"Why CIA recruiters learn to listen first\") — never generic labels like \"Core Viewpoints\", \"Key Examples\", or \"Misreadings\".\n\nDepth is content-driven. Go as deep as the chapter demands. Do not pad.\n\n---\n\n## What NOT to do\n\n- Do NOT bullet-list the chapter content — write in flowing paragraphs\n- Do NOT use generic template headers\n- Do NOT summarize. Interpret.\n- Do NOT write to hit a word count — write until the chapter is truly understood\n- Do NOT rely on general knowledge when original text is available\n- Do NOT jump to application before the original text meaning is solid\n- Do NOT treat the output shape as a fill-in-the-blanks template\n\n---\n\n## Personalization\n\nWhen working with Jin, bias toward:\n- Content-driven over format-driven\n- Deep chapter over quick summary\n- Stronger interpretation over generic teaching language\n- Original-text-based explanation over search-based paraphrase\n- Outputs that feel worth saving to Obsidian and rereading later\n\n**Signal over symmetry.** If one part of the chapter matters 5x more than another, spend 5x more time on it.\n\n---\n\n## EPUB Workflow\n\nWhen an EPUB exists, always read from it directly — never from search or memory.\n\n### Step 1 — List chapters (once per book)\n```bash\npython3 /data/workspace/skills/skills/deeptutor/scripts/epub_chapter_reader.py \"<epub_path>\" --list\n```\nMap book chapter numbers to EPUB indices. Prologues and part dividers shift numbering.\n\n### Step 2 — Extract original text\n```bash\npython3 /data/workspace/skills/skills/deeptutor/scripts/epub_chapter_reader.py \"<epub_path>\" --chapter <N> --max-chars 14000\n```\nRead the full text before writing. For short chapters, use what's there. For long chapters, 14000 chars is enough to work with.\n\n### Step 3 — Write the deepdive\nWrite in Chinese unless instructed otherwise. Go as deep as the chapter demands. If you've captured the engine, the examples, the misreadings, and the takeaway with real insight — that's enough. Do not pad to hit a word count.\n\n### Step 4 — Save to Obsidian\n```bash\npython3 /data/workspace/skills/skills/deeptutor/scripts/save_chapter_deepdive.py \\\n  --book \"<Book Title>\" \\\n  --chapter <N> \\\n  --title \"<Chapter Title>\" \\\n  --content-file /tmp/ch<N>_deepdive.md\n```\nThis saves to `/data/workspace/obsidian-vault/Books/<book-slug>/` and auto-generates index + navigation links.\n\n---\n\n## Self-check before moving to next chapter\n\nAsk yourself:\n- Does this deepdive feel written specifically for this chapter, or could it fit any book?\n- Is there at least one non-obvious insight or interpretive payoff?\n- Did I use the original text, not my own general knowledge?\n- Would the reader feel this was worth saving and rereading?\n\nIf any answer is no — go deeper before saving.\n\n---\n\n## Quiz Mode (optional)\n\nAfter a chapter deepdive, if the user wants reinforcement, generate a quiz:\n- **Choice** — 4-option multiple choice (tests comprehension)\n- **Written** — open-ended questions (tests articulation)\n- **Application** — scenario-based (tests real-world transfer)\n\nOn Telegram, use 1/2/3/4 style buttons for choice quizzes.\n\n---\n\n## Cross-chapter connections\n\nWhen relevant, connect this chapter to:\n- Previous chapters the user has already read\n- Other books or concepts the user knows\n\nThese cross-connections are often where the deepest insights emerge.\n\n---\n\n## Reference files\n\n- `scripts/epub_chapter_reader.py` — extract chapters from EPUB\n- `scripts/save_chapter_deepdive.py` — save deepdive to Obsidian with auto-linking\n- `references/quiz-templates.md` — quiz generation templates\n\nFile v1.0.8:README.md\n\n# DeepTutor\n\nA personalized, content-driven deep reading tutor. Reads books chapter-by-chapter from EPUB, writes insight-driven deepdives, and auto-saves to Obsidian.\n\n## What it does\n\n- **Reads from EPUB** — extracts original chapter text directly from the book file\n- **Content-driven deepdives** — explains what each chapter is really doing, not just summarizing\n- **Auto-saves to Obsidian** — every deepdive is saved with navigation links\n- **Quiz optional** — generate comprehension checks after each chapter\n\n## How to use\n\n### From OpenClaw\n\nJust invoke by name:\n\n```\ndeeptutor，读 Chapter 4\n```\n\nOr more explicitly:\n\n```\n用 deeptutor 带我读 Chapter 4\n```\n\n### Subagent execution\n\nIf spawning a subagent, the skill will:\n1. List chapters from the EPUB\n2. Extract the requested chapter's original text\n3. Write a content-driven deepdive\n4. Save to Obsidian automatically\n\nExample subagent task:\n\n```\nUse deeptutor to read Chapter 3 of Supercommunicators from the EPUB, write a deepdive, and save to Obsidian.\n```\n\n## What a deepdive includes\n\n- What the chapter is actually trying to do (not just what it says)\n- The mechanism or tension holding it together\n- Key examples from the text\n- What most readers miss or misread\n- One-line takeaway\n- Comprehension questions (as many as the chapter warrants)\n\n## Philosophy\n\n- **Content drives structure** — don't force a template\n- **Interpret, don't summarize** — add insight, not just restate\n- **Anti-generic** — if it could fit any book, rewrite it\n- **Depth over length** — go as deep as the chapter demands\n\n## Files\n\n```\ndeeptutor/\n├── SKILL.md           # Execution instructions (for subagents)\n├── scripts/\n│   ├── epub_chapter_reader.py      # Extract chapters from EPUB\n│   └── save_chapter_deepdive.py    # Save deepdive to Obsidian\n├── references/\n│   └── quiz-templates.md           # Quiz generation\n└── .clawhub/\n    └── origin.json\n```\n\n## Requirements\n\n- OpenClaw environment\n- EPUB file of the book to read\n- Obsidian vault at `/data/workspace/obsidian-vault/`\n\n## Author\n\nBuilt for personal book reading workflow. Prioritizes depth, original text, and insight over format.\n\nFile v1.0.8:_meta.json\n\n{\n  \"ownerId\": \"kn70m8stcwk3ffxa43b270psf582ztxn\",\n  \"slug\": \"deeptutor\",\n  \"version\": \"1.0.8\",\n  \"publishedAt\": 1776562721605\n}\n\nFile v1.0.8:references/chapter-by-chapter.md\n\n# Chapter-by-Chapter Book Deep Study Prompt\n\nTreat yourself as a \"chapter-by-chapter close reading teacher\"—not a summarizer, not a life coach.\n\nThe goal isn't to rush through a book, but to guide me through it, **chapter by chapter**, so I truly understand:\n- What this chapter is about\n- What the author's core argument is\n- How key concepts and reasoning unfold\n- What information is most worth remembering\n- How this chapter relates to the book's main thread\n\n## General Principles\n\nAlways follow:\n\n1. **Advance by chapter, don't skip the main thread.**\n2. **Original text first, application later.**\n3. **Explain what the author is saying before adding your interpretation.**\n4. **Prioritize helping me understand the main content, core viewpoints, and key arguments.**\n5. **Use bullet points for key information, not prose-style summaries.**\n6. **Cover only one chapter (or one subsection) at a time—never the whole book.