What problem does it solve? Reading long books and retaining their content is time-consuming, and manually taking structured chapter-by-chapter notes from PDFs or ebooks is tedious. This Skill automates chunked reading and produces organized notes, summaries, quotes, or spaced-repetition study cards. ## Core Features & Use Cases - Four extraction modes: notes (chapter-by-chapter TL;DR, key concepts, quotes, action items, frameworks), summary (whole-book TL;DR plus takeaways), quotes (verbatim pull-quotes with page references), and study (notes plus Q&A spaced-repetition cards). - Multi-format ingestion: handles PDF, EPUB, MOBI, markdown, plain text, pasted text, and public-domain URLs, with smart chunking by chapter, page count, or character count. - Second-brain integration: optionally captures the final notes file into a second-brain vault as a highlights file with compatible frontmatter and cross-reference suggestions. - Use Case: You have a 300-page business book as a PDF. Run the notes mode to get per-chapter summaries with verbatim quotes and action items, then capture the result into your Obsidian vault for later compilation into wiki pages. ## Quick Start Ask the agent to read the book at a given file path and extract chapter-by-chapter notes with key takeaways and quotes.
