When a task requires understanding how a system, design, or scenario may behave before committing resources or decisions, Simulation & Modeling equips an AI agent to construct, configure, and execute computational representations of that system. The skill involves defining assumptions, variables, relationships, and constraints; running model-based experiments; and generating outputs such as projected states, performance metrics, sensitivity results, or comparative scenario behavior. Its value lies in allowing safe, repeatable exploration of complex dynamics, alternative designs, and hypothetical conditions that may be costly, risky, or impractical to test directly. ...