What problem does it solve? Feature specifications often contain ambiguity, missing decisions, and vague requirements that cause rework during planning and implementation. This Skill systematically scans a spec for gaps and resolves them through focused clarification questions before planning begins. ## Core Features & Use Cases - Structured Ambiguity Scan: Evaluates the spec across 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 questions one at a time, each with a recommended option or suggested answer based on best practices. - Incremental Spec Updates: Writes each accepted answer into a ## Clarifications section and updates the relevant spec sections atomically, preserving formatting. - Use Case: Before running /speckit.plan on a new feature spec, run this Skill to resolve open questions about security posture, data constraints, and acceptance criteria so the plan is built on validated decisions. ## Quick Start Ask the assistant to run the speckit clarify workflow on the current feature spec to identify and resolve ambiguities before planning.
