Rechercher

PythonReactSEOPDF
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 Étoiles du dépôt7 Forks du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

Voir la source ↗Guides

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.

Exemples

Consultez les exemples du dépôt source.

Voir la source ↗

Historique source

Date d’indexation
2026-01-20
Mise à jour de l’index
2026-01-26
Branch
main

Les dates concernent ce répertoire. Consultez le dépôt pour l’historique du code.

GitHub ↗

chat Comments (0)

chat_bubble_outline

No comments yet. Be the first to share your thoughts!