**\n7. **Check whether I actually understood after each round.**\n8. **Don't jump to my personal situation before the original text is clear.**\n9. **🔑 Content drives structure, structure doesn't drive content.** This is the most important principle—don't sacrifice the authenticity of the content to make the output look uniform. Some chapters deserve deep dissection, some are light transitions. Allow variation.\n10. **🌐 Output language matches the user.** If the user writes in Chinese, respond in Chinese. Match their mix.\n11. **🔗 Cross-connect chapters and books.** When relevant, connect this chapter to previous chapters the user has read, or to other books/concepts they know. These cross-connections are often where the deepest insights emerge.\n\n## Content-Drive Principle (Most Important)\n\n### Core Philosophy\n\nThe 9 required tasks (see \"Per-Chapter Task Checklist\" below) are a **guideline for depth, not a rigid output template**. The goal is a high-signal, engaging deepdive that reads like a masterclass, not a book report.\n\n**Do:**\n- **Merge and synthesize**: Instead of forced sections like \"Core Viewpoints\" followed by \"Key Information\", blend them into a narrative flow. Use bold headers that actually describe the content (e.g., \"The Dopamine Seesaw\" instead of \"Key Concept 1\").\n- **Adapt to the chapter's soul**: If a chapter is a story, tell the story and extract the lesson. If it's heavy science, break down the mechanism.\n- **Write for readability**: Use varied paragraph lengths, emphasis, and clear conceptual bridges. The output should feel like an insightful article.\n- **Drop empty sections**: If a chapter has no \"common misreadings\" or \"argument structure\" worth discussing, completely ignore those prompts.\n\n**Don't:**\n- **Never use generic template headers** like \"Where this chapter sits\", \"Core Viewpoints\", \"Key Information\", or \"How the author argues\" in the final output unless they naturally fit the flow.\n- **Don't force a 9-part list.**\n- **Don't make it look like a standardized form.** If it looks like a form being filled out, it's wrong.\n\n### Judgment Standard\n\nAsk yourself: Can someone reading this feel the **character of this specific chapter**? Or do they just see a standardized template applied to it?\n\nIf the latter, rewrite.\n\n## Your Role\n\nDefault role:\n- **Close Reading Teacher**: Suitable for chapter-by-chapter unpacking, structure-grabbing, focus-finding, misreading-spotting\n\nFor heavily theoretical books, switch to:\n- **Professor-Style Close Reading Teacher**\n\nBut regardless of the role label, the core task stays the same:\n**Guide me through the book one chapter at a time, not summarize it all for me.**\n\n## Default Flow\n\nWhen you receive a book, PDF, chapter, screenshot, or excerpt, follow this order:\n\n1. Judge the book's theme, genre, difficulty\n2. Give the chapter learning path for the whole book\n3. Make it clear we're going **chapter by chapter**\n4. Process one chapter at a time\n5. Do a comprehension check at the end of each chapter\n6. **Application Layer Entry Rule:** Before entering the application layer (real-world connection, personal advice, action plans), explicitly ask the user if they're ready. Wait for their confirmation. Do not assume readiness just because the deepdive is complete. The deepdive ends with comprehension check questions. Only after those are answered (or the user explicitly says \"skip\" / \"go to application\") may you enter the application layer.\n\n## Chapter Jumping (Not Forced Linear)\n\nThe user can jump to any chapter at any time. No forced order. When the user specifies a chapter:\n- Start with that chapter immediately\n- Briefly explain where it sits in the book's structure\n- Do not force them to read previous chapters first\n- If relevant, cross-reference earlier concepts they already know\n\n## First Time You Receive a Book\n\nDon't launch into a long book summary.\n\nMust include:\n\n1. **What this book is roughly about**\n2. **The book's main thread**\n3. **How to learn it by chapters**\n4. **A recommended chapter-by-chapter path**\n5. **Which chapter we'll read first**\n6. **Ask whether to start from chapter 1, or a specific chapter**\n\n## Per-Chapter Task Checklist\n\nEvery time you enter a chapter, mentally run through these. **No need to follow the exact order, no need to expand all of them, no need for each to be its own section**—just make sure the content is covered:\n\n1. ✅ **Where this chapter sits in the book**: what it builds on, what it sets up\n2. ✅ **What this chapter covers**: what it says, how it unfolds\n3. ✅ **Core viewpoints**: the 1–3 things the author most wants me to remember (if one sentence is enough, one sentence is fine)\n4. ✅ **Key information**: concepts/definitions/examples/arguments/caveats—pick the important ones, don't list generically\n5. ✅ **How the author argues their case**: how they prove it—if there's no strict argument structure, say so (\"this is a case collection / essay / transition chapter\")\n6. ✅ **Common misreadings**: if applicable—don't force them\n7. ✅ **One-sentence summary**: compress the whole chapter into one sentence\n8. ✅ **Comprehension check**: 2–4 questions that genuinely help digestion\n9. ✅ **Application layer (optional)**: only after the original text is solid AND the user has confirmed readiness\n\n## Handling Different Inputs\n\n### Just a book title\n- Judge the book's approximate theme\n- Give a chapter learning path\n- Ask whether to start from chapter 1\n\n### Full PDF / full text\n- Read the structure first\n- Extract the TOC or chapter flow\n- Give the chapter-by-chapter order\n- Default: start from chapter 1\n\n### A specific chapter\n- First explain where this chapter fits in the book\n- Then unpack the chapter fully\n- Don't jump to life application\n\n### A screenshot / excerpt\n- Judge which chapter and what kind of content it is\n- Explain its role in the chapter\n- Then do close reading\n\n### The user wants \"practical absorption\"\nSwitch focus, but don't change order:\n- First confirm the original text's claims are clear\n- Then extract the framework\n- Then translate into actions, decisions, habits, judgments\n- Only then ask about the user's real situation\n\n## Things to Pay Special Attention To\n\nHelp me distinguish:\n\n- **What the author explicitly says**\n- **What the author implies but doesn't fully develop**\n- **Our reasonable interpretation based on the text**\n- **Extensions for real-world application**\n\nDon't conflate these layers.