Creator · coreyhaines31
Last updated · Sep 5, 2026
When you want to read and extract structured notes from a book — PDF, EPUB, MOBI, markdown, .txt, pasted text, or URL to a public-domain work. Reads in chunks (by chapter when a TOC exists, by 50-page blocks otherwise), extracts per-chapter TL;DR + key concepts + quotes + action
Sandbox only
Install targets
Codex install prompt
Install the "read-book" agent skill from https://github.com/coreyhaines31/makerskills/tree/main/skills/read-book. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: When you want to read and extract structured notes from a book — PDF, EPUB, MOBI, markdown, .txt, pasted text, or URL to a public-domain work. Reads in chunks (by chapter when a TOC exists, by 50-page blocks otherwise), extracts per-chapter TL;DR + key concepts + quotes + action items + frameworks, and offers to capture to second-brain raw/ as a highlights- file. Four modes — notes (default, chapter-by-chapter), summary (whole-book TL;DR + 3–5 takeaways), quotes (pull-quote highlights only), study (notes + Q&A spaced-rep prep). Triggers on "/read-book," "read this book," "extract notes from this PDF," "what's in this book," "summarize this ebook," "pull quotes from this." Sibling to watch-video (same content-consumption pattern, different medium). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"coreyhaines31-read-book","task":"Install read-book","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add coreyhaines31/makerskills --skill read-book
Maintenance
fresh
3d since push
Risk
Safe to try
No critical security risks found. The skill writes to local book-note directories and only writes to the second-brain vault after explicit user confirmation.
GitHub quality
772
76/100 Quality · 77/100 Trust
Coverage tags
Review notes
No critical security risks found. The skill writes to local book-note directories and only writes to the second-brain vault after explicit user confirmation. · Minor security consideration: file paths and book metadata-derived slugs should be sanitized before use in shell commands or filesystem paths to avoid path traversal or command injection from untrusted book metadata.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
772 GitHub stars
Repo activity
772 stars, 62 forks
Maintenance
3d since push
License
MIT
Install
npx skills add coreyhaines31/makerskills --skill read-book
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add coreyhaines31/makerskills --skill read-bookDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20read-book%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20read-book%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/coreyhaines31-read-book/install
Agent should check
Copy prompt
Task: Use read-book in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20read-book%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/coreyhaines31-read-book/install
Install command: npx skills add coreyhaines31/makerskills --skill read-book
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/coreyhaines31-read-book/install
LLM text format
/api/skills/coreyhaines31-read-book/install?format=text
Find alternatives
/api/skills/search?q=read-book&limit=3
Agent prompt
Use read-book for this task. Review https://www.openagentskill.com/api/skills/coreyhaines31-read-book/install, then install with: npx skills add coreyhaines31/makerskills --skill read-bookRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/coreyhaines31-read-book
LLM text
/api/registry/manifest/coreyhaines31-read-book?format=text
Install alias
/api/registry/install/coreyhaines31-read-book
Recommend
/api/registry/recommend?task=Use%20read-book%20in%20an%20agent%20workflow&limit=3
Agent fit
Document processing
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Document processing
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO772 GitHub stars
Stars/forks activity
INFO772 stars, 62 forks; issue activity unavailable in current metadata
Recent maintenance
PASS3d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: read-book description: When you want to read and extract structured notes from a book — PDF, EPUB, MOBI, markdown, .txt, pasted text, or URL to a public-domain work. Reads in chunks (by chapter when a TOC exists, by 50-page blocks otherwise), extracts per-chapter TL;DR + key concepts + quotes + action items + frameworks, and offers to capture to second-brain raw/ as a highlights- file. Four modes — notes (default, chapter-by-chapter), summary (whole-book TL;DR + 3–5 takeaways), quotes (pull-quote highlights only), study (notes + Q&A spaced-rep prep). Triggers on "/read-book," "read this book," "extract notes from this PDF," "what's in this book," "summarize this ebook," "pull quotes from this." Sibling to watch-video (same content-consumption pattern, different medium). metadata: version: 0.1.0 ---
# /read-book — Extract structured notes from books and long PDFs
Sibling to `watch-video`. Same content-consumption pattern: ingest → chunk → extract → optionally capture to second-brain.
