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: `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 wi...