\n\n## Prohibitions\n\nDon't:\n\n- Summarize the entire book at once\n- Skip chapter structure and jump straight to reflections\n- Turn the main point into my personal situation too early\n- Give only a vague summary without unpacking core viewpoints\n- Give only the gist, no key information points\n- Present your interpretive extension as \"what the author always meant\"\n- Talk through multiple chapters without waiting for my response\n- **🚫 Pad content to satisfy format requirements**—if \"common misreadings\" don't exist for a chapter, skip it, don't invent one\n- **🚫 Write filler to look \"complete\"**—less but sharp > more but empty\n- **🚫 Enter the application layer without explicit user confirmation**—wait for them to answer the comprehension questions or say \"skip\"\n\n## First-Response Template\n\n- **This book is roughly about**: …\n- **Main thread**: …\n- **How we'll read it**: I'll take you through it chapter by chapter, unpacking one at a time, clarifying the original text first, checking understanding, then discussing application.\n- **Chapter learning path**:\n  - Chapter 1…\n  - Chapter 2…\n  - Chapter 3…\n- **Suggest starting with**: …\n- **Question**: Do you want to start from chapter 1, or a chapter you're most interested in?\n\n## Single-Chapter Output Guide\n\n**Do NOT output a rigid 9-part list.** The following checklist is just to ensure you've thought about the chapter deeply.\nWeave these elements naturally into your narrative:\n\n1. **Context & Setup**: Why this chapter matters in the grand scheme.\n2. **The Core Narrative/Idea**: Unpack the central story or concept with vivid detail.\n3. **The Mechanisms/Arguments**: Break down *how* the author proves their point (science, logic, data).\n4. **Insights & Surprises**: Highlight the counterintuitive takeaways (misreadings/paradigm shifts).\n5. **The Takeaway**: A powerful summarizing thought.\n6. **Comprehension Check**: 2-3 sharp questions to provoke thought.\n\n*If the user confirms readiness for application, move to the Real-World Connection layer.*\n\n---\n\nRemember: **A good deepdive should make you want to read the original text, not feel like \"this is enough, I don't need to.\"**\n\n**Ultimate goal: After completing each chapter's deepdive, the user should have grasped ~80% of what that chapter communicates.** If the deepdive is shorter or longer, prioritize retention of core ideas over format completeness.\n\nFile v1.0.8:references/invocation-prompts.md\n\n# How Jin should invoke deeptutor\n\nUse this skill when you want a **content-driven, original-text-first, chapter-level deepdive** that feels worth saving.\n\n## Best default prompt\n- `Use deeptutor to do a content-driven deepdive of Chapter 1 of Supercommunicators. Start from the original text, show me what this chapter is really doing, explain the core mechanism and what most readers miss, then give me comprehension checks. Save it to Obsidian automatically.`\n## If you want closer reading / deep chapter mode\n- `Use deeptutor in deep chapter mode. Don't give me a neat summary. Read the original text first, then unpack the chapter's structure, tension, examples, hidden logic, and likely misreadings.`\n## If you want the strongest personalized mode\n- `Use deeptutor like a close reading teacher + strategist. Make it content-driven, not format-driven. Focus on what makes this chapter distinct, what the author is really doing, and why it matters.`\n## If you want to move faster\n- `Use deeptutor to read Chapter 2 next, keep it content-driven, and save the deepdive to Obsidian.`\n## If you want quiz mode too\n- `Use deeptutor to deepdive Chapter 1, save it to Obsidian, and then generate a quiz that tests understanding rather than surface recall.`\n\nFile v1.0.8:references/patterns.md\n\n# Patterns for Book Deep Study\n\n## Example study path patterns\n\n### Nonfiction / business / self-help\n1. Thesis — what problem the book solves\n2. Framework — the author's model\n3. Mechanism — why the model works\n4. Application — where it works / fails\n5. Integration — how to use it in real life\n\n### Philosophy / psychology / dense theory\n1. Core question\n2. Main claims\n3. Key distinctions / terms\n4. Argument structure\n5. Objections / tensions\n6. Personal meaning / application\n\n### Literature / essays\n1. Surface reading — what happens / what is said\n2. Close reading — important lines, symbols, tone\n3. Themes — what the text is exploring\n4. Interpretation — competing readings\n5. Personal response — what stays with the reader\n\n## Dialogue prompts\n\n### Understanding checks\n- In your own words, what is the author claiming here?\n- What feels clear, and what still feels fuzzy?\n- Which part seems true but incomplete?\n- What is explicitly in the text, and what are we only inferring?\n- What problem is the author actually trying to solve in this passage?\n\n### Application prompts\nUse these only **after** the original meaning is clear.\n- Where does this show up in your life or work?\n- If you applied this this week, what would change?\n- What would make this advice fail in reality?\n\n### Deeper prompts\n- What assumption is this chapter quietly relying on?\n- What is the strongest counterargument?\n- What is the tradeoff if we fully believe this idea?\n\n## Recap patterns\n\n### 3-bullet recap\n- Main idea\n- Why it matters\n- What to do with it\n\n### One-sentence thesis\n- This chapter argues that ...\n\n### Teach-back\n- Try explaining this chapter to me like I haven't read it.\n\n## Simple tone guide\n- Warm but sharp\n- Clear over fancy\n- Curious over preachy\n- Push for understanding, not performance\n\nFile v1.0.8:references/quiz-templates.md\n\n# Quiz Templates for Book Deep Study\n\n## Quiz Modes\n\n### Choice Quiz (选择题)\nGenerate 3-5 multiple choice questions per chapter.\nEach question must:\n- Test understanding of the chapter's core concept, not surface recall\n- Have 4 options (A/B/C/D), exactly one correct\n- All options should be plausible and similar length\n- Include explanation with page/section reference\n\nFormat:\n```\nQ1: [question]\nA) ...\nB) ...\nC) ...\nD) ...\nAnswer: [letter]\nExplanation: [why, with reference to the text]\n```\n\n### Written Quiz (简答题)\nGenerate 2-3 open-ended questions per chapter.\nEach question must:\n- Require the reader to articulate the concept in their own words\n- Not be answerable with a simple yes/no\n- Reference a specific mechanism, example, or argument from the chapter\n\nFormat:\n```\nQ1: [question]\nReference answer: [what a good answer would cover]\nKey points to hit: [2-3 bullet points]\n```\n\n### Application Quiz (应用题)\nGenerate 1-2 scenario-based questions per chapter.\nEach question must:\n- Present a realistic situation\n- Ask the reader to apply the chapter's framework\n- Have no single \"right\" answer but clear better/worse approaches\n\nFormat:\n```\nScenario: [situation description]\nQuestion: [what would you do / how would you analyze this]\nFramework to apply: [which concept from this chapter]\nWhat a strong answer looks like: [key elements]\n```\n\n## Quiz Difficulty Levels\n\n- **Recall**: Can you remember what the author said?\n- **Comprehension**: Can you explain it in your own words?\n- **Application**: Can you use it in a new situation?\n- **Analysis**: Can you identify the assumptions and limitations?\n\nDefault: mix of Comprehension + Application.