speckit-clarify

To identify missing requirements in a feature specification, you scan the spec for ambiguity across scope, data modeling, UX flows, and non-functional requirements to surface targeted clarification questions before planning begins.

The best way to clarify vague feature specifications is interactively asking up to five high-impact questions that materially affect architecture and UX, then recording the accepted answers directly into the spec sections to reduce downstream rework.

You update a feature spec by interactively answering targeted clarification questions, which automatically writes the clarifications, acceptance criteria, and edge-case handling back into the appropriate sections of the active specification file.

No, the spec clarification process enforces a strict cap of up to five targeted questions to ensure only high-impact decisions affecting architecture, task decomposition, tests, and operational readiness are addressed.

No, you cannot use this workflow without PowerShell prerequisites because the clarification process requires executing the check-prerequisites.ps1 script within the .specify environment to validate the active feature spec setup.