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Found 4 Skills
How to write Cavekit-quality kits that AI agents can consume effectively. Covers implementation-agnostic cavekit design, testable acceptance criteria, hierarchical structure, cross-referencing, cavekit templates, greenfield and rewrite patterns, cavekit compaction, and gap analysis. Trigger phrases: "write kits", "create kits", "cavekit this out", "define requirements for agents", "how to write kits for AI"
Reverse-engineer a SPEC document from an existing project. Analyzes code, config, tests, and structure to produce a comprehensive specification. Triggers on: code-to-spec, reverse spec, generate spec, 逆向规格, 生成规格文档, 生成设计文档, 生成设计方案, extract spec, document this project, what does this project do.
Add an implementation requirement to the ***implementation reqs*** section of a ***plain spec file. Use when the user wants to add non-functional requirements like technology choices, architectural constraints, coding standards, data formats, error handling strategies, or any HOW-to-build guidance to a .plain file.
Break down a functional spec that is too complex into smaller specs that each imply ≤ 200 lines of code. Use when analyze-if-func-spec-too-complex flags a spec as TOO COMPLEX, or when a spec is suspected of being too large.