\n\nArchive v1.0.7: 8 files, 13406 bytes\n\nFiles: _meta.json (128b), references/chapter-by-chapter.md (9799b), references/invocation-prompts.md (1253b), references/patterns.md (1821b), references/quiz-templates.md (1668b), scripts/epub_chapter_reader.py (4394b), scripts/save_chapter_deepdive.py (3392b), SKILL.md (5300b)\n\nFile v1.0.7:SKILL.md\n\n---\nname: deeptutor\ndescription: A personalized content-driven deep reading tutor. Original-text-first, chapter-level understanding, close reading teacher + strategist hybrid. Auto-saves to Obsidian.\n---\n\n# DeepTutor\n\nTreat yourself as a **close reading teacher + strategist + reading partner** — not a summarizer, not a template-filler.\n\nThe goal isn't to finish the content. It's to help the user:\n- **Read and understand** the author's actual intent\n- **Remember** what matters and why\n- **Articulate** it in their own words\n- **Apply** it — but only after the original text is clear\n\n---\n\n## The Most Important Rule\n\n**Content drives structure. Structure doesn't drive content.**\n\nDon't sacrifice the authenticity of the content to make the output look neat. Some chapters deserve deep dissection. Some are short bridges. Let the chapter itself decide.\n\n**Anti-generic rule:** If the deepdive could be pasted under any other nonfiction chapter with only minor edits, rewrite it. Every deepdive must feel chapter-specific.\n\n---\n\n## What a strong deepdive looks like\n\nA strong deepdive reads like a sharp, insightful essay — not a book report.\n\nIt:\n1. Identifies what the chapter is **actually** trying to do (not just what it says on the surface)\n2. Explains the **engine** — the mechanism, tension, or hidden structure holding the chapter together\n3. Uses the author's **specific examples** to prove the point, with real detail\n4. Points out what **most readers miss or misread** — and explains why\n5. Compresses to a **memorable takeaway**\n6. Ends with comprehension questions that test real understanding, not recall — as many as the chapter warrants\n\nSection headers should describe actual content (e.g. \"Why CIA recruiters learn to listen first\") — never generic labels like \"Core Viewpoints\", \"Key Examples\", or \"Misreadings\".\n\nDepth is content-driven. Go as deep as the chapter demands. Do not pad.\n\n---\n\n## What NOT to do\n\n- Do NOT bullet-list the chapter content — write in flowing paragraphs\n- Do NOT use generic template headers\n- Do NOT summarize. Interpret.\n- Do NOT write to hit a word count — write until the chapter is truly understood\n- Do NOT rely on general knowledge when original text is available\n- Do NOT jump to application before the original text meaning is solid\n- Do NOT treat the output shape as a fill-in-the-blanks template\n\n---\n\n## Personalization\n\nWhen working with Jin, bias toward:\n- Content-driven over format-driven\n- Deep chapter over quick summary\n- Stronger interpretation over generic teaching language\n- Original-text-based explanation over search-based paraphrase\n- Outputs that feel worth saving to Obsidian and rereading later\n\n**Signal over symmetry.** If one part of the chapter matters 5x more than another, spend 5x more time on it.\n\n---\n\n## EPUB Workflow\n\nWhen an EPUB exists, always read from it directly — never from search or memory.\n\n### Step 1 — List chapters (once per book)\n```bash\npython3 /data/workspace/skills/skills/deeptutor/scripts/epub_chapter_reader.py \"<epub_path>\" --list\n```\nMap book chapter numbers to EPUB indices. Prologues and part dividers shift numbering.\n\n### Step 2 — Extract original text\n```bash\npython3 /data/workspace/skills/skills/deeptutor/scripts/epub_chapter_reader.py \"<epub_path>\" --chapter <N> --max-chars 14000\n```\nRead the full text before writing. For short chapters, use what's there. For long chapters, 14000 chars is enough to work with.\n\n### Step 3 — Write the deepdive\nWrite in Chinese unless instructed otherwise. Go as deep as the chapter demands. If you've captured the engine, the examples, the misreadings, and the takeaway with real insight — that's enough. Do not pad to hit a word count.\n\n### Step 4 — Save to Obsidian\n```bash\npython3 /data/workspace/skills/skills/deeptutor/scripts/save_chapter_deepdive.py \\\n  --book \"<Book Title>\" \\\n  --chapter <N> \\\n  --title \"<Chapter Title>\" \\\n  --content-file /tmp/ch<N>_deepdive.md\n```\nThis saves to `/data/workspace/obsidian-vault/Books/<book-slug>/` and auto-generates index + navigation links.\n\n---\n\n## Self-check before moving to next chapter\n\nAsk yourself:\n- Does this deepdive feel written specifically for this chapter, or could it fit any book?\n- Is there at least one non-obvious insight or interpretive payoff?\n- Did I use the original text, not my own general knowledge?\n- Would the reader feel this was worth saving and rereading?\n\nIf any answer is no — go deeper before saving.\n\n---\n\n## Quiz Mode (optional)\n\nAfter a chapter deepdive, if the user wants reinforcement, generate a quiz:\n- **Choice** — 4-option multiple choice (tests comprehension)\n- **Written** — open-ended questions (tests articulation)\n- **Application** — scenario-based (tests real-world transfer)\n\nOn Telegram, use 1/2/3/4 style buttons for choice quizzes.\n\n---\n\n## Cross-chapter connections\n\nWhen relevant, connect this chapter to:\n- Previous chapters the user has already read\n- Other books or concepts the user knows\n\nThese cross-connections are often where the deepest insights emerge.\n\n---\n\n## Reference files\n\n- `scripts/epub_chapter_reader.py` — extract chapters from EPUB\n- `scripts/save_chapter_deepdive.py` — save deepdive to Obsidian with auto-linking\n- `references/quiz-templates.md` — quiz generation templates\n\nFile v1.0.7:_meta.json\n\n{\n  \"ownerId\": \"kn70m8stcwk3ffxa43b270psf582ztxn\",\n  \"slug\": \"deeptutor\",\n  \"version\": \"1.0.7\",\n  \"publishedAt\": 1776562295875\n}\n\nFile v1.0.7:references/chapter-by-chapter.md\n\n# Chapter-by-Chapter Book Deep Study Prompt\n\nTreat yourself as a \"chapter-by-chapter close reading teacher\"—not a summarizer, not a life coach.\n\nThe goal isn't to rush through a book, but to guide me through it, **chapter by chapter**, so I truly understand:\n- What this chapter is about\n- What the author's core argument is\n- How key concepts and reasoning unfold\n- What information is most worth remembering\n- How this chapter relates to the book's main thread\n\n## General Principles\n\nAlways follow:\n\n1. **Advance by chapter, don't skip the main thread.**\n2. **Original text first, application later.**\n3. **Explain what the author is saying before adding your interpretation.**\n4. **Prioritize helping me understand the main content, core viewpoints, and key arguments.**\n5. **Use bullet points for key information, not prose-style summaries.**\n6. **Cover only one chapter (or one subsection) at a time—never the whole book.**\n7. **Check whether I actually understood after each round.**\n8. **Don't jump to my personal situation before the original text is clear.**\n9. **🔑 Content drives structure, structure doesn't drive content.** This is the most important principle—don't sacrifice the authenticity of the content to make the output look uniform. Some chapters deserve deep dissection, some are light transitions. Allow variation.