Agent Skills vs MCP Which Is Better?
•October 22, 2025
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Why It Matters
This approach makes agent capabilities far more scalable and cost-efficient by slashing token overhead and simplifying maintenance, enabling broader and cheaper deployment of agent plugins; the tradeoff is the need for agents that can execute code.
Summary
Entropic’s new agent skills package a skill as a simple folder containing a YAML metadata file, a skill.md description, and optional scripts or documents, providing a file-system, plugin-style alternative to the MCP client-server protocol. Unlike MCP, which exposes tools via API endpoints and loads heavy tool descriptions up front, agent skills expose only lightweight metadata until a skill is invoked, greatly reducing token usage and runtime context. Skills are easier to create, edit and distribute—no endpoints required—and can run locally or in the cloud as long as the agent can read files and execute code. The main tradeoff is that agent skills require code execution capability on the agent, whereas MCP can operate without it.
Original Description
From MCP to Skills : the new architecture for AI agents explained simply...
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