SKILL

workflows

The workflow for AI-assisted development: complexity detection (LOW/MEDIUM/HIGH), problem-type routing, branch strategy across repositories, and the create - analyze - implement - archive flow for a spec. Use when: starting work on a spec, deciding how much analysis a task needs, planning a change that spans several projects, checking which branch belongs where. Do NOT use for: the spec files' own layout (use the spec-structure skill), how to run tests (that is the testing rule).

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原文涵盖的主题

  • Workflows for AI-assisted development
  • Table of contents
  • Complexity detection
  • LOW complexity (Quick Fix)
  • MEDIUM complexity
  • HIGH complexity
  • Problem type routing (Quick Reference)
  • Branch strategy

Complexity detection LOW complexity (Quick Fix) MEDIUM complexity HIGH complexity Problem type routing (Quick Reference) Branch strategy The spec workflows See also -- Principle: Match the scope of the documentation to the complexity of the task. Grading: the grade is set once the code has been read, by the risk of the change. The criteria and two worked examples are in aide-analyze's complexity-and-analysis.md, section "Classification", and nowhere else. Each level below says what its grade means for the analysis and for the documents. Analysis scope: Read ONLY the mentioned file Documentation: Short and concise (< 200 lines total) Estimate: Minutes to hours (< 2 hours) -- Analysis scope: Find files related to the component/module Find related tests and usage sites, and stop there Documentation: Moderate detail (100-300 lines total) Estimate: Hours to days (2-16 hours) -- Analysis scope: Search the codebase broadly for patterns Categorize files by complexity Analyze API impact (frontend - backend) Identify edge cases and risks Documentation: Comprehensive analysis (300-800 lines total) Estimate: Days to weeks (1-10 days) -- Start every problem type from the project's OWN documenta

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ragnarwestad/aide
源文件
core/skills/workflows/SKILL.md
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