Use before finishing a change, or when asked to clean up, review for slop, drift, stale docs, or duplicated rules — runs the deterministic unslop lint and, for prose-level slop, delegates to the unslop-reviewer agent.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
cradle unslop --diff（作業ツリーの差分）か --all（全体）を走らせ、error を全部直す。warn は理由を持って残すか直す。unslop-reviewer エージェントをバックグラウンドで起動し、対象（差分 / ディレクトリ）を渡す。レポートの指摘は提示で終えず直す。cradle unslop。还没有评价。欢迎分享你的使用感受。
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Use when adding or changing REST endpoints or the OpenAPI contract — deriving endpoints from the Lean commands and views, writing documents/codebase/openapi.yaml first, then regenerating the backend controller interfaces and the frontend client.
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Use after a backend build succeeds or whenever authentication, authorization, actor/identity handling, external service calls (IdP, JWKS, DB, clock), logging, observability, configuration or error contracts are in play — delegates to the backend-design-reviewer agent for a design-quality review of the current branch.
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Use when it is time to make the backend follow the Lean model — regenerate Kotlin from Lean, implement the generated interfaces (UseCase, QueryService, Repository, Entity), wire every generated contract test, make the build green, then run the design and SQL reviews. Backend comes after the human confirmed the screens.
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Use when you need the current position in the Lean spec-driven pipeline, or any deterministic check of a Cradle project — status, golden regression, Lean layer walls, regeneration impact, unslop lint, ddd cleanup. Runs the scripts under scripts/ and reports their output verbatim.
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Use to start a new product on Cradle or to add the Cradle skeleton to an existing repository — writes cradle.json, the project-facts instruction (.apm/instructions/project.instructions.md), documents/{ddd,ai-notes,infra-design,codebase} templates, CI, and a compiling Lean executable-spec scaffold with a minimal example domain, mockup and CLI.
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Use when the product owner asks where the project stands, what to do next, or which phase of the Lean spec-driven pipeline is current — runs cradle status and proposes exactly one next step.
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