What problem does it solve? Users often ask for conventional solutions ("build me a dashboard") that don't match what they actually want, and agents silently fill in ambiguous requirements with assumptions. This Skill closes the gap between the stated ask and the real intent before any plan, spec, or code exists, when switching costs are still zero. ## Core Features & Use Cases - Hypothesis-driven questioning: 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 detection: Probes sophistication-signaling answers ("scalable", "clean", "best practice") with the question "what would you actually want if you didn't have to justify it?" - Confirmed intent output: Produces a structured restatement (Outcome / User / Why now / Success / Constraint / Out of scope) gated on an explicit yes, with optional persistence to .teikk/intent/[topic].md. - Use Case: A user says "build me a dashboard for our metrics." Two interview rounds reveal the actual need is a personal experiment tracker list, not a dashboard — preventing an entirely wrong build. ## Quick Start Ask the agent to interview you one question at a time about what you actually want before it starts planning or writing any code.
