transform

To turn feature requirements into an implementation plan, provide a source document containing deliberation outcomes or spike findings. The system translates this brief into a structured, phased workflow with explicit affected files, grounded in existing codebase patterns.

Requirements decomposition breaks down unstructured feature or chore briefs into concrete implementation units. It produces a dated plan file under docs/plans, detailing staged execution, required plan-hardening signals, and runtime verification closures.

Implementation planning uses codebase research by directing pre-planning retrieval from prior learnings and systematic repository investigation. This grounds the resulting actionable plan in existing patterns, reducing guesswork for downstream task decomposition.

Yes, you can use deliberation outcomes and spike findings for backlog generation by setting them as the input source path. The workflow processes these source documents to generate structured, review-ready implementation plans with risk signaling.

The best way to structure runtime verification and closure details is to generate a docs/plans output using automated requirement-to-action planning. This ensures every plan includes mandatory plan-hardening signals and explicit runtime verification expectations.

You need to generate a phased workflow with risk signaling after deliberation outcomes or spike findings are ready. This ensures review-ready safety by providing mandatory plan-hardening signals and clear execution posture for downstream tasks.