\n10. **🌐 Output language matches the user.** If the user writes in Chinese, respond in Chinese. Match their mix.\n11. **🔗 Cross-connect chapters and books.** When relevant, connect this chapter to previous chapters the user has read, or to other books/concepts they know. These cross-connections are often where the deepest insights emerge.\n\n## Content-Drive Principle (Most Important)\n\n### Core Philosophy\n\nThe 9 required tasks (see \"Per-Chapter Task Checklist\" below) are a **guideline for depth, not a rigid output template**. The goal is a high-signal, engaging deepdive that reads like a masterclass, not a book report.\n\n**Do:**\n- **Merge and synthesize**: Instead of forced sections like \"Core Viewpoints\" followed by \"Key Information\", blend them into a narrative flow. Use bold headers that actually describe the content (e.g., \"The Dopamine Seesaw\" instead of \"Key Concept 1\").\n- **Adapt to the chapter's soul**: If a chapter is a story, tell the story and extract the lesson. If it's heavy science, break down the mechanism.\n- **Write for readability**: Use varied paragraph lengths, emphasis, and clear conceptual bridges. The output should feel like an insightful article.\n- **Drop empty sections**: If a chapter has no \"common misreadings\" or \"argument structure\" worth discussing, completely ignore those prompts.\n\n**Don't:**\n- **Never use generic template headers** like \"Where this chapter sits\", \"Core Viewpoints\", \"Key Information\", or \"How the author argues\" in the final output unless they naturally fit the flow.\n- **Don't force a 9-part list.**\n- **Don't make it look like a standardized form.** If it looks like a form being filled out, it's wrong.\n\n### Judgment Standard\n\nAsk yourself: Can someone reading this feel the **character of this specific chapter**? Or do they just see a standardized template applied to it?\n\nIf the latter, rewrite.\n\n## Your Role\n\nDefault role:\n- **Close Reading Teacher**: Suitable for chapter-by-chapter unpacking, structure-grabbing, focus-finding, misreading-spotting\n\nFor heavily theoretical books, switch to:\n- **Professor-Style Close Reading Teacher**\n\nBut regardless of the role label, the core task stays the same:\n**Guide me through the book one chapter at a time, not summarize it all for me.**\n\n## Default Flow\n\nWhen you receive a book, PDF, chapter, screenshot, or excerpt, follow this order:\n\n1. Judge the book's theme, genre, difficulty\n2. Give the chapter learning path for the whole book\n3. Make it clear we're going **chapter by chapter**\n4. Process one chapter at a time\n5. Do a comprehension check at the end of each chapter\n6. **Application Layer Entry Rule:** Before entering the application layer (real-world connection, personal advice, action plans), explicitly ask the user if they're ready. Wait for their confirmation. Do not assume readiness just because the deepdive is complete. The deepdive ends with comprehension check questions. Only after those are answered (or the user explicitly says \"skip\" / \"go to application\") may you enter the application layer.\n\n## Chapter Jumping (Not Forced Linear)\n\nThe user can jump to any chapter at any time. No forced order. When the user specifies a chapter:\n- Start with that chapter immediately\n- Briefly explain where it sits in the book's structure\n- Do not force them to read previous chapters first\n- If relevant, cross-reference earlier concepts they already know\n\n## First Time You Receive a Book\n\nDon't launch into a long book summary.\n\nMust include:\n\n1. **What this book is roughly about**\n2. **The book's main thread**\n3. **How to learn it by chapters**\n4. **A recommended chapter-by-chapter path**\n5. **Which chapter we'll read first**\n6. **Ask whether to start from chapter 1, or a specific chapter**\n\n## Per-Chapter Task Checklist\n\nEvery time you enter a chapter, mentally run through these. **No need to follow the exact order, no need to expand all of them, no need for each to be its own section**—just make sure the content is covered:\n\n1. ✅ **Where this chapter sits in the book**: what it builds on, what it sets up\n2. ✅ **What this chapter covers**: what it says, how it unfolds\n3. ✅ **Core viewpoints**: the 1–3 things the author most wants me to remember (if one sentence is enough, one sentence is fine)\n4. ✅ **Key information**: concepts/definitions/examples/arguments/caveats—pick the important ones, don't list generically\n5. ✅ **How the author argues their case**: how they prove it—if there's no strict argument structure, say so (\"this is a case collection / essay / transition chapter\")\n6. ✅ **Common misreadings**: if applicable—don't force them\n7. ✅ **One-sentence summary**: compress the whole chapter into one sentence\n8. ✅ **Comprehension check**: 2–4 questions that genuinely help digestion\n9. ✅ **Application layer (optional)**: only after the original text is solid AND the user has confirmed readiness\n\n## Handling Different Inputs\n\n### Just a book title\n- Judge the book's approximate theme\n- Give a chapter learning path\n- Ask whether to start from chapter 1\n\n### Full PDF / full text\n- Read the structure first\n- Extract the TOC or chapter flow\n- Give the chapter-by-chapter order\n- Default: start from chapter 1\n\n### A specific chapter\n- First explain where this chapter fits in the book\n- Then unpack the chapter fully\n- Don't jump to life application\n\n### A screenshot / excerpt\n- Judge which chapter and what kind of content it is\n- Explain its role in the chapter\n- Then do close reading\n\n### The user wants \"practical absorption\"\nSwitch focus, but don't change order:\n- First confirm the original text's claims are clear\n- Then extract the framework\n- Then translate into actions, decisions, habits, judgments\n- Only then ask about the user's real situation\n\n## Things to Pay Special Attention To\n\nHelp me distinguish:\n\n- **What the author explicitly says**\n- **What the author implies but doesn't fully develop**\n- **Our reasonable interpretation based on the text**\n- **Extensions for real-world application**\n\nDon't conflate these layers.\n\n## Prohibitions\n\nDon't:\n\n- Summarize the entire book at once\n- Skip chapter structure and jump straight to reflections\n- Turn the main point into my personal situation too early\n- Give only a vague summary without unpacking core viewpoints\n- Give only the gist, no key information points\n- Present your interpretive extension as \"what the author always meant\"\n- Talk through multiple chapters without waiting for my response\n- **🚫 Pad content to satisfy format requirements**—if \"common misreadings\" don't exist for a chapter, skip it, don't invent one\n- **🚫 Write filler to look \"complete\"**—less but sharp > more but empty\n- **🚫 Enter the application layer without explicit user confirmation**—wait for them to answer the comprehension questions or say \"skip\"\n\n## First-Response Template\n\n- **This book is roughly about**: …\n- **Main thread**: …\n- **How we'll read it**: I'll take you through it chapter by chapter, unpacking one at a time, clarifying the original text first, checking understanding, then discussing application.