Process EPUB and PDF books locally with concept extraction and chapter summaries.
npx skills add https://github.com/S23Web3/Vault --skill book-analyzer
Please help me install this Agent Skill. Skill: book-analyzer Source: https://github.com/S23Web3/Vault/tree/main/claude/skills/book-analyzer Command: npx skills add https://github.com/S23Web3/Vault --skill book-analyzer
Analyzing trading, ML, and finance books often requires external resources or repeated manual effort. This tool enables fully local, offline analysis of EPUB and PDF books, providing deep concept extraction and structured summaries without API credits.
Provide the path to your book folder and run the local analyzer to generate per-chapter summaries and a JSON report.
High-intent search queries and answers about installing and using this skill.
You can analyze EPUB and PDF books completely offline by running the local analyzer on your book folder, which performs concept extraction and generates JSON and Markdown summaries without requiring any API calls.
Chapter-level concept extraction for trading and ML books is a local analysis process that identifies core ideas, detects code and formulas, and generates structured summaries for each section without external resources.
Yes, you can rate and summarize books locally to get reading recommendations. The analyzer generates 1-10 ratings and creates JSON and Markdown summaries to facilitate quick evaluation and comparison of analyzed titles.
Yes, the local book analyzer tracks previously analyzed titles to avoid re-analysis unless explicitly requested, maintaining a local record of processed books to save time and computational effort.
The best way to extract code and formulas from finance books locally is using a standalone offline analyzer that processes EPUB and PDF files to detect code snippets and generate chapter-by-chapter Markdown outputs.
A limitation of offline book analysis for machine learning textbooks is that it relies entirely on local processing without external API calls, meaning all concept extraction and summary generation must run on your own computing resources.
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