A conceptual and practical walkthrough of AI agentic toolchain components: instruction files, skills, sub-agents, and MCP tools. Using a restaurant analogy, the author explains how each component works together — instructions set context and coding standards, skills act as recipe cards for specific tasks, sub-agents are cheaper specialized helpers that offload work from the main agent, and MCP tools provide platform-specific raw capabilities. Demonstrated using GitHub Copilot and Claude Code in VS Code with a .NET app and Uno Platform's MCP servers, showing real examples of sub-agent invocation, code review automation, and app interaction via MCP.
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