book-to-skill
A free tool that turns a whole technical book or manual into a compact reference your AI coding assistant can consult on demand, instead of you pasting huge chunks of the book into the chat every time.
🔗 Visit book-to-skill
Description
If you want an AI coding assistant to really know a specific book, manual, or internal documentation set, the naive approach — pasting the whole thing into the chat — burns enormous amounts of context and money. book-to-skill converts technical books, documentation, and source collections into structured 'agent skills': a compact summary file plus per-chapter references that the AI loads only when actually needed, instead of all at once.
It supports a wide range of input formats (PDF, EPUB, DOCX, TXT, Markdown, reStructuredText, AsciiDoc, HTML, RTF, MOBI), processes everything locally with no cloud uploads, and generates a skill.md file, per-chapter breakdowns, a glossary, and decision frameworks extracted from the source material. It follows the emerging open 'Agent Skills' standard so the output works across Claude Code, GitHub Copilot, and other compatible tools, and claims 24x-51x fewer tokens used compared to dumping raw documents into context. Built in Python 3 with optional extractors (Docling, pdftotext, pypdf, pdfminer, ebooklib, python-docx, beautifulsoup4), it's MIT-licensed with around 12.5k GitHub stars and 1.4k forks, and was ranked #10 Python repository of the day on Trendshift in May 2026.
💬 Our review
The short version: if you've ever tried to make an AI assistant deeply familiar with a specific technical book or internal docs and hit context-window or cost limits, book-to-skill's chapter-level, on-demand loading approach genuinely solves that, for free.
Compared to just pasting the source document into a long-context model (works, but expensive and wasteful — you pay for tokens you don't need for most questions), book-to-skill's claimed 24x-51x token reduction is a meaningful cost and speed improvement if accurate for your material, though actual savings will vary by document structure and how the AI actually queries it. Against paid documentation/RAG platforms that offer similar 'chat with your docs' functionality as a hosted service, book-to-skill is free, runs locally with no cloud uploads (a real privacy plus for proprietary internal documentation), and follows an open standard rather than locking you into one vendor's format. The tradeoff is you need to run the conversion yourself rather than getting a polished hosted UI, which is a fair trade for a developer but a bigger ask for a non-technical team.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Open-source (licence MIT), traitement 100% local, aucun coût
Pros
Réduction de tokens revendiquée de 24x à 51x vs contexte brut
Traitement 100% local, aucun upload cloud
Supporte de nombreux formats (PDF, EPUB, DOCX, HTML...)
Suit le standard ouvert Agent Skills, compatible plusieurs outils
Cons
Nécessite de lancer soi-même la conversion (pas de UI hébergée)
Gains de tokens à vérifier sur son propre corpus
Projet communautaire, pas de support commercial