What problem does it solve? Vague user requests cause AI agents to route to the wrong workflow or build the wrong thing, wasting entire execution phases. This Skill scores request ambiguity across four signals and produces structured, option-rich clarifying questions so routing decisions are grounded in confirmed intent. ## Core Features & Use Cases - 4-Signal Ambiguity Scoring: Scores scope ambiguity, missing paths, multiple intents, and session context to classify requests into Tier 0 (auto-route), Tier 1 (routing summary), or Tier 2 (full clarification suite). - Two Operating Modes: SIMPLE mode uses a light 3-5 file research pass; DEEP mode spawns a research subagent to populate question options with real file paths and concrete values. - Structured Question Generation: Produces multi-choice questions across 8 standard dimensions (scope, success criteria, risk, priority, autonomy, constraints, and more) with recommended defaults, rendered via the AskUserQuestion tool. - Use Case: A user says "make the app faster" — the Skill scores this 4/4 ambiguous, triggers Tier 2, and generates concrete questions about which performance dimension, target metrics, and acceptable tradeoffs before any agent is routed. ## Quick Start Ask the orchestrator to clarify intent for a request like "refactor the billing flow to add credit top-up support" before routing it to an execution agent.
