read-book — Claude Code skill: what it does, how to install
Reads books in PDF, EPUB, MOBI, or text formats by chunks, extracts chapter takeaways, and formats notes for your knowledge vault.
npx skills add coreyhaines31/makerskills --skill read-book -a claude-codeWhat read-book does
The skill parses books from PDF, EPUB, MOBI, Markdown, plain text files, or public-domain URLs. It splits content into manageable pieces. If a table of contents exists, it splits by chapter; otherwise it processes 50 pages per chunk for PDFs or 30,000 characters for plain text. Each chunk is saved under ~/Documents/books/ before the agent runs extraction.
EPUB and MOBI formats require pandoc or ebook-convert on your system. Without them, extraction fails. The skill provides four modes: detailed chapter breakdowns with notes, a brief overview with summary, pull quotes via quotes, and 10–20 flashcard questions with study. Adding the --capture flag writes the final notes.md directly into your second-brain raw directory.
What it helps with
- extract structured chapter notes and action items from long PDFs
- generate spaced-repetition study cards from book contents
- pull verbatim quotes with page references from EPUB or MOBI files
- export formatted book summaries directly into a second-brain vault
Example prompts for the agent
- /read-book ~/Documents/books/clean-code.pdf
- /read-book book.epub summary
- /read-book notes.txt study --capture
How to install read-book
1Skills CLI (Vercel)
npx skills add coreyhaines31/makerskills --skill read-book -a claude-code2Manually: put the files in place
~/.claude/skills/read-book/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/read-book/
1Skills CLI (Vercel)
npx skills add coreyhaines31/makerskills --skill read-book -a codex2Manually: put the files in place
.agents/skills/read-book/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add coreyhaines31/makerskills --skill read-book -a cursor2Manually: put the files in place
.cursor/skills/read-book/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install coreyhaines31/makerskills read-book2Manually: put the files in place
.github/skills/read-book/SKILL.md1Skills CLI (Vercel)
npx skills add coreyhaines31/makerskills --skill read-book -a gemini-cli2Platform CLI
gemini skills install https://github.com/coreyhaines31/makerskills --path skills/read-bookManually: put the files in place
.devin/skills/read-book/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add coreyhaines31/makerskills --skill read-book -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about read-book
How to install read-book in Claude Code?
Run npx skills add coreyhaines31/makerskills --skill read-book -a claude-code.
What does the read-book skill do?
It chunks long books or PDFs, extracts summaries, key concepts, or quotes, and saves Markdown notes ready for note-taking vaults.
What dependencies are needed for ebook processing?
Parsing EPUB and MOBI files requires pandoc or ebook-convert. For PDF inspection and chapter detection, the skill uses pdfinfo and pdftotext.
Source text
SKILL.md · MIT
---
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: 0.1.1
---
# /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: fetch it with your agent's URL-fetch tool or `curl` (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.
© coreyhaines31 · MIT · coreyhaines31/makerskills