deviation-impact-analysis
Turn "AI draft -> author edits" diffs into structured deviation items, an author-intent prompt, and a concrete propagation plan.
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
- Extract diff signals and cluster them into 5-20 deviation items (avoid noise).
- Summarize author intent in a short instruction that can drive future rewriting.
- Scan future outline/chapters/canon/ledger:
- list concrete touch points (file/section) that need change
- 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。
查看来源 ↗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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