When deployed by AI agents to improve decisions under constraints, Optimization is the agentic skill of searching for best or near-best solutions among feasible alternatives according to defined objectives. It takes inputs such as goals, limits, costs, resources, and candidate options, then applies mathematical, heuristic, or search-based methods to compare configurations and identify solutions that maximize or minimize desired outcomes. The skill is useful when a task requires efficient allocation, scheduling, routing, parameter tuning, or trade-off analysis at a scale or speed beyond manual exploration. ...