LLM Tutorial for Beginners: Claude Code, InfraNodus MCP Server, Custom Skills, and Reasoning Graphs

In this tutorial — also available in my Substack at https://noduslabs.substack.com/p/how-i-use-claude-code-to-think-research — I demonstrate my favorite LLM workflow setup. It is based on four pillars: controlled context via Claude Code and https://infranodus.com graphs, MCP servers, custom skills, and reasoning graphs. I show you how and why each of them works using my own examples. I will also demonstrate how you can set them up in your favorite LLM tool. Timestamps: 0:00 What’s wrong with ChatGPT? 1:12 Four pillars of the workflow 1:58 Why Claude Code beats ChatGPT 3:41 First pillar: controlled context 4:30 Connecting external context from InfraNodus 5:41 LLM Wiki setup 10:52 Working on website content 12:23 Second pillar: MCP servers and tools 15:56 Setting your MCP server up 17:51 Third pillar: Claude Skills 19:20 How skills interpret knowledge graphs 20:43 Creating your own skills 22:06 Fourth pillar: Reasoning ontologies 23:07 Using expert knowledge in a conversation To connect the InfraNodus MCP server — https://infranodus.com/mcp My HRV / movement adaptability app I'm talking about at 7:10 — https://somasync.app