What problem does it solve? Designing a pricing engine from raw business requirements is error-prone: teams mix calculation logic with business conditions, lose historical reproducibility, and silently assume policies. This Skill guides a structured mapping from domain requirements to a complete, implementable pricing archetype model with explicit decisions and auditability. ## Core Features & Use Cases - Fit Test & Complexity Assessment: Determines whether the pricing archetype applies and classifies the domain into complexity levels 1-9 before any modeling begins. - Full Model Design: Produces Calculator layer, Component tree (Simple/Composite), Validity versioning with half-open intervals, Applicability conditions, context Parameters, and product-pricing mapping scenarios (1:1 through N:M). - Decision Sanity Check: Enumerates every modeling decision and traces it to requirements, clarifying answers, or explicit assumptions, with mandatory Unmapped Concepts reporting. - Use Case: Given EV charging station requirements (startup fee, per-kWh rate, time surcharge, night discount, VAT, changing tariffs), the Skill outputs a complete component tree with calculators, validity rules, and reproducible historical pricing. ## Quick Start Ask the AI to map your pricing domain requirements into a pricing archetype model, for example by describing what is priced, which factors affect the price, and what business questions the system must answer.
