What problem does it solve? Specs and PRDs often contain gaps, ambiguities, and contradictions that only surface during implementation. This Skill generates structured quality checklists that audit requirements themselves — not code — so issues are caught before development begins. ## Core Features & Use Cases - Requirements Quality Checklists: Produces scored checklist items across categories like completeness, clarity, consistency, acceptance criteria quality, and edge case coverage, each linked to spec sections (FR-XXX, SC-XXX) or marked as [Gap], [Ambiguity], [Conflict], or [Assumption]. - Interactive Gap Resolution: Walks through each identified gap with the user, presents options with trade-offs, and updates spec.md upon resolution until the checklist reaches 100% completion. - Workflow Integration: Validates prerequisites via bash/PowerShell scripts, records phase completion in .specify/context.json, commits results, refreshes the dashboard, and recommends the next workflow step with a model tier hint. - Use Case: After writing a feature spec, run this Skill to audit user stories and acceptance criteria, resolve missing requirements interactively, and gate the feature before implementation. ## Quick Start Ask the AI to run the iikit-03-checklist skill to review the current feature spec and generate a requirements quality checklist.
