# Case 05321

> Book Summarizer

- Skill: `knownasnaffy/case-05321` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add knownasnaffy/case-05321`
- Raw SKILL.md: https://api.skillmd.com/api/skills/knownasnaffy/case-05321/raw
- Safety review: pending (external: skill-scanner PASS, skillspector CAUTION)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: knownasnaffy (https://skillmd.com/u/knownasnaffy)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/knownasnaffy/case-05321

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# Book Summarizer

Use this skill for requests like:

- "Summarize this book at a 20% compression ratio"
- "Generate a substantial summary and verify the ratio"
- "Produce the summary in batches and validate the final total"

## Rules

- Default target ratio: `0.20`
- Default tolerance: `0.02`
- Accept only summaries between `18%` and `22%` of the original word count
- Output must be in user's language of choice (e.g., pt-BR)
- If the ratio is outside the allowed range, do not import the summary
- In chat-only mode, if the source is very large, generate the summary in multiple batches and merge them before validation
- All packaged helper scripts live in `scripts/` inside this skill folder

## Workflow

1. Start from a local plain-text book file or a downloaded Project Gutenberg text.
2. Count the source words with `python scripts/book_tools.py count <original_file>`.
3. Compute the target summary length with `python scripts/book_tools.py target <original_file> --ratio 0.20`.
4. If the source is too large for one reply, split it with `python scripts/split_book.py <original_file> 3000`.
5. Draft summary batches in order, preserving chronology and section fidelity.
6. Merge the batches with `python scripts/book_tools.py aggregate <summary_file> <batch_files...>`.
7. Validate the final ratio with `python scripts/verify_summary_ratio.py <original_file> <summary_file>`.

## Key Files

- `scripts/book_tools.py`
- `scripts/split_book.py`
- `scripts/verify_summary_ratio.py`
- `SKILL.md`

## Notes

- The packaged scripts use only the Python standard library.
- Run the commands from the skill folder, or use explicit paths if you call them from elsewhere.
- For very large books, prefer the automated pipeline over single-turn chat drafting.
- In chat-only mode, books above roughly 80k words should be summarized over multiple turns; do not pretend a single short draft satisfies the 20% rule.