speckit-clarify

To clarify ambiguous feature specifications, you can generate targeted questions that identify underspecified areas across functional, data, and UX categories. This process scopes inquiries to high-impact categories and encodes answers back into the spec.

Resolving underspecified requirements involves running an interactive questioning loop capped at five questions. This structured approach detects ambiguity across taxonomy areas and records answers under a dedicated Clarifications section for traceability.

A capped questioning loop works by prompting up to five targeted clarifying questions one at a time. It detects ambiguity across multiple taxonomy areas and automatically augments the feature specification with audit-friendly answers.

Yes, you can automatically update your feature spec with clarification answers. The system records session history and applies safe, audit-friendly updates to ensure traceability between the questions and answers.

The main limitation of automated specification clarification is the strict five-question limit per session. This cap scopes questions to the most impactful categories but may require multiple sessions to fully resolve extensive ambiguities in complex workflows.

Yes, spec clarification works alongside existing quality assurance workflows through programmable integration. It enforces structured response formats and records targeted clarifications, reducing rework and ensuring traceability within your spec workflow.