speckit-clarify

Identify ambiguities in a feature specification by applying a structured ambiguity scan across functional scope, data model, UX flows, non-functional attributes, and external dependencies to surface gaps.

The best way to clarify requirements is generating a prioritized queue of up to five targeted questions, then incrementally integrating the concise answers into a dedicated Clarifications section in the spec to ensure testable outcomes.

Resolve underspecified areas by posing up to five targeted clarification questions about the spec, encoding the accepted answers back into the document, and preserving the structure to guide downstream validation.

Yes, requirement clarification works with existing feature specifications by scanning the active document for ambiguities, generating a targeted clarification queue, and appending a dedicated section without disrupting the original spec structure.

The limitation of automated specification gap analysis is that it surfaces up to five clarification questions per scan, requiring human input to answer them concisely and encode the accepted answers back into the spec for testable outcomes.