Skills, plugins, and extensions all add capabilities to AI tools — but they work completely differently. Here is when to use each one.
The AI ecosystem has three main ways to add capabilities: Skills (SKILL.md files), MCP Plugins (server connections), and IDE Extensions (VS Code, JetBrains). Each serves a different purpose and works at a different layer. Understanding the difference helps you build the right system.
A skill is a markdown instruction file that teaches your AI how to do something specific. It loads into the AI's context when relevant. Example: a "React Testing" skill contains step-by-step instructions for writing React tests with specific patterns and best practices. Skills are lightweight (just text), instant to load, and work across any Claude Code session. There are 1,730+ skills covering every domain from web development to finance.
An MCP plugin is a running server that gives your AI access to an external service. Example: the GitHub MCP lets your AI create PRs, read code, and manage issues. Unlike skills (which are instructions), MCP plugins are live connections that let the AI take action in the real world. You currently have access to 330+ MCP tools.
IDE extensions like GitHub Copilot or Cursor live inside your code editor and provide autocomplete, inline chat, and code suggestions. They work at the typing level — suggesting the next line as you write. They are complementary to Claude Code, not a replacement.
Use skills for domain knowledge (what patterns to follow). Use MCP plugins for external actions (connect to services). Use IDE extensions for real-time coding (autocomplete and suggestions). Together they form a complete AI development environment — knowledge, action, and real-time assistance all working together.
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