What problem does it solve? Feature specifications often contain vague requirements, missing decisions, and ambiguous terminology that cause rework during planning and implementation. This Skill systematically scans a spec for underspecified areas and encodes the answers directly back into the spec file. ## 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 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 implementation planning on a new feature spec, run this Skill to resolve open questions about security posture, data constraints, and 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 find and resolve its ambiguities.