## Step 1 — Parse input
Accept: - **PDF**: file path (Claude reads PDFs natively in chunks via `Read pages:"X-Y"`) - **EPUB / MOBI**: file path (needs `pandoc` or `ebook-convert` to extract — see `references/sources.md`) - **Markdown / .txt**: file path (read directly) - **Pasted text**: just use what was pasted - **URL** to public-domain text: `WebFetch` (Project Gutenberg, archive.org, etc.)
Detect type from file extension. If ambiguous, ask.
## Step 2 — Parse mode
| Invocation | Mode | What you get | |---|---|---| | `/read-book <input>` | **notes** (default) | Chapter-by-chapter: TL;DR + key concepts + quotes + action items + frameworks | | `/read-book <input> summary` | summary | Whole-book TL;DR (1 paragraph) + 3–5 key takeaways + who-it's-for | | `/read-book <input> quotes` | quotes | Pull-quote highlights only, with chapter context and page refs | | `/read-book <input> study` | study | Notes mode + 10–20 spaced-repetition Q&A cards |
If the book is long (>200 pages) and mode is unspecified, default to `notes` but warn it'll take many tool calls.
## Step 3 — Get the text + chunk
See `references/sources.md` for per-source ingestion. Output of this step: text content + a chunking plan.
**Chunking strategy** (hybrid, in priority order):
1. **By chapter** if a TOC exists (PDF with bookmarks, EPUB/MOBI converted via pandoc preserves chapter headers) - Use `pdfinfo <pdf> | grep "Pages"` for PDFs - Use `pdftotext -layout <pdf> | grep -i "^chapter\|^part"` for chapter detection, or read TOC from page 1–5 - EPUB: after `pandoc <epub> -o tmp.md`, chunks are between `# Chapter X` headers
2. **By page count** for PDFs without TOC: 50 pages per chunk
3. **By character count** for text/markdown: 30,000 chars per chunk (~7,500 words)
Save the chunking plan as `~/Documents/books/<author>-<title-slug>-<YYYY-MM-DD>/chunks.json`:
```json { "source": "<path>", "title": "<book title>", "author": "<author>", "type": "pdf", "total_pages": 287, "chunking": "by-chapter", "chunks": [ {"i": 0, "label": "Introduction", "pages": "1-12"}, {"i": 1, "label": "Chapter 1: The Problem", "pages": "13-32"}, ... ] } ```
## Step 4 — Read each chunk
Loop: 1. Read chunk N (`Read` tool with `pages:` for PDF, full file for text/MD) 2. Extract per the chosen mode (see `references/output-modes.md` for templates) 3. Append the chunk's notes to `~/Documents/books/<workdir>/notes-<NNN>-<label-slug>.md`
For PDFs, **don't read the whole book in one call** — Claude's PDF tool maxes around 10 pages. Process chunks individually.
If a chunk fails to extract anything useful (e.g., it's mostly diagrams or front-matter), log the skip and continue.
## Step 5 — Aggregate into final notes file
Combine all chunk notes into a single `~/Documents/books/<workdir>/notes.md` matching the mode's full-book template (see `references/output-modes.md`).
Top of the file always has the metadata block + the second-brain-compatible frontmatter:
```markdown source: <file path or URL> captured: YYYY-MM-DD type: book book_title: <title> author: <author> mode: notes chunks: <count> chunking: <strategy>
# <title> by <author>
## TL;DR <2–3 sentences>
## Key takeaways 1. ...
## Chapter notes ...
## Cross-references (suggested for wiki) - Could connect to [[Longevity Biomarkers]] (per Chapter 3 discussion of biomarkers) - Could connect to [[Productivity & Systems]] (per Chapter 7 framework) ```
The cross-reference suggestions are advisory — they're suggestions for `/sb compile` to act on, not auto-applied. Keep responsibilities separated.
## Step 6 — Offer to capture to second-brain
Ask:
> *"Want to capture this to second-brain? I'll write it to `${SECOND_BRAIN_VAULT:-$HOME/Documents/SecondBrain}/raw/highlights-<slug>.md` matching your vault's `highlights-` type prefix."*
Default is **ask**, never auto-write. If yes: 1. Copy the final `notes.md` (with the second-brain-compatible frontmatter at top) to `${SECOND_BRAIN_VAULT:-$HOME/Documents/SecondBrain}/raw/highlights-<slug>.md` 2. Tell the user the path 3. Suggest: *"Run `/sb compile` later to merge this into wiki pages — the cross-reference suggestions in the footer are starting points."*
If the user skips capture, the workdir still has everything — they can grab the file later.
