I Built an Agentic OS with Claude Code (Blueprint Inside)

✨ Get access to my workflows and resources 👇 https://www.skool.com/ai-automation-community I built an agentic OS with Claude Code — one repo that runs research, content creation, and publishing across every client without mixing context. In this video I walk through the full folder structure, the 7-layer architecture, and how skills, memory, and clients stay separated so you can scale without losing your mind. By the end you'll have a blueprint you can copy and adapt to your own stack. What you'll learn: - How to structure an agentic OS folder so domains, skills, and clients never collide - Why a CLI-agnostic orchestrator layer matters when you mix Claude Code, Codex, and other AI agents - How to chain skills with composition so one workflow triggers the next automatically - When to keep a human in the loop and when to let the runtime ship on its own ⏱ CHAPTERS 0:00 Intro 0:22 Why You Need an Agentic Operating System 0:50 Agentic OS Folder Structure Walkthrough 3:20 How to Organize Skills Domains and Clients 6:49 Agentic OS Architecture Explained 6:57 Integrations Layer With Claude Code and APIs 9:00 Memory and Output Storage for AI Agents 9:43 Separating Domains From Clients 10:03 How Client Resolution Works in Claude Code 10:34 Human in the Loop Skill Runtime 11:17 Chaining Skills With Composition 12:01 CLI Agnostic Orchestrator Layer 12:43 Real Example Using the Agentic OS 15:03 Should You Build an Agentic OS ⚙ RESOURCES Community: https://www.skool.com/ai-automation-community YouTube: https://www.youtube.com/@Marvomatic Website: https://marvomatic.com/ Join the community — link in the first comment. I share the full agentic OS blueprint, the skills I run, and the exact prompts I use with Anthropic's Claude Code and other AI agents. #AgenticOS #ClaudeCode #AIAgents #AIAutomation #Anthropic