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GitHub Skill

deviation-impact-analysis

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

aevatarAI☆ 11 Repository stars7 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

View source ↗Guides

Skill instructions

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.

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-01-20
Index updated
2026-01-26
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

GitHub ↗

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