Agent Skills: The Missing Layer That Makes AI Agents Enterprise Ready

How Enterprises Encode Institutional Knowledge into AI Agents What Is an AI Agent? An AI agent is a system that uses a large language model (LLM) to reason, plan, and act to reach a goal. Unlike a simple chatbot that only answers questions, an agent can: Perceive its environment (user input, tool results, context) Decide what to do next (reason, plan, choose tools) Act by calling tools, APIs, or scripts Iterate until the task is done (ReAct: Reason → Act → Observe → repeat) AI agents are being deployed across every department HR, Finance, Legal, IT, Customer Support. They can read documents, call APIs, extract data, and take actions. On paper, the capability is there . But in practice, something keeps going wrong . The agent gives an answer that is technically correct but does not match how your company actually operates . It follows a process that made sense in general but violates your internal policy. It retrieves the right data but does not know what to do with it next. It escalate