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hellyguohellyguo/self-ai-spec/skills/full-analysis/SKILL.md

full-analysis

Skill8 starsChanged 17 days agoApache-2.0View on GitHub

按顺序编排完整分析流程:设计解构、代码审查、重复检测、问题侦测、定性评估。适用于对项目做全面体检并输出整体评估结论。

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SKILL.md

完整分析流程

对目标项目执行一次端到端的全面分析,按固定顺序串联各专项技能。

适用场景

  • 项目接手、交接前的整体体检
  • 技术债盘点与改造决策
  • 定期质量评估与基线建立

前置条件

  1. 确认目标项目根目录与源码范围。
  2. 确认是否已有历史分析产物;如有,按各技能的增量规则处理。
  3. 使用 skill long-term-task 连续执行,避免中途停顿。

执行顺序

各步骤存在依赖关系,不得调整顺序:

顺序技能主要输出依赖
1code-deconstructdocs/deconstruct/无
2code-reviewdocs/review/步骤 1 的模块与数据流
3code-detect-dupdocs/dup/步骤 1 的模块划分
4code-detect-problemdocs/detect/步骤 2、3 的结果
5qualitative-assessmentdocs/assessment/步骤 1 至 4 的全部输出

输出物

  • 设计解构文档与图
  • 代码审查报告
  • 重复代码报告
  • 问题评分与重构/重建方案
  • 系统定性评估报告

完成标准

  • 五个步骤均有产物且路径正确
  • 后续步骤引用了前序产物,结论不相互矛盾
  • 问题评分有明确依据,可从报告回溯到审查条目
  • 定性评估覆盖设计、开发、运维、非功能维度
  • 全部产物已 git 提交

注意事项

  • 单个步骤失败时,记录失败原因与影响范围,不得跳过后续步骤的前提依赖。
  • 分析结论必须可回溯到代码位置或量化数据,避免主观判断。

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