What problem does it solve? Research requests often arrive as vague topics ("look into X") that sprawl for weeks without converging. This Skill turns an ambiguous topic into a single, answerable research question tied to a real decision, a timebox, and explicit assumptions — before any research effort begins. ## Core Features & Use Cases - Decision Extraction: Interrogates the requester to find the choice, budget, or bet hiding behind the topic, so research output drives action. - Question Decomposition & Pinning: Splits tangled topics into descriptive, comparative, causal, predictive, and design questions, picks one, and pins every noun (population, metric, baseline, timeframe). - Answerability Gates & Assumptions Register: Checks evidence availability, timebox fit, and falsifiability, then records load-bearing assumptions as day-one checks. - Use Case: A VP asks to "look into on-call load." The Skill extracts the real decision (hire an SRE vs fix rotations), pins the question to pages-per-week across three rotations, sets a one-week timebox, and catches the false "pages ≈ load" assumption on day one. ## Quick Start Use the research-question-framing skill to turn "we should look into AI code review" into a scoped, decision-linked research question with a timebox and assumptions register.