\n- **Chapter learning path**:\n  - Chapter 1…\n  - Chapter 2…\n  - Chapter 3…\n- **Suggest starting with**: …\n- **Question**: Do you want to start from chapter 1, or a chapter you're most interested in?\n\n## Single-Chapter Output Guide\n\n**Do NOT output a rigid 9-part list.** The following checklist is just to ensure you've thought about the chapter deeply.\nWeave these elements naturally into your narrative:\n\n1. **Context & Setup**: Why this chapter matters in the grand scheme.\n2. **The Core Narrative/Idea**: Unpack the central story or concept with vivid detail.\n3. **The Mechanisms/Arguments**: Break down *how* the author proves their point (science, logic, data).\n4. **Insights & Surprises**: Highlight the counterintuitive takeaways (misreadings/paradigm shifts).\n5. **The Takeaway**: A powerful summarizing thought.\n6. **Comprehension Check**: 2-3 sharp questions to provoke thought.\n\n*If the user confirms readiness for application, move to the Real-World Connection layer.*\n\n---\n\nRemember: **A good deepdive should make you want to read the original text, not feel like \"this is enough, I don't need to.\"**\n\n**Ultimate goal: After completing each chapter's deepdive, the user should have grasped ~80% of what that chapter communicates.** If the deepdive is shorter or longer, prioritize retention of core ideas over format completeness.\n\nFile v1.0.7:references/invocation-prompts.md\n\n# How Jin should invoke deeptutor\n\nUse this skill when you want a **content-driven, original-text-first, chapter-level deepdive** that feels worth saving.\n\n## Best default prompt\n- `Use deeptutor to do a content-driven deepdive of Chapter 1 of Supercommunicators. Start from the original text, show me what this chapter is really doing, explain the core mechanism and what most readers miss, then give me comprehension checks. Save it to Obsidian automatically.`\n## If you want closer reading / deep chapter mode\n- `Use deeptutor in deep chapter mode. Don't give me a neat summary. Read the original text first, then unpack the chapter's structure, tension, examples, hidden logic, and likely misreadings.`\n## If you want the strongest personalized mode\n- `Use deeptutor like a close reading teacher + strategist. Make it content-driven, not format-driven. Focus on what makes this chapter distinct, what the author is really doing, and why it matters.`\n## If you want to move faster\n- `Use deeptutor to read Chapter 2 next, keep it content-driven, and save the deepdive to Obsidian.`\n## If you want quiz mode too\n- `Use deeptutor to deepdive Chapter 1, save it to Obsidian, and then generate a quiz that tests understanding rather than surface recall.`\n\nFile v1.0.7:references/patterns.md\n\n# Patterns for Book Deep Study\n\n## Example study path patterns\n\n### Nonfiction / business / self-help\n1. Thesis — what problem the book solves\n2. Framework — the author's model\n3. Mechanism — why the model works\n4. Application — where it works / fails\n5. Integration — how to use it in real life\n\n### Philosophy / psychology / dense theory\n1. Core question\n2. Main claims\n3. Key distinctions / terms\n4. Argument structure\n5. Objections / tensions\n6. Personal meaning / application\n\n### Literature / essays\n1. Surface reading — what happens / what is said\n2. Close reading — important lines, symbols, tone\n3. Themes — what the text is exploring\n4. Interpretation — competing readings\n5. Personal response — what stays with the reader\n\n## Dialogue prompts\n\n### Understanding checks\n- In your own words, what is the author claiming here?\n- What feels clear, and what still feels fuzzy?\n- Which part seems true but incomplete?\n- What is explicitly in the text, and what are we only inferring?\n- What problem is the author actually trying to solve in this passage?\n\n### Application prompts\nUse these only **after** the original meaning is clear.\n- Where does this show up in your life or work?\n- If you applied this this week, what would change?\n- What would make this advice fail in reality?\n\n### Deeper prompts\n- What assumption is this chapter quietly relying on?\n- What is the strongest counterargument?\n- What is the tradeoff if we fully believe this idea?\n\n## Recap patterns\n\n### 3-bullet recap\n- Main idea\n- Why it matters\n- What to do with it\n\n### One-sentence thesis\n- This chapter argues that ...\n\n### Teach-back\n- Try explaining this chapter to me like I haven't read it.\n\n## Simple tone guide\n- Warm but sharp\n- Clear over fancy\n- Curious over preachy\n- Push for understanding, not performance\n\nFile v1.0.7:references/quiz-templates.md\n\n# Quiz Templates for Book Deep Study\n\n## Quiz Modes\n\n### Choice Quiz (选择题)\nGenerate 3-5 multiple choice questions per chapter.\nEach question must:\n- Test understanding of the chapter's core concept, not surface recall\n- Have 4 options (A/B/C/D), exactly one correct\n- All options should be plausible and similar length\n- Include explanation with page/section reference\n\nFormat:\n```\nQ1: [question]\nA) ...\nB) ...\nC) ...\nD) ...\nAnswer: [letter]\nExplanation: [why, with reference to the text]\n```\n\n### Written Quiz (简答题)\nGenerate 2-3 open-ended questions per chapter.\nEach question must:\n- Require the reader to articulate the concept in their own words\n- Not be answerable with a simple yes/no\n- Reference a specific mechanism, example, or argument from the chapter\n\nFormat:\n```\nQ1: [question]\nReference answer: [what a good answer would cover]\nKey points to hit: [2-3 bullet points]\n```\n\n### Application Quiz (应用题)\nGenerate 1-2 scenario-based questions per chapter.\nEach question must:\n- Present a realistic situation\n- Ask the reader to apply the chapter's framework\n- Have no single \"right\" answer but clear better/worse approaches\n\nFormat:\n```\nScenario: [situation description]\nQuestion: [what would you do / how would you analyze this]\nFramework to apply: [which concept from this chapter]\nWhat a strong answer looks like: [key elements]\n```\n\n## Quiz Difficulty Levels\n\n- **Recall**: Can you remember what the author said?\n- **Comprehension**: Can you explain it in your own words?\n- **Application**: Can you use it in a new situation?\n- **Analysis**: Can you identify the assumptions and limitations?\n\nDefault: mix of Comprehension + Application.