What problem does it solve?
This Skill eliminates wasted effort from working with unclear, half-formed user ideas by running a targeted clarification loop before structured extraction or task planning, ensuring all downstream steps have the context they need to deliver accurate results.
Core Features & Use Cases
- Ambiguity Checklist: Automatically verifies if raw user input includes all required context (goal, target user, success signal, scope boundary, grounding) before proceeding.
- Scope Decomposition Gate: Splits multi-part requests covering multiple independent subsystems into separate pieces so you clarify one deliverable at a time instead of juggling multiple ambiguous asks.
- Guided Clarification Loop: Asks one focused, multiple-choice question at a time to resolve context gaps without overwhelming the user, with a mandatory readiness confirmation before moving to extraction.
- Use Case: If a user submits a vague request like "I want to add a feature to my side project app", this Skill walks through clarifying the exact feature, target user, success criteria, and scope to produce a clear, actionable brief for downstream planning.
Quick Start
Invoke the clarify-idea skill whenever a user submits a vague product or feature request that is missing key context like goals, target users, or success criteria.