speckit-clarify

To identify ambiguities in a feature specification, you can analyze the document to detect coverage gaps and generate targeted clarification questions. This refines requirements to ensure specifications are precise and actionable before execution.

The best way to refine requirements for AI-driven feature development is to generate targeted clarification questions from your feature specs. This highlights missing details in data handling or user roles, ensuring clearer implementation guidance.

You generate clarification questions for incomplete feature specs by running an analysis process that detects unclear areas. It produces up to 5 impactful questions to resolve ambiguities and updates the spec directly.

Yes, you need version-controlled spec files and YAML hook systems to automate updates and validation. This integration ensures your specification analysis and clarification process functions correctly within your workflow.

Your feature specification lacks actionable guidance because it contains unresolved ambiguities and missing details. Generating targeted clarification questions resolves these coverage gaps, making the spec precise before execution.

Yes, you can highlight coverage gaps in data handling and user roles by analyzing your feature specs. The process detects unclear areas and generates targeted clarifications to refine the overall requirements.