Read Book

/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

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:

{
  "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:

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