speckit-clarify

To resolve ambiguities in product requirements, run an ambiguity and coverage scan on your existing feature spec to identify partial or missing areas, then collect up to five targeted clarifications to make the spec implementation-ready.

Spec clarification is the process of detecting underspecified areas in a feature spec and collecting targeted answers. It reduces rework by preventing missing decisions from causing misaligned implementation, acceptance tests, or architecture.

To clarify underspecified feature specifications, initiate a scan for ambiguity, answer strictly one targeted question at a time using multiple-choice or short free-form formats, and the system saves incremental spec updates after each accepted answer before a final validation pass.

Yes, the spec clarification process supports incremental updates by recording each accepted answer into a dedicated Clarifications section and immediately updating the most relevant parts of the existing feature spec to prevent contradictions.

A key limitation of this ambiguity reduction approach is that it asks a maximum of five high-impact questions, constraining free-form answers to five words or less, which may not fully resolve highly complex or deeply nested specification gaps.