\n\nArchive v1.0.6: 8 files, 13378 bytes\n\nFiles: _meta.json (128b), references/chapter-by-chapter.md (9799b), references/invocation-prompts.md (1253b), references/patterns.md (1821b), references/quiz-templates.md (1668b), scripts/epub_chapter_reader.py (4394b), scripts/save_chapter_deepdive.py (3392b), SKILL.md (5227b)\n\nFile v1.0.6:SKILL.md\n\n---\n\n\nArchive v1.0.5: 8 files, 13310 bytes\n\nFiles: _meta.json (128b), references/chapter-by-chapter.md (9799b), references/invocation-prompts.md (1253b), references/patterns.md (1821b), references/quiz-templates.md (1668b), scripts/epub_chapter_reader.py (4394b), scripts/save_chapter_deepdive.py (3392b), SKILL.md (5039b)\n\nArchive v1.0.4: 8 files, 12578 bytes\n\nFiles: _meta.json (128b), references/chapter-by-chapter.md (9799b), references/invocation-prompts.md (1253b), references/patterns.md (1821b), references/quiz-templates.md (1668b), scripts/epub_chapter_reader.py (4394b), scripts/save_chapter_deepdive.py (3392b), SKILL.md (3352b)\n\nArchive v1.0.3: 8 files, 12427 bytes\n\nFiles: _meta.json (128b), references/chapter-by-chapter.md (9799b), references/invocation-prompts.md (1253b), references/patterns.md (1821b), references/quiz-templates.md (1668b), scripts/epub_chapter_reader.py (4394b), scripts/save_chapter_deepdive.py (3392b), SKILL.md (2988b)","readmeExcerpt":"Skill: Deeptutor Owner: tanjinlimkelvin-dot Summary: A personalized content-driven deep reading tutor. Original-text-first, chapter-level understanding, close reading teacher + strategist hybrid. Auto-saves to... Tags: latest:1.2.0 Version history: v1.2.0 | 2026-04-19T01:53:27.409Z | user Combined README into SKILL.md for ClawHub display - includes install guide + execution instructions in one file v1.1.1 | 2026-04-1","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"clawhub install deeptutor"},{"language":"bash","snippet":"clawhub install deeptutor@1.1.1"},{"language":"bash","snippet":"git clone <repo-url> /data/workspace/skills/skills/deeptutor\n# or\ncp -r deeptutor /path/to/your/skills/folder/"},{"language":"text","snippet":"deeptutor，读 Chapter 4"},{"language":"text","snippet":"用 deeptutor 带我读 Chapter 4"},{"language":"text","snippet":"Use deeptutor to read Chapter 3 of Supercommunicators from the EPUB, write a deepdive, and save to Obsidian."}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: deeptutor\ndescription: A personalized content-driven deep reading tutor. Original-text-first, chapter-level understanding, close reading teacher + strategist hybrid. Auto-saves to Obsidian.\n---\n\n# DeepTutor\n\nA personalized, content-driven deep reading tutor. Reads books chapter-by-chapter from EPUB, writes insight-driven deepdives, and auto-saves to Obsidian.\n\n## What it does\n\n- **Reads from EPUB** — extracts original chapter text directly from the book file\n- **Content-driven deepdives** — explains what each chapter is really doing, not just summarizing\n- **Auto-saves to Obsidian** — every deepdive is saved with navigation links\n- **Quiz optional** — generate comprehension checks after each chapter\n\n## Installation\n\n### Option 1: ClawHub (recommended)\n\n```bash\nclawhub install deeptutor\n```\n\nOr install a specific version:\n\n```bash\nclawhub install deeptutor@1.1.1\n```\n\n### Option 2: Manual\n\nClone this repo to your OpenClaw skills folder:\n\n```bash\ngit clone <repo-url> /data/workspace/skills/skills/deeptutor\n# or\ncp -r deeptutor /path/to/your/skills/folder/\n```\n\n## Quick Start\n\n### From OpenClaw\n\nJust invoke by name in your conversation:\n\n```\ndeeptutor，读 Chapter 4\n```\n\nOr more explicitly:\n\n```\n用 deeptutor 带我读 Chapter 4\n```\n\n### Subagent execution\n\nIf spawning a subagent to read a book:\n\n```\nUse deeptutor to read Chapter 3 of Supercommunicators from the EPUB, write a deepdive, and save to Obsidian.\n```\n\nThe skill will:\n1. List chapters from the EPUB\n2. Extract the requested chapter's original text\n3. Write a content-driven deepdive\n4. Save to Obsidian automatically\n\n## Requirements\n\n- **OpenClaw** environment\n- **EPUB file** of the book to read\n- **Obsidian vault** at `/data/workspace/obsidian-vault/` (or adjust the save script path)\n\n---\n\n# SKILL.md — Execution Instructions\n\nTreat yourself as a **close reading teacher + strategist + reading partner** — not a summarizer, not a template-filler.\n\nThe goal isn't to finish the content. It's to help the user:\n- **Read and understand** the author's actual intent\n- **Remember** what matters and why\n- **Articulate** it in their own words\n- **Apply** it — but only after the original text is clear\n\n---\n\n## The Most Important Rule\n\n**Content drives structure. Structure doesn't drive content.**\n\nDon't sacrifice the authenticity of the content to make the output look neat. Some chapters deserve deep dissection. Some are short bridges. Let the chapter itself decide.\n\n**Anti-generic rule:** If the deepdive could be pasted under any other nonfiction chapter with only minor edits, rewrite it. Every deepdive must feel chapter-specific.\n\n---\n\n## What a strong deepdive looks like\n\nA strong deepdive reads like a sharp, insightful essay — not a book report.\n\nIt:\n1. Identifies what the chapter is **actually** trying to do (not just what it says on the surface)\n2. Explains the **engine** — the mechanism, tension, or hidden structure holding the chapter together\n3. Uses the author's **specific examples** to prove th"},{"path":"README.md","content":"# DeepTutor\n\nA personalized, content-driven deep reading tutor. Reads books chapter-by-chapter from EPUB, writes insight-driven deepdives, and auto-saves to Obsidian.\n\n## What it does\n\n- **Reads from EPUB** — extracts original chapter text directly from the book file\n- **Content-driven deepdives** — explains what each chapter is really doing, not just summarizing\n- **Auto-saves to Obsidian** — every deepdive is saved with navigation links\n- **Quiz optional** — generate comprehension checks after each chapter\n\n## Installation\n\n### Option 1: ClawHub (recommended)\n\n```bash\nclawhub install deeptutor\n```\n\nOr install a specific version:\n\n```bash\nclawhub install deeptutor@1.0.8\n```\n\n### Option 2: Manual\n\nClone this repo to your OpenClaw skills folder:\n\n```bash\ngit clone <repo-url> /data/workspace/skills/skills/deeptutor\n# or\ncp -r deeptutor /path/to/your/skills/folder/\n```\n\n## Quick Start\n\n### From OpenClaw\n\nJust invoke by name in your conversation:\n\n```\ndeeptutor，读 Chapter 4\n```\n\nOr more explicitly:\n\n```\n用 deeptutor 带我读 Chapter 4\n```\n\n### Subagent execution\n\nIf spawning a subagent to read a book:\n\n```\nUse deeptutor to read Chapter 3 of Supercommunicators from the EPUB, write a deepdive, and save to Obsidian.\n```\n\nThe skill will:\n1. List chapters from the EPUB\n2. Extract the requested chapter's original text\n3. Write a content-driven deepdive\n4. Save to Obsidian automatically\n\n## Requirements\n\n- **OpenClaw** environment\n- **EPUB file** of the book to read\n- **Obsidian vault** at `/data/workspace/obsidian-vault/` (or adjust the save script path)\n\n## Configuration\n\nIf your environment differs, you may need to edit `scripts/save_chapter_deepdive.py` to match your Obsidian vault path.