speckit-clarify

To eliminate ambiguity in feature specifications, you can run a taxonomy-based analysis that identifies gaps across functional, domain, UX, and non-functional requirements. It interactively prompts you for high-impact decisions to ensure requirements are fully captured before implementation.

Finding missing requirements in feature documentation is best handled by scanning your specs against a comprehensive taxonomy. This structured ambiguity scan highlights underspecified areas and prompts a limited-scope questioning loop to resolve them.

Yes, clarifying feature specifications requires a project structure containing a .specify directory and a valid feature specification file. The skill scans this specific file structure to identify gaps and automatically update the document with clarified answers.

Automated clarification integrates answers by automatically updating the feature specification file with your resolved decisions. It also re-validates project checklists after the interactive questioning loop to ensure total alignment across your software development workflow.

You should use a structured taxonomy analysis for software requirements when you need high-fidelity requirements before implementation planning. It is specifically designed for software development workflows where hidden ambiguities and missing requirements could derail development.