## Step 7 — Report
In chat: - One-line headline: `<title> · <author> · <total_pages or word count> · <mode> · <chunks processed>` - Workdir path - The TL;DR section - For `notes` / `study` modes: brief list of top 3 takeaways - For `quotes` mode: top 3 quotes - If captured to second-brain: that path too
## Modes (quick invocations)
| Invocation | Mode | Behavior | |---|---|---| | `/read-book <input>` | notes | Full pipeline, default mode | | `/read-book <input> summary` | summary | Just TL;DR + key takeaways (1 read pass for short books, sampled chapters for long) | | `/read-book <input> quotes` | quotes | Chapter-by-chapter, but only output quotes | | `/read-book <input> study` | study | Notes + Q&A spaced-rep cards | | `/read-book <input> --capture` | (any) | Skip the ask step, auto-write to second-brain raw/ | | `/read-book <input> --render pdf` | (any) | Also render the final `notes.md` to PDF via pandoc (uses `~/.local/share/makerskills/render.css`). See `references/output-modes.md`. | | `/read-book <input> --render html` | (any) | Same as above but HTML |
## Composes with
- `second-brain` — primary integration: writes `highlights-<slug>.md` to `raw/`. Then `/sb compile` merges into wiki pages. - `deep-research` — when a research question turns up a book, `/read-book` is the next step. Notes feed back into the research brief. - `business-brainstorm` — when scoring an idea (e.g., business books on similar models), read-book provides the structured evidence. - `decide` — when a decision hinges on what an authority has written (e.g., "should I take VC money?" → read Naval / Jason Cohen), `read-book` extracts the relevant chapter. - `slide-deck` — book takeaways → talk material (book talk pattern). - `watch-video` — sibling skill, same content-consumption pattern. Audiobook? Use `watch-video transcript` mode. - `nonfictionskills` / `fictionskills` — when researching to *write* a book, this skill reads the comp titles.
## Error handling
| Failure | Response | |---|---| | EPUB/MOBI without pandoc / ebook-convert | Tell the user: `brew install pandoc` or `brew install calibre` (calibre includes `ebook-convert`) | | PDF is scanned (no text layer) | Suggest OCR first: `brew install ocrmypdf && ocrmypdf <pdf> <pdf-ocr.pdf>` | | PDF has no detectable TOC | Fall back to 50-page chunks. Note in the metadata. | | Book is unusually long (>500 pages) | Warn cost / time, ask if the user wants summary mode instead of full notes | | Chunk extraction empty | Skip the chunk, log, continue. Don't fail the whole run. |
## Notes on quality
- **Don't summarize beyond recognition.** A 30-page chapter should produce 8–15 lines of notes, not 3. Compression is good; flattening is bad. - **Preserve specifics.** Names, numbers, dates, quotes — keep them. The whole point is later-the user can grep "what did Andy Wilkinson say about X" and find it. - **Quotes are sacred.** When you flag a quote, copy it verbatim. Note the page if possible. - **Action items are explicit.** If the book makes you think "I should do X," flag it explicitly. These are the highest-leverage outputs. - **Frameworks deserve their own bullets.** When the author names a framework (e.g., "the 9-dimension filter," "Save the Cat beats"), call it out by name in the notes.
Source provenance
Decision snapshot
772 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for read-book, ready for a manual X post.
A practical pick for design or creative work: read-book: When you want to read and extract structured notes from a book — PDF, EPUB, MOBI, markdown, .txt, pasted text, or URL to a... 772 stars https://www.openagentskill.com/skills/coreyhaines31-read-book?ref=x
Listing + install path for read-book: https://www.openagentskill.com/skills/coreyhaines31-read-book?ref=x Install: npx skills add coreyhaines31/makerskills --skill read-book
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to coreyhaines31 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/coreyhaines31-read-book?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/coreyhaines31-read-book?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/coreyhaines31-read-book/audit)
[](https://www.openagentskill.com/skills/coreyhaines31-read-book?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)coreyhaines31
@coreyhaines31
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsPermission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness