speckit.clarify

You can identify underspecified areas in a feature specification by running an interactive clarification session that scans functional scope, data models, and edge cases to generate a prioritized queue of up to five targeted questions.

To clarify feature requirements and record answers, you accept responses during an interactive clarification session. The tool automatically integrates these accepted answers back into the Functional Requirements, Data Model, User Stories, and Edge Cases sections with versioned updates.

The best way to reduce downstream rework when writing feature specs is to apply a structured taxonomy that prompts targeted clarifications across non-functional attributes and integration dependencies, ensuring ambiguities are resolved before development begins.

Yes, you need an existing spec file. The clarification process requires a feature specification present at the repository path to function, as it uses this document as the base for generating questions and recording versioned updates.

Yes, the interactive clarification session generates a prioritized queue of a maximum of five targeted questions, ensuring the feature spec clarification process remains focused and manageable without overwhelming the user.