/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):
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
By page count for PDFs without TOC: 50 pages per chunk
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:
{
"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:
- Read chunk N (
Read tool with pages: for PDF, full file for text/MD)
- Extract per the chosen mode (see
references/output-modes.md for templates)
- 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:
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:
- Copy the final
notes.md (with the second-brain-compatible frontmatter at top) to ${SECOND_BRAIN_VAULT:-$HOME/Documents/SecondBrain}/raw/highlights-<slug>.md
- Tell the user the path
- 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.
1---2name: read-book3description: 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).4---5
6# /read-book — Extract structured notes from books and long PDFs
7
8Sibling to `watch-video`. Same content-consumption pattern: ingest → chunk → extract → optionally capture to second-brain.
9
10## Step 1 — Parse input
11
12Accept:
13- **PDF**: file path (Claude reads PDFs natively in chunks via `Read pages:"X-Y"`)
14- **EPUB / MOBI**: file path (needs `pandoc` or `ebook-convert` to extract — see `references/sources.md`)
15- **Markdown / .txt**: file path (read directly)
16- **Pasted text**: just use what was pasted
17- **URL** to public-domain text: `WebFetch` (Project Gutenberg, archive.org, etc.)
18
19Detect type from file extension. If ambiguous, ask.
20
21## Step 2 — Parse mode
22
23| Invocation | Mode | What you get |
24|---|---|---|
25| `/read-book <input>` | **notes** (default) | Chapter-by-chapter: TL;DR + key concepts + quotes + action items + frameworks |
26| `/read-book <input> summary` | summary | Whole-book TL;DR (1 paragraph) + 3–5 key takeaways + who-it's-for |
27| `/read-book <input> quotes` | quotes | Pull-quote highlights only, with chapter context and page refs |
28| `/read-book <input> study` | study | Notes mode + 10–20 spaced-repetition Q&A cards |
29
30If the book is long (>200 pages) and mode is unspecified, default to `notes` but warn it'll take many tool calls.
31
32## Step 3 — Get the text + chunk
33
34See `references/sources.md` for per-source ingestion. Output of this step: text content + a chunking plan.
35
36**Chunking strategy** (hybrid, in priority order):
37
381. **By chapter** if a TOC exists (PDF with bookmarks, EPUB/MOBI converted via pandoc preserves chapter headers)
39 - Use `pdfinfo <pdf> | grep "Pages"` for PDFs
40 - Use `pdftotext -layout <pdf> | grep -i "^chapter\|^part"` for chapter detection, or read TOC from page 1–5
41 - EPUB: after `pandoc <epub> -o tmp.md`, chunks are between `# Chapter X` headers
42
432. **By page count** for PDFs without TOC: 50 pages per chunk
44
453. **By character count** for text/markdown: 30,000 chars per chunk (~7,500 words)
46
47Save the chunking plan as `~/Documents/books/<author>-<title-slug>-<YYYY-MM-DD>/chunks.json`:
48
49```json
50{
51 "source": "<path>",
52 "title": "<book title>",
53 "author": "<author>",
54 "type": "pdf",
55 "total_pages": 287,
56 "chunking": "by-chapter",
57 "chunks": [
58 {"i": 0, "label": "Introduction", "pages": "1-12"},
59 {"i": 1, "label": "Chapter 1: The Problem", "pages": "13-32"},
60 ...
61 ]
62}
63```
64
65## Step 4 — Read each chunk
66
67Loop:
681. Read chunk N (`Read` tool with `pages:` for PDF, full file for text/MD)
692. Extract per the chosen mode (see `references/output-modes.md` for templates)
703. Append the chunk's notes to `~/Documents/books/<workdir>/notes-<NNN>-<label-slug>.md`
71
72For PDFs, **don't read the whole book in one call** — Claude's PDF tool maxes around 10 pages. Process chunks individually.
73
74If a chunk fails to extract anything useful (e.g., it's mostly diagrams or front-matter), log the skip and continue.
75
76## Step 5 — Aggregate into final notes file
77
78Combine all chunk notes into a single `~/Documents/books/<workdir>/notes.md` matching the mode's full-book template (see `references/output-modes.md`).
