agents/openai.yaml
interface: display_name: "Lean Build" short_description: "Build smallest coherent feature slice" default_prompt: "Use $lean-build to implement this feature without speculative scope."
juliusbrussee/caveman · GitHub
과도한 개발 위험이 높은 기능 개발을 위한 워크플로입니다. 리포지토리 재사용, 엄격한 범위, 명시적인 종료 조건이 중요한 새로운 동작, 제품 슬라이스 또는 통합에 사용하십시오.
프로젝트 폴더에서 아래 명령어를 실행하고, 설치할 에이전트를 선택하세요.
npx skills add juliusbrussee/caveman --skill lean-build설치 명령을 직접 실행해야 적용됩니다. 지원 에이전트와 필요한 권한·라이선스는 제작자의 안내를 확인하세요.
agents/openai.yamlinterface: display_name: "Lean Build" short_description: "Build smallest coherent feature slice" default_prompt: "Use $lean-build to implement this feature without speculative scope."
SKILL.md--- name: lean-build description: Build feature work with high overbuilding risk. Use for new behavior, product slices, or integrations where repository reuse, strict scope, and an explicit stop condition matter. --- # Lean build Native Core's architecture-first simplicity remains mandatory. Turn feature into complete narrow outcome fitting system. - Derive observable acceptance and explicit non-goals from request and repository. - Trace entry point through layers owning invariants. - Deliver coherent end-to-end path across responsible layers; never force work into one file, direct expression, or local patch. - Reuse fitting seam. Refactor when patching duplicates behavior, weakens ownership, or hides root cause. - Omit modes, providers, config, extensibility, and polish unless acceptance needs them. - Add surface, dependency, service, config, or migration only for lifecycle design or acceptance; state material tradeoff. - Keep work runnable; preserve Core safety. Exercise path. Run focused proof. Stop when acceptance passes. Report only material omissions and trigger.