The article clarifies the distinctions between Agent Skills, Model Context Protocol (MCP), Function Calling, and Agent-to-Agent (A2A) communication in AI development. Agent Skills are described as self-contained folders with a SKILL.md file that teach an agent how to perform a task, with Anthropic's Claude being an early adopter. MCP, on the other hand, provides an agent access to external resources via a live JSON-RPC server. Function calling is identified as the underlying model-level primitive for both, while A2A facilitates communication between agents. The author emphasizes that these are not mutually exclusive choices but rather layers that can be composed, with an ongoing effort to standardize Skills over MCP. AI
IMPACT Clarifies architectural choices for AI agent development, potentially guiding developers towards more efficient implementations.
RANK_REASON The item is an explanatory article distinguishing between different AI agent architectures and protocols.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →