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Category
Developer Tools
Rank
Pricing
Open Source
Platform
cli
Type
TOOL
Latest release
v1.4.0
Date

About

An open-source tool that converts technical books, docs, or document collections (PDF, EPUB, DOCX, etc.) into a structured Agent Skill for Claude Code, GitHub Copilot CLI, or Amp, generating per-chapter files, a glossary, and a cheatsheet that the agent loads on demand instead of dumping the whole book into context. Its own benchmarks claim 24x-51x fewer tokens than raw-context lookups for answering a single question.

What it does

book-to-skill treats document conversion like compilation. A local Python stage extracts and cleans text, detects structure, and records metadata. An agent then identifies frameworks, rules, examples, and anti-patterns, organizing them into a compact core plus topic-specific material fetched only when relevant.

Why it's ranked here

The design solves a real repeat-use problem with a clear split between deterministic extraction and agent-guided synthesis. It supports mixed source collections, local processing, several agent hosts, and incremental fold-ins. The efficiency case is documented with reproducible tooling, though the discovery comparison is explicitly a model rather than a live agent measurement.

What's good

Format handling degrades sensibly through optional extractors and built-in fallbacks. One failed source does not cancel a batch. Technical mode preserves tables and code that fast PDF extraction flattens. Chapter detection covers several writing systems, and generated material separates core concepts, chapter detail, terms, patterns, and decision aids.

Tradeoffs

The full conversion flow requires installation as an agent skill because the packaged command only extracts text. Scanned PDFs need a separate OCR pass, and text embedded in figures is not extracted. Technical PDF processing is much slower than prose extraction. Chapter detection can miss books whose headings lack recognizable chapter markers.

How to use it well

Use it for a book, standard, documentation set, or focused research cluster that you consult repeatedly while coding or writing. Choose technical extraction when tables and code matter, and fast text extraction for prose. It does not replace OCR, and it is not the best fit for shallow search across dozens of unrelated books.

Technical notes+

pyproject.toml defines a Hatchling package for Python 3.9 or newer, exposes book_to_skill.cli:main, and groups optional dependencies by format. scripts/extract.py remains a compatibility shim that configures UTF-8 streams and delegates to the packaged CLI. book_to_skill/utils.py contains multi-source orchestration, token estimation, multilingual chapter and table-of-contents detection, parser selection, and extraction error handling. book_to_skill/config.py centralizes supported extensions, temporary output locations, dependency names, and token heuristics. tools/discovery_tax.py can use tiktoken or a documented heuristic, reuses the extractor's structural detection, and labels its discovery-loop calculation as a model.

Observed

License
MIT
Primary language
Python
Runtime
Python 3.9 or newer
Packaging
Hatchling package with optional dependency groups for EPUB, PDF, DOCX, RTF, and technical extraction
Interfaces
Standalone extraction CLI and an Agent Skills workflow
Agent hosts
Claude Code, GitHub Copilot CLI, and Amp
Platforms
Linux, macOS, and Windows
Input formats
PDF, EPUB, DOCX, TXT, Markdown, reStructuredText, AsciiDoc, HTML, RTF, MOBI, AZW, and AZW3

Read from README.md, pyproject.toml, docs/404.md, docs/faq.md, docs/index.md, docs/usage.md, docs/install.md, docs/performance.md, docs/architecture.md, docs/how-it-works.md, scripts/extract.py, book_to_skill/cli.py, book_to_skill/utils.py, tools/discovery_tax.py, book_to_skill/config.py.

What it can do

  • Extract text from technical books or documents

    PDF, EPUB, DOCX, or document collectionExtracted text

  • Generate a structured Agent Skill file (SKILL.md)

    Extracted book/document textSKILL.md file

  • Generate per-chapter files

    Extracted book/document textPer-chapter files

  • Generate a glossary

    Extracted book/document textGlossary file

  • Generate a cheatsheet/pattern file

    Extracted book/document textCheatsheet or pattern file

Tags

claude-codeskillpdfbookknowledge-baseclipythoncopilot

Tech Stack

Python

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Editorially curated, with community endorsements as a secondary signal. Corrections welcome.