speckit-checklist

Generating a requirement quality checklist validates requirement quality before coding by mapping checklist items to spec sections and highlighting missing gaps. This prevents underspecified feature requirements from reaching implementation by ensuring clarity, completeness, and traceability.

Requirement traceability maps each checklist item to specific sections within your spec documents to ensure coverage. A structured checklist helps enforce this traceability by identifying missing gaps and verifying that every feature description has clear, complete requirements before development begins.

Generate a requirements checklist from spec-kit documentation by reading `.specify/spec.md`, `.specify/plan.md`, and `.specify/tasks.md`. The system captures domain signals and scope boundaries, asks up to three context-aware questions, and outputs numbered CHK IDs grouped by quality dimensions under `checklists/`.

Yes, the requirement validation tool supports existing checklist files by appending new entries. It creates or appends to domain-specific files under the `checklists/` directory, numbering CHK IDs sequentially and grouping new items by quality dimensions like completeness, clarity, and edge-case coverage.

The best way to review feature specs for completeness and edge-cases is applying a dynamically generated checklist that targets those specific quality dimensions. By digesting plans and task lists to capture risk indicators, the checklist guides focused validation and flags missing coverage ahead of development.

Your feature requirement checklist needs context-aware questions to refine intent, scope, and required rigor before crafting the final validation. Asking up to three questions derived from user phrasing ensures the generated checklist accurately captures domain signals and scope boundaries for focused requirement validation.