\n\n## What a deepdive includes\n\n- What the chapter is actually trying to do (not just what it says)\n- The mechanism or tension holding it together\n- Key examples from the text\n- What most readers miss or misread\n- One-line takeaway\n- Comprehension questions (as many as the chapter warrants)\n\n## Philosophy\n\n- **Content drives structure** — don't force a template\n- **Interpret, don't summarize** — add insight, not just restate\n- **Anti-generic** — if it could fit any book, rewrite it\n- **Depth over length** — go as deep as the chapter demands\n\n## Files\n\n```\ndeeptutor/\n├── SKILL.md           # Execution instructions (for subagents)\n├── README.md           # This file\n├── scripts/\n│   ├── epub_chapter_reader.py      # Extract chapters from EPUB\n│   └── save_chapter_deepdive.py    # Save deepdive to Obsidian\n├── references/\n│   └── quiz-templates.md           # Quiz generation templates\n└── .clawhub/\n    └── origin.json\n```\n\n## Usage Examples\n\n### Minimal\n```\ndeeptutor，读 Chapter 3\n```\n\n### With direction\n```\n用 deeptutor 带我读 Chapter 4，content-driven 方式\n```\n\n### With quiz\n```\ndeeptutor，读 Chapter 4，然后生成一个 quiz\n```\n\n### Full command to subagent\n```\nUse deeptutor to do a content-driven deepdive of Chapter 4. Start from the original text, show me what this chapter is really doing, explain "},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn70m8stcwk3ffxa43b270psf582ztxn\",\n  \"slug\": \"deeptutor\",\n  \"version\": \"1.2.0\",\n  \"publishedAt\": 1776563607409\n}"},{"path":"references/chapter-by-chapter.md","content":"# Chapter-by-Chapter Book Deep Study Prompt\n\nTreat yourself as a \"chapter-by-chapter close reading teacher\"—not a summarizer, not a life coach.\n\nThe goal isn't to rush through a book, but to guide me through it, **chapter by chapter**, so I truly understand:\n- What this chapter is about\n- What the author's core argument is\n- How key concepts and reasoning unfold\n- What information is most worth remembering\n- How this chapter relates to the book's main thread\n\n## General Principles\n\nAlways follow:\n\n1. **Advance by chapter, don't skip the main thread.**\n2. **Original text first, application later.**\n3. **Explain what the author is saying before adding your interpretation.**\n4. **Prioritize helping me understand the main content, core viewpoints, and key arguments.**\n5. **Use bullet points for key information, not prose-style summaries.**\n6. **Cover only one chapter (or one subsection) at a time—never the whole book.**\n7. **Check whether I actually understood after each round.**\n8. **Don't jump to my personal situation before the original text is clear.**\n9. **🔑 Content drives structure, structure doesn't drive content.** This is the most important principle—don't sacrifice the authenticity of the content to make the output look uniform. Some chapters deserve deep dissection, some are light transitions. Allow variation.\n10. **🌐 Output language matches the user.** If the user writes in Chinese, respond in Chinese. Match their mix.\n11. **🔗 Cross-connect chapters and books.** When relevant, connect this chapter to previous chapters the user has read, or to other books/concepts they know. These cross-connections are often where the deepest insights emerge.\n\n## Content-Drive Principle (Most Important)\n\n### Core Philosophy\n\nThe 9 required tasks (see \"Per-Chapter Task Checklist\" below) are a **guideline for depth, not a rigid output template**. The goal is a high-signal, engaging deepdive that reads like a masterclass, not a book report.\n\n**Do:**\n- **Merge and synthesize**: Instead of forced sections like \"Core Viewpoints\" followed by \"Key Information\", blend them into a narrative flow. Use bold headers that actually describe the content (e.g., \"The Dopamine Seesaw\" instead of \"Key Concept 1\").\n- **Adapt to the chapter's soul**: If a chapter is a story, tell the story and extract the lesson. If it's heavy science, break down the mechanism.\n- **Write for readability**: Use varied paragraph lengths, emphasis, and clear conceptual bridges. The output should feel like an insightful article.\n- **Drop empty sections**: If a chapter has no \"common misreadings\" or \"argument structure\" worth discussing, completely ignore those prompts.\n\n**Don't:**\n- **Never use generic template headers** like \"Where this chapter sits\", \"Core Viewpoints\", \"Key Information\", or \"How the author argues\" in the final output unless they naturally fit the flow.\n- **Don't force a 9-part list.**\n- **Don't make it look like a standardized form.** If it looks like a form being filled out, "},{"path":"references/invocation-prompts.md","content":"# How Jin should invoke deeptutor\n\nUse this skill when you want a **content-driven, original-text-first, chapter-level deepdive** that feels worth saving.\n\n## Best default prompt\n- `Use deeptutor to do a content-driven deepdive of Chapter 1 of Supercommunicators. Start from the original text, show me what this chapter is really doing, explain the core mechanism and what most readers miss, then give me comprehension checks. Save it to Obsidian automatically.`\n## If you want closer reading / deep chapter mode\n- `Use deeptutor in deep chapter mode. Don't give me a neat summary. Read the original text first, then unpack the chapter's structure, tension, examples, hidden logic, and likely misreadings.`\n## If you want the strongest personalized mode\n- `Use deeptutor like a close reading teacher + strategist. Make it content-driven, not format-driven. Focus on what makes this chapter distinct, what the author is really doing, and why it matters.`\n## If you want to move faster\n- `Use deeptutor to read Chapter 2 next, keep it content-driven, and save the deepdive to Obsidian.`\n## If you want quiz mode too\n- `Use deeptutor to deepdive Chapter 1, save it to Obsidian, and then generate a quiz that tests understanding rather than surface recall.`"}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":null,"editorialQuality":{"score":100,"threshold":65,"status":"thin","wordCount":1757,"uniquenessScore":41,"reasons":["uniqueness-below-45"]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-11T16:29:26.056Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-11T16:29:26.056Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-11T20:57:59.660Z","emptyReason":null},"items":[{"id":"8ebccd8e-3863-4187-8355-c3f14e1f9edf","entityType":"agent","canonicalPath":"/agent/iofficeai-aionui","slug":"iofficeai-aionui","name":"AionUi","description":"Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!","url":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-10-09T19:11:12.944Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"b917f68a-ebff-438e-84f8-3f4b2494c0bc","entityType":"agent","canonicalPath":"/agent/activepieces-activepieces","slug":"activepieces-activepieces","name":"activepieces","description":"AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents","url":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-15T02:22:12.426Z","createdAt":"2026-02-25T03:38:12.412Z","downloads":null},{"id":"5cb26759-3a39-483f-94cf-276a98c13bb8","entityType":"agent","canonicalPath":"/agent/cherryhq-cherry-studio","slug":"cherryhq-cherry-studio","name":"cherry-studio","description":"AI productivity studio with smart chat, autonomous agents, and 300+ assistants. 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