speckit-clarify

To resolve ambiguity in a feature specification, you can scan the document against a structured taxonomy covering functional, technical, and non-functional requirements to identify gaps and clarify decision points.

Taxonomy-based requirements clarification is a process that evaluates feature docs against comprehensive categories to systematically identify missing decision points and record clarifications directly into the file.

You can automate spec updates by using a clarification workflow that automatically writes resolved answers directly into the feature specification file while maintaining a session-based audit trail.

Yes, the specification clarification process satisfies integration requirements for automated spec updates, checklist validation, and workflows utilizing project-specific extension hooks.

During interactive specification clarification, you are presented with up to five high-impact, prioritized questions to ensure alignment before task planning and implementation begins.

The best way to refine underspecified areas before task planning is to apply a structured ambiguity scan that targets missing decision points and records clarifications interactively into the document.