speckit-clarify

Spec clarification resolves ambiguous feature specifications by scanning for gaps in data modeling, UX flows, and non-functional requirements, then asking up to five targeted questions to update the spec incrementally and prevent downstream rework.

Structured ambiguity scanning is a spec clarification process that reviews product requirements across goals, edge cases, integrations, and terminology consistency to identify missing decision points before implementation begins.

To update underspecified non-functional requirements, run an interactive clarification loop that asks constrained questions one at a time, then writes accepted answers directly back into the appropriate spec sections.

Yes, interactive Q&A resolves data modeling edge cases by asking exactly one targeted question at a time using multiple-choice or short answers capped at five words, then persisting the accepted choices into the spec.

Interactive spec clarification is limited to asking a maximum of five targeted questions per session, constraining answers to multiple-choice or five-word short responses, and recording incremental updates within a session trail under Clarifications.