Why Claiming LLM MCP Is Dead and Skills Are Supreme Reveals Beginner Thinking

First a blunt statement: those who claim LLM MCP is dead and Skills are the ultimate capability are basically beginners.

Many newcomers who have only studied agents for a few days watch short video tutorials and conclude that Skills are “MCP Pro Max”, thus proclaiming MCP outdated and Skills the advanced play.

The author points out that MCP and Skills operate on different dimensions: MCP is a low‑level communication layer that standardizes how AI interacts with tools, comparable to a USB protocol or HTTP/RPC/JDBC in the AI era.

Skills, on the other hand, are pre‑packaged business abilities such as SQL analysis, resume optimization, interview feedback, Jira operations, or weekly‑report generation—essentially “what AI can do”. They are moving toward a business‑abstraction layer.

A single Skill may internally invoke dozens of tools, run multiple reasoning rounds, employ RAG, workflow orchestration, state machines, or multi‑agent coordination, yet the user only sees a simple request like “Help me analyze this resume”.

Thus MCP functions as a “tool‑connection layer”, while Skills serve as an “ability‑encapsulation layer”. One solves “how to connect”, the other solves “what to do after connection”; there is no upgrade relationship between them, just as a browser is not an upgraded HTTP protocol.

The article lists real engineering difficulties beyond the hype: preserving user state, recovering from task interruptions, compensating for multi‑step failures, compressing long contexts, unifying tool output formats, handling tool timeouts, and verifying model hallucinations.

Finally, the author warns that the AI community often falls into “new‑concept worship”, swapping terminology without improving actual engineering capability, and asks how many truly understand agents versus merely re‑branding prompts.