When an AI agent must move beyond simple retrieval or classification to handle a problem that requires intermediate judgments, Multi-Step Reasoning is the agentic skill that decomposes the problem and chains inference steps toward a conclusion or actionable direction. It can break a complex question into smaller steps, connect evidence and constraints across those steps, and produce intermediate results that support a final answer, diagnosis, comparison, or course of action. ...