speckit-clarify

You can identify spec gaps by running a targeted clarification workflow that analyzes functional scope, data models, and UX flows, then asks up to 5 highly specific questions to extract missing details and encode answers directly back into the spec.

The best way to reduce downstream rework in product management workflows is to enforce structured spec clarification sessions, embedding accepted answers immediately into the active specification to ensure testable acceptance criteria before implementation begins.

You clarify non-functional requirements and integration points by applying a structured clarification workflow to your active feature spec, which generates targeted questions covering these specific attributes to guide planable implementation.

Yes, you need a .specify directory structure because the clarification workflow applies its gap analysis and atomic updates to project specs located within that specific folder hierarchy.

Yes, you can apply atomic updates to a feature spec during a clarification session, as the workflow embeds accepted answers into a Clarifications section and updates the FEATURE_SPEC incrementally after each step.

Automated gap analysis for requirements is limited to asking up to 5 highly targeted clarification questions per session, requiring manual user input to resolve ambiguities and encode the exact answers back into the specification.