Book TOC Lab
SkillMediaDesign and pressure-test useful nonfiction book promises, scopes, recommendation loops, and takeaway-first tables of contents before drafting. Use when planning, outlining, scoping, restructuring, validating, or testing a practical book, guide, manual, course-like book, or other reader-outcome-focused long-form nonfiction.
Use Book TOC Lab in Claude, ChatGPT or Ahel Desktop
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Then ask your AI: use the Book TOC Lab skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/LVTD-LLC/skills/skills/book-toc-lab/SKILL.md and read by ahel’s review.
Treat a useful nonfiction book as a problem-solving product for a specific reader. The table of contents is the product design, not a decorative outline. Build and test the promise, scope, recommendation loop, and TOC before drafting so the manuscript has a clear job and useful progression.
Use this skill to produce or improve a book plan that answers:
- Who is this book for?
- What painful or valuable problem does it help them solve?
- What should be different for the reader after each chapter?
- What does the book deliberately leave out?
- Why would a satisfied reader recommend it to a specific person in a specific situation?
Resource Routing
Load only the files needed for the task:
| Need | Read |
|---|---|
| Core model, DEEP, promise, scope, recommendation loop | references/core/knowledge.md |
| Concrete planning and validation rules | references/core/rules.md |
| Before/after examples for scope and TOC titles | references/core/examples.md |
| Quick planning and review checklist | references/core/checklist.md |
| Step-by-step TOC design before drafting | workflows/design-toc.md |
| Step-by-step TOC validation with readers | workflows/validate-toc.md |
Fast Workflow
- Lock the reader promise before outlining.
- Define in-scope, out-of-scope, prerequisites, and depth lines.
- Write the recommendation story: trigger, recommender, recommended reader, and why this book is the obvious fit.
- Draft chapters as reader takeaways, not author topic buckets.
- Order chapters by reader progress: orientation, foundation, action, judgment, and integration.
- Pressure-test every chapter against the promise, reader outcome, missing steps, boredom risk, confusion risk, skepticism, and recommendability.
- Validate the TOC before drafting when practical.
Output Format
When asked to create or improve a TOC, return:
- Book brief: reader, problem, promise, scope, out-of-scope.
- Recommendation story: trigger, recommender, recommended reader, why this book.
- Recommended TOC with chapter-level reader problems and takeaways.
- Reader journey notes explaining the order.
- Risk list: missing prerequisites, vague chapters, likely confusion, likely boredom.
- Validation plan: 3-7 concrete ways to test the TOC before drafting.
Quality Bar
A good TOC should feel useful even before the book exists. A reader should be able to scan it and understand what the book helps them accomplish, whether it is for them, and why the chapter sequence makes sense.
Do not optimize for literary cleverness before usefulness. Clever titles are acceptable only after the reader promise and chapter takeaways are obvious.
Signals
- GitHub stars
- 1k
- Forks
- 316
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
book-toc-lab- Source
- github.com/hashgraph-online/awesome-codex-plugins
github.com/hashgraph-online/awesome-codex-plugins