
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
Turn any technical book, document folder, or collection of sources into a unified agent skill — ready to study, reference, and use while you work in GitHub Copilot CLI, Amp, or Claude Code.
Why · What it generates · Beyond books · How it works · Usage · Install · FAQ · Performance · Architecture · Changelog
24×–51× fewer tokens than dumping the book into context to answer one question, measured on real books (how it's measured).
How it works, in 3 steps:
/book-to-skill ./my-book.pdf/my-book replication and it reads the right chapter and answers from the real content, no hallucination.
You buy a great technical book. You read it once. Three months later you can't remember chapter 7 existed.
The usual workarounds don't help:
book-to-skill solves this by turning the book into a structured skill your agent loads on demand.
Once installed, you just type /your-book-slug replication and the agent reads the right chapter and answers from the actual content. No hallucination. No digging through PDFs. The book becomes part of your workflow.
Works with any host that supports the open Agent Skills standard — GitHub Copilot CLI, Amp, and Claude Code all read the same SKILL.md format.
Running /book-to-skill your-book.pdf (or a folder, glob, or list of files) creates a full skill in your agent's skills directory (~/.copilot/skills/<slug>/ for Copilot CLI, ~/.agents/skills/<slug>/ for Amp or cross-agent, ~/.claude/skills/<slug>/ for Claude Code):
| File | Purpose | Size |
|---|---|---|
SKILL.md |
Core mental models + chapter index | ~4,000 tokens |
chapters/ch01-*.md … |
One file per chapter, loaded on-demand | ~1,000 tokens each |
glossary.md |
Every key term, alphabetically sorted with chapter refs | ~1,500 tokens |
patterns.md |
All techniques, algorithms, and design patterns | ~2,000 tokens |
cheatsheet.md |
Decision tables and quick-reference rules | ~1,000 tokens |
Chapter files are loaded on-demand — they don't count against the skill budget until you ask about that topic.
The name says "book", but the input is any structured prose. The same extraction works on knowledge you own and re-read constantly:
docs/ folder into one skill and ask it while you code.If you re-open a document often enough to wish you'd memorized it, it's a candidate.
A PDF-reading agent doesn't just read — it navigates: it re-fetches the ToC, backtracks, and re-processes all of it on every turn. book-to-skill pays that structuring cost once, at conversion, so queries stay proportional to the answer — 24×–51× fewer tokens than dumping the book into context, measured on real books.
📊 Full methodology, numbers, and per-book tables → docs/PERFORMANCE.md
Two halves: a deterministic Python extractor (document → clean text + metadata) and a spec-driven generator (your agent follows SKILL.md to turn that into a structured skill). On-demand chapter files keep the loaded skill small.
🔧 Full walkthrough (Steps 0–10, extraction modes, token budgets) → docs/HOW_IT_WORKS.md
/book-to-skill <path|folder|glob> [skill-name] — plus analyze-only, generate-from-analysis, and update/fold-in modes.
▶️ All modes and examples → docs/USAGE.md
# Agent skill (registers /book-to-skill) — clone into your skills folder:
git clone https://github.com/virgiliojr94/book-to-skill.git ~/.claude/skills/book-to-skill
# (Copilot CLI: ~/.copilot/skills/ · Amp/cross-agent: ~/.agents/skills/)
📥 All hosts, optional extractors, and the standalone CLI → docs/INSTALL.md
Common questions — "why not just dump the PDF?", cost, privacy, non-book inputs, multi-file books.
❓ Answers → docs/FAQ.md
The extractor tries tools in order per format and uses the first available. If nothing is installed, it tells you which command to run. Plain text, Markdown, reStructuredText and AsciiDoc need no extra deps.
Check your setup in one command:
python3 scripts/extract.py --checkprints which extractors are installed for every format and the exact command to install anything missing — no file needed.
PDF — choose by book type:
| Book type | Tool | Install | Speed |
|---|---|---|---|
| Text-heavy (prose, few tables) | pdftotext (poppler) |
sudo apt install poppler-utils |
⚡ instant |
| Text-heavy fallback | pypdf |
pip3 install pypdf |
⚡ instant |
| Text-heavy fallback | pdfminer.six |
pip3 install pdfminer.six |
⚡ instant |
| Technical (code, tables, formulas) | docling |
pip3 install docling |
~1.5s/page |
Before extraction begins, the skill asks you whether the book is technical or text-heavy and picks the right tool automatically. Docling preserves markdown tables and code blocks; pdftotext is faster for prose-only books.
EPUB:
| Tool | Install | Quality |
|---|---|---|
ebooklib + beautifulsoup4 |
pip3 install ebooklib beautifulsoup4 |
⭐⭐⭐ Best |
stdlib zipfile |
built-in — no install needed | ⭐⭐ Always available |
Other formats:
| Format | Tool | Install |
|---|---|---|
| DOCX | python-docx (fallback: stdlib ZIP/XML) |
pip3 install python-docx |
| HTML | beautifulsoup4 (fallback: stdlib html.parser) |
pip3 install beautifulsoup4 |
| RTF | striprtf (fallback: regex) |
pip3 install striprtf |
| MOBI / AZW / AZW3 | Calibre ebook-convert (external app, not pip) |
https://calibre-ebook.com/download |
| TXT / Markdown / reStructuredText / AsciiDoc | built-in | — |
book-to-skill/
├── SKILL.md # Skill definition + step-by-step instructions (the generator spec)
├── scripts/
│ ├── extract.py # Thin entrypoint wrapper
│ └── extractor/ # Modular extraction package
│ ├── config.py # Extensions, paths, dependency constants
│ ├── dependencies.py # optional-dep probing + --check
│ ├── exceptions.py # ExtractionError (per-source failures, batch-safe)
│ ├── utils.py # CLI parsing, multi-source resolution, chapter detection, runner
│ └── parsers/ # Format-specific parsers (pdf, epub, docx, html, rtf, calibre, text)
├── tools/
│ ├── discovery_tax.py # measures token cost vs context-dump / discovery loop
│ └── validate_skill.py # checks a generated SKILL.md against host rules (--lens claude|copilot|amp)
├── tests/ # pytest suite (extraction, detection, discovery tax)
├── docs/
│ ├── PERFORMANCE.md # measured benchmarks, discovery tax, cost
│ └── ARCHITECTURE.md # pipeline + component map
├── CHANGELOG.md # release history (semver)
├── CONTRIBUTING.md # dev setup, PR conventions, release process
├── SECURITY.md # vulnerability reporting
└── README.md # This file
book-to-skill ships no book content — not a single page. It's a converter you point at files you already own.
When in doubt, follow the license or terms of the source document. This project is a tool; how you use it is on you.

book-to-skill is free and MIT-licensed, maintained on personal time. If it saves you tokens or study hours, consider sponsoring its upkeep: PR reviews, multilingual fixes, releases, and docs.
Become a sponsor → github.com/sponsors/virgiliojr94
Every sponsor is listed in BACKERS.md. Thank you for keeping open, privacy-first tooling alive. ✨
MIT — applies to the converter (code + skill definition) in this repository, not to any book or document you process with it.
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