What problem does it solve? Institutional trading teams need consistent, evidence-grounded market regime classification instead of narrative macro storytelling, price predictions, or ad-hoc trade ideas when assessing risk posture. ## Core Features & Use Cases - Regime Classification: Assigns one of four verdicts (Normal, Fragile, Transition, Stressed) based on volatility, breadth, rates, credit, liquidity, correlation, and trend behavior. - Scenario Branching: Builds plausible macro, policy, volatility, or liquidity scenario branches with catalysts, implications, and invalidation triggers, without invented probabilities. - Structured Output: Enforces a mandatory nine-section response structure plus a 1-to-5 scorecard covering regime confidence, transition risk, liquidity stress, cross-asset coherence, and scenario coverage. - Use Case: A strategist receives mixed signals—narrow breadth, rising volatility, stable credit—and uses this Skill to produce a Fragile verdict with transition triggers and explicit handoffs to risk and catalyst-monitoring agents. ## Quick Start Use the regime-scenario-analyst skill to classify the current market regime from the supplied volatility, breadth, rates, and credit data and outline the key scenario branches.