speckit.clarify

Ambiguity detection in a feature specification is handled by analyzing the spec to identify logical gaps, missing constraints, and vague requirements. The skill generates up to five targeted clarification questions to resolve these underspecified areas.

The best way to clarify underspecified feature requirements is to generate structured, targeted questions that directly address logical gaps. This approach pinpoints missing constraints and records the clarifications directly in the specification file to improve accuracy.

Specification quality improves by identifying vague requirements and asking structured clarification questions. Recording answers directly within the spec file enhances comprehensiveness and reduces ambiguity for downstream feature engineering.

Yes, the clarification process is constrained to generating a maximum of five highly targeted questions. This limit ensures the ambiguity detection remains focused on the most critical underspecified areas within the feature specification.

Yes, specification clarification records resolved ambiguities directly in the spec file. This integration ensures the feature specification maintains its quality and accuracy without requiring external tracking for the generated questions.

Targeted questions should be used when a feature specification contains underspecified areas, missing constraints, or vague requirements. Generating structured questions reduces ambiguity and ensures comprehensive feature engineering before implementation begins.