speckit-clarify

To clarify feature specifications, scan requirements against a structured taxonomy to detect missing logic and edge cases, then generate targeted questions to resolve uncertainties before development begins.

Taxonomy-based ambiguity detection is a process that evaluates feature specifications against a comprehensive classification system to identify vague requirements and gaps in functional scope before implementation.

Yes, scanning feature specifications for missing requirements requires a valid spec-kit project structure containing a .specify directory to execute prerequisite checks and automatically update documentation.

Update feature specification files with clarified requirements by conducting interactive questioning to resolve uncertainties, then automatically integrating the answers back into the documentation to maintain a single source of truth.

Up to 5 high-impact clarification questions are generated for underspecified feature requirements to resolve uncertainties in functional scope, data models, and non-functional constraints.