What problem does it solve? Feature specifications often contain vague requirements, missing decisions, and unresolved ambiguities that cause rework during planning and implementation. This Skill systematically scans a spec for underspecified areas and encodes clarified answers directly back into the spec file. ## Core Features & Use Cases - Structured Ambiguity Scan: Evaluates the spec across a taxonomy of categories including functional scope, data model, non-functional requirements, edge cases, and terminology. - Interactive Questioning Loop: Asks up to 5 high-impact clarification questions one at a time, each with a recommended option or suggested answer. - Incremental Spec Updates: Writes each accepted answer into a Clarifications section and updates the relevant spec sections atomically, then re-validates the requirements checklist. - Use Case: Before running speckit-plan on a new feature, run this Skill to resolve open questions about security posture, scale targets, and edge-case handling so the plan is built on confirmed decisions. ## Quick Start Ask the assistant to run the speckit-clarify skill to review the current feature spec and resolve its ambiguities before planning.
