speckit-clarify

You can eliminate ambiguity in feature specifications by running a structured scan that evaluates functional and technical requirements, then engaging in an interactive clarification workflow to resolve critical missing decision points.

The best way to find underspecified requirements is to apply an automated ambiguity scan that checks feature documentation against a taxonomy of non-functional and functional requirements, prioritizing gaps for high-impact clarification.

Yes, scanning feature documentation for ambiguities requires a project structure containing a .specify directory and a valid feature specification file to execute the interactive clarification workflow and update the spec.

An interactive clarification loop updates feature specification files by prompting prioritized questions to the user, then automatically integrating the agreed-upon answers directly into the spec file and re-validating project checklists for consistency.

Yes, you can automate the validation of technical and non-functional requirements in software engineering by executing a structured ambiguity scan that automatically evaluates feature specs and re-validates project checklists to ensure implementation readiness.

You should use an automated ambiguity scan for software requirements during the specification phase when precise requirement definition is critical, ensuring underspecified areas are identified and resolved to reduce downstream rework.