spec-kitty-clarify

Ambiguities in a feature specification are identified through taxonomy-driven checks across functional scope, data models, interactions, non-functional quality attributes, and edge cases, generating targeted clarifications to reduce risk.

The best way to clarify underspecified requirements with stakeholders is an interactive workflow that surfaces gaps, asks single questions at a time from a prioritized queue, and records traceable decisions directly in the specification.

Plan readiness is determined by surfacing unresolved gaps from the clarification trail and providing explicit recommendations on whether to proceed to planning or defer until remaining specification ambiguities are answered.

Yes, you can update a feature spec with clarification answers because the workflow integrates live with the FEATURE_SPEC, preserving original formatting and traceability while exporting a validation-ready clarification trail.

Yes, this specification clarification approach limits questions by generating a prioritized queue of a maximum of five targeted questions, asking them one at a time to maintain focus and capture concrete decisions.

A limitation when checking edge cases in feature requirements is that the taxonomy-driven gap analysis relies entirely on the existing specification content, meaning entirely unstated out-of-scope behaviors may remain unresolved without active stakeholder input.