79
80Top of the file always has the metadata block + the second-brain-compatible frontmatter:
81
82```markdown
83source: <file path or URL>
84captured: YYYY-MM-DD
85type: book
86book_title: <title>
87author: <author>
88mode: notes
89chunks: <count>
90chunking: <strategy>
91
92# <title> by <author>
93
94## TL;DR
95<2–3 sentences>
96
97## Key takeaways
981. ...
99
100## Chapter notes
101...
102
103## Cross-references (suggested for wiki)
104- Could connect to [[Longevity Biomarkers]] (per Chapter 3 discussion of biomarkers)
105- Could connect to [[Productivity & Systems]] (per Chapter 7 framework)
106```
107
108The cross-reference suggestions are advisory — they're suggestions for `/sb compile` to act on, not auto-applied. Keep responsibilities separated.
109
110## Step 6 — Offer to capture to second-brain
111
112Ask:
113
114> *"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."*
115
116Default is **ask**, never auto-write. If yes:
1171. Copy the final `notes.md` (with the second-brain-compatible frontmatter at top) to `${SECOND_BRAIN_VAULT:-$HOME/Documents/SecondBrain}/raw/highlights-<slug>.md`
1182. Tell the user the path
1193. Suggest: *"Run `/sb compile` later to merge this into wiki pages — the cross-reference suggestions in the footer are starting points."*
120
121If the user skips capture, the workdir still has everything — they can grab the file later.
122
123## Step 7 — Report
124
125In chat:
126- One-line headline: `<title> · <author> · <total_pages or word count> · <mode> · <chunks processed>`
127- Workdir path
128- The TL;DR section
129- For `notes` / `study` modes: brief list of top 3 takeaways
130- For `quotes` mode: top 3 quotes
131- If captured to second-brain: that path too
132
133## Modes (quick invocations)
134
135| Invocation | Mode | Behavior |
136|---|---|---|
137| `/read-book <input>` | notes | Full pipeline, default mode |
138| `/read-book <input> summary` | summary | Just TL;DR + key takeaways (1 read pass for short books, sampled chapters for long) |
139| `/read-book <input> quotes` | quotes | Chapter-by-chapter, but only output quotes |
140| `/read-book <input> study` | study | Notes + Q&A spaced-rep cards |
141| `/read-book <input> --capture` | (any) | Skip the ask step, auto-write to second-brain raw/ |
142| `/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`. |
143| `/read-book <input> --render html` | (any) | Same as above but HTML |
144
145## Composes with
146
147- `second-brain` — primary integration: writes `highlights-<slug>.md` to `raw/`. Then `/sb compile` merges into wiki pages.
148- `deep-research` — when a research question turns up a book, `/read-book` is the next step. Notes feed back into the research brief.
149- `business-brainstorm` — when scoring an idea (e.g., business books on similar models), read-book provides the structured evidence.
150- `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.
151- `slide-deck` — book takeaways → talk material (book talk pattern).
152- `watch-video` — sibling skill, same content-consumption pattern. Audiobook? Use `watch-video transcript` mode.
153- `nonfictionskills` / `fictionskills` — when researching to *write* a book, this skill reads the comp titles.
154
155## Error handling
156
157| Failure | Response |
158|---|---|
159| EPUB/MOBI without pandoc / ebook-convert | Tell the user: `brew install pandoc` or `brew install calibre` (calibre includes `ebook-convert`) |
160| PDF is scanned (no text layer) | Suggest OCR first: `brew install ocrmypdf && ocrmypdf <pdf> <pdf-ocr.pdf>` |
161| PDF has no detectable TOC | Fall back to 50-page chunks. Note in the metadata. |
162| Book is unusually long (>500 pages) | Warn cost / time, ask if the user wants summary mode instead of full notes |
163| Chunk extraction empty | Skip the chunk, log, continue. Don't fail the whole run. |
164
165## Notes on quality
166
167- **Don't summarize beyond recognition.** A 30-page chapter should produce 8–15 lines of notes, not 3. Compression is good; flattening is bad.
168- **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.
169- **Quotes are sacred.** When you flag a quote, copy it verbatim. Note the page if possible.
170- **Action items are explicit.** If the book makes you think "I should do X," flag it explicitly. These are the highest-leverage outputs.
171- **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.