As AI agents become more sophisticated, understanding the building blocks of agent behavior is critical. This article explores the concept of Agent Skills—modular capabilities that agents can invoke—and distinguishes them from related concepts like MCP (Model Context Protocol), Workflow, Command, and Prompt. MCP provides a standardized way for agents to interact with tools and data, while Workflow defines the sequence of steps. Commands are direct instructions, and Prompts are natural language inputs. Agent Skills sit at a higher level, encapsulating reusable, composable units of functionality. For developers building agentic systems, grasping these distinctions helps in designing more modular, maintainable, and scalable agents. This topic is evergreen as the industry moves toward standardized agent architectures.
A clear breakdown of Agent Skills and their relationship to MCP, Workflow, Command, and Prompt in AI agent architecture.