speckit-clarify

Resolve ambiguities in software feature specifications by applying a structured taxonomy of functional, technical, and non-functional requirements. This process uses guided inquiry to identify missing details and refines project documentation through an interactive clarification process.

Spec-driven development for incomplete requirements involves evaluating drafted specifications against a comprehensive taxonomy. It identifies missing criteria like error handling or edge cases and facilitates refinement through prioritized questioning to ensure implementation plans are robust.

Check feature specs for missing non-functional criteria by automatically evaluating them against a structured taxonomy of requirements. This guides you through prioritized questions to define behaviors for edge cases, ensuring alignment between documentation and implementation plans.

Clarify requirements for software specifications when a new feature spec is drafted but lacks detail on error handling, data models, or UX flows. Resolving these ambiguities early prevents costly rework by ensuring the implementation plan is complete.

Guided specification clarification works without external dependencies, operating independently to analyze feature specifications. It identifies missing requirements directly and integrates clarifications seamlessly into the specification file without requiring additional software engineering tools.