speckit-clarify

To reduce ambiguity in a feature spec, you can run a clarifying process that scans for underspecified functional, data, and UX requirements. It asks up to five targeted questions one at a time and writes the accepted answers directly back into the spec file to ensure planning readiness.

To resolve underspecified acceptance criteria, the workflow scans the active feature spec using a defined ambiguity taxonomy. It enforces a one-question-at-a-time interaction with constrained response formats to incrementally capture and save missing testable signals into your file.

Yes, you can use a spec-kit compatible workflow to clarify missing UX requirements. The process reviews your active feature spec across functional, data, and UX dimensions, then prompts you for specific clarifications to update the document and reduce implementation risk.

The best way to update a feature spec with clarifications is to use an incremental saving approach. The process records accepted answers into a session-specific Clarifications section within the FEATURE_SPEC file, saving after each response to prevent context loss during the specifying workflow.

Yes, the spec clarification process requires running repository prerequisite checks before scanning. This ensures the environment is properly configured to locate the active FEATURE_SPEC file and apply the defined ambiguity taxonomy for identifying underspecified areas.