deviation-impact-analysis

---

name: deviation-impact-analysis description: Turn "AI draft -> author edits" diffs into structured deviation items, an author-intent prompt, and a concrete propagation plan.

When to use

• After author edits a chapter draft (especially via external editor like Cursor)
• Before auto-continue to future chapters

Outputs

• deviation_report.md (human readable summary)
• deviation_prompt.md (one-click prompt/instructions)
• change_impact_report.md (what future outline/chapters/canon/ledger will be affected)
• backup_options_report.md (conservative vs aggressive vs branch)

Structured deviation categories (must classify)

• plot / character / tone / info density / canon setting / timeline / style / pacing

Procedure

1. Extract diff signals and cluster them into 5-20 deviation items (avoid noise).
2. Summarize author intent in a short instruction that can drive future rewriting.
3. Scan future outline/chapters/canon/ledger:
   • list concrete touch points (file/section) that need change
4. Produce 2-3 backup routes and recommend one.