Claude Code Agentic OS: 3 Steps to Systematize Workflows

The Breakthrough

Chase AI describes a Claude Code Agentic OS that codifies daily workflows into domains, tasks, skills, and automations, then wraps them in an Obsidian memory layer and an observability dashboard for tracking, optimization, and team or client handoff.

What Actually Worked

• Break workflows into domains such as memory, productivity, research, content, and community; subdivide domains into discrete tasks like YouTube search, deep research (scanning Twitter, GitHub, web, YouTube, prior Obsidian entries), morning reports, and competitor monitoring.
• Convert tasks into repeatable skills and select tasks into automations (local or remote); start a voice conversation in Claude Code terminal using a dedicated prompt (available in Chase AI community) where Claude Code identifies tasks, creates skills via skill creator skill, and determines automation type.
• Set up Obsidian vault as the Claude Code working directory with subfolders including raw (staging/dumping ground), wiki (codified articles from raw), and output (e.g., slide decks from wiki); optionally organize by domains like research or sales.
• Create a claude.md file in the vault that appends to every prompt; the file defines the OS purpose, instructs Claude Code behavior, and details vault structure (e.g., archive, content ops, personal projects, raw, wiki) to enable efficient navigation and lower token costs.
• Build an observability dashboard that turns skills and automations into clickable buttons; buttons trigger headless Claude Code instances via the --help flag with user input; dashboard displays usage stats (5-hour/weekly windows, daily routines), recent vault changes, and outputs with Obsidian links and sources.

Context

Users typically prompt Claude Code randomly like a slot machine, yielding inconsistent results with no