What problem does it solve? Feature specifications often contain ambiguities, missing decisions, and vague requirements that cause rework during planning and implementation. This Skill systematically detects those gaps and encodes the answers directly back into the spec before planning begins. ## Core Features & Use Cases - Structured Ambiguity Scan: Evaluates the spec against a taxonomy covering functional scope, data model, UX flows, non-functional requirements, integrations, 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, then re-validates the requirements checklist. - Use Case: Before running /speckit-plan on a new feature spec, run this Skill to resolve open questions about security posture, data constraints, or acceptance criteria so downstream tasks are built on confirmed decisions. ## Quick Start Ask the assistant to run the speckit-clarify workflow on the current feature spec to identify and resolve ambiguities before planning.
