Turn any technical book PDF into a Claude Code skill β ready to study, reference, and use while you work.
---
description: "How book-to-skill is built: a deterministic Python extractor plus a spec-driven agent generator. Pipeline, component map, and the design tradeoffs behind both."
seo_title: "Architecture - How book-to-skill Extracts and Generates"
---
# Architecture
book-to-skill has two halves: a **deterministic extractor** (Python) and a
**spec-driven generator** (the agent following `SKILL.md`). The extractor turns any
document into clean text + metadata; the agent turns that into a structured skill.
```
ββββββββββββββββββββββββββββ EXTRACTOR (Python, deterministic) βββ
documents β scripts/extract.py (shim) β book_to_skill/ β
(pdf/epub/ β ββ cli.py Β· utils.py CLI parse Β· multi-source Β· runner β
docx/...) β ββ config.py supported extensions Β· paths Β· deps β
β β ββ dependencies.py optional-dep probing Β· --check report β
βΌ β ββ sanitize.py strip invisible/zero-width Unicode β
ββββββββββββ ββ parsers/ pdf Β· epub Β· docx Β· html Β· rtf Β· β
β calibre Β· text (best tool, fallback)β
β output β <tempdir>/book_skill_work/ β
β full_text.txt (all sources merged, source-marked) β
β metadata.json (pages, words, tokens, chapters, ToC) β
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β
βΌ
ββββββββββββββββββββββββββββ GENERATOR (agent, follows SKILL.md) β
β Step 1.5 ask content type β BOOK_TYPE (technical | text) β
β Step 2/2.5 extract Β· cost estimate Β· confirm β
β Step 2.6 REPL-style probing for large books (grep/sed, no β
β full re-reads) β
β Step 3 analyze structure (title, author, chapters, ToC) β
β Step 4 purpose β DEPTH (reference | study) β
β Step 7 per-chapter summaries (budget = BOOK_TYPE Γ DEPTH) β
β Step 8 glossary Β· patterns Β· cheatsheet (decision layer) β
β Step 9/9.5 SKILL.md core + indexes β
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β
βΌ
<SKILLS_HOME>/<slug>/ β chosen per host + scope:
~/.copilot/skills/ GitHub Copilot CLI (personal)
~/.agents/skills/ Copilot CLI or Amp (cross-agent, personal)
~/.claude/skills/ Claude Code (personal)
~/.openclaw/skills/ OpenClaw (personal, default state only)
$HERMES_HOME/skills/<category>/ Hermes Agent (personal)
.github/skills/ | .claude/skills/ | .agents/skills/ project-local (any host)
.hermes/skills/<category>/ Hermes project-local
skills/ OpenClaw workspace
~/.config/opencode/skills/ OpenCode (own root; on request)
.opencode/skills/ OpenCode project-local
scope: personal vs project-local (Step 5, BOOK_TO_SKILL_SCOPE)
SKILL.md core frameworks + chapter & topic index (~4K)
chapters/*.md on-demand, loaded only when asked
glossary.md terms
patterns.md techniques
cheatsheet.md decision rules / trees / trade-offs / tells
```
OpenClaw's shared `~/.agents/skills` compatibility root is discoverable only
when `OPENCLAW_STATE_DIR` is unset or uses the default `~/.openclaw`. A
non-default state uses its active `<state-dir>/skills` root instead; the
converter does not infer arbitrary `skills.load.extraDirs`.
## Design principles
1. **Extract structure, not summaries** β named frameworks, decision rules,
anti-patterns; never raw passages.
2. **Compile-time over runtime** β pay navigation/structuring once; at query time
load only the relevant chapter. See [Performance & Cost](performance.md).
3. **On-demand chapters** β `SKILL.md` stays small; chapter files cost tokens only
when read.
4. **Front-loaded `SKILL.md`** β most important content first (compaction truncates
from the end).
5. **Graceful degradation** β every format has a stdlib fallback; one bad source is
skipped, not fatal.
## Key components
| Path | Responsibility |
|------|----------------|
| `scripts/extract.py` | thin entrypoint shim β `book_to_skill.cli` (kept so old invocations keep working) |
| `book_to_skill/cli.py`, `utils.py` | CLI parsing, multi-source resolution, chapter/ToC detection, runner |
| `book_to_skill/parsers/` | one module per format (`pdf`, `epub`, `docx`, `html`, `rtf`, `calibre`, `text`) |
| `book_to_skill/config.py` | supported extensions, output paths, dependency map |
| `book_to_skill/dependencies.py` | optional-dependency probing + `--check` |
| `book_to_skill/sanitize.py` | strips zero-width / Unicode-tag-block characters from extracted text, and folds Kangxi radicals to their ideographs (see Security) |
| `tools/discovery_tax.py` | measures token cost vs context-dump / discovery loop |
| `tools/validate_skill.py` | checks a generated SKILL.md against host rules (`--lens claude\|copilot\|amp\|hermes\|openclaw`) |
| `tools/validate_skill.py` | checks a generated SKILL.md against host rules (`--lens claude\|copilot\|amp\|hermes\|opencode`) |
| `tools/scan_generated_skill.py` | advisory prompt-injection scan of a generated skill (see Security) |
| `SKILL.md` | the generator spec (Steps 0β10 + fold-in workflow) |
## Security
Untrusted documents flow into an agent's context and then into a generated skill
that later loads into other agents β a documentβcontext supply chain. The hardening
is layered:
- **Extraction sanitization** (`book_to_skill/sanitize.py`) β strips zero-width
(`U+200B/200C/200D/2060/FEFF`) and the Unicode tag block (`U+E0000βE007F`) from
every parser's output before metrics or `full_text.txt`, so invisible
document-borne instructions never reach the agent. Reports the removal count;
rejects a source with no visible content left.
- **CJK radical folding** (`book_to_skill/sanitize.py`) β PDFs whose embedded
font subset carries no correct Unicode mapping emit a Kangxi radical
(`U+2F00βU+2FDF`) where a character belongs, so a Chinese book extracts
"ε€ζβΌ" for "ε€ζε". Each radical in that block has a Unicode compatibility
decomposition, so the fold is NFKC applied to those code points only: the rest
of the text is passed through byte for byte. Nothing is removed, so it does
not count toward the security removal total. CJK Radicals Supplement
(`U+2E80βU+2EF3`) is deliberately not folded β Unicode defines no
decomposition for it, and some entries are ordinary kanji.
- **DOCX XXE / Billion-Laughs guard** (`parsers/docx.py`) β rejects any XML part
declaring a DTD or entities before parsing.
- **Subprocess argument-injection** β file paths are absolutised before reaching
`pdftotext` / `pdfinfo` / `ebook-convert`, so a `-`-leading filename can't be read
as a flag.
- **Generated-skill scan** (`tools/scan_generated_skill.py`) β an advisory step in
the generator (Step 9.5) that flags instruction-override phrases, model-control
tags, residual invisible Unicode, authority-widening frontmatter, and
exfiltration-shaped content across the generated `SKILL.md`, `chapters/*.md`,
`glossary.md`, `patterns.md`, and `cheatsheet.md`. Findings name only the rule and
file location β never the matched text.
- **CI** β CodeQL, Bandit (gate on HIGH), Zizmor, and dependency CVE review on PRs.
## Extending
- **New format** β add `book_to_skill/parsers/<fmt>.py`, register its extension in
`config.py`, wire dependency probing in `dependencies.py`, branch in
`utils.extract_single_file`.
- **New generation behavior** β edit the relevant Step in `SKILL.md`; keep it lean
and back the change with evidence (see CONTRIBUTING.md).