speckit-clarify

Spec clarification works by analyzing your feature spec for underspecified areas, generating up to 5 targeted questions about requirements and constraints, then mapping your answers back into the spec as structured updates within a persistent Clarifications section.

You resolve underspecified requirements by generating up to 5 targeted clarification questions about scope and data models, then encoding the accepted answers directly back into the feature spec as atomic, structured updates with per-session logging.

The best way to log clarifications is maintaining a persistent Clarifications section within the feature spec that records per-session logs and applies atomic updates after each accepted answer to ensure traceability of requirement changes.

Yes, you can generate targeted questions to cover non-functional constraints. The clarification workflow analyzes your feature spec and surfaces gaps across requirements, scope, UX flow, data models, and non-functional constraints simultaneously.

Yes, spec clarification works without external dependencies. The workflow operates independently to analyze feature specifications, identify underspecified areas, and encode structured updates directly into the spec using a self-contained clarification process.