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deviation-impact-analysis

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

aevatarAI☆ 11 仓库 Stars7 仓库 Forks

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

查看来源 ↗使用指南

技能说明

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.

使用示例

查看来源仓库中的使用示例与配置说明。

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来源历史

收录时间
2026-01-20
索引更新时间
2026-01-26
Branch
main

收录与同步日期属于本站记录。源码修改历史请查看来源仓库。

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