What problem does it solve? Users often ask for what they think they should want rather than what they actually need, and building on those unstated assumptions locks in the wrong solution. This Skill closes the gap between the stated ask and the real intent before any plan, spec, or code exists, when changing direction is still cheap. ## Core Features & Use Cases - Hypothesis-Driven Interviewing: States a one-sentence hypothesis with an explicit confidence number, then asks one focused question at a time with a guess attached so the user can react instead of generating answers from scratch. - Want vs. Should-Want Detection: Probes convention-signaling answers ("scalable", "best practice") with questions like "what would you want if you didn't have to justify it?" - Confirmed Intent Restatement: Produces a structured restatement (Outcome, User, Why now, Success, Constraint, Out of scope) gated on an explicit yes, with a 95% confidence stop test. - Use Case: A user says "build me a dashboard for our metrics." Instead of proposing chart libraries, the Skill interviews them and discovers the real need is a personal experiment tracker list, avoiding building the wrong artifact entirely. ## Quick Start Ask the agent to interview you about your request before starting any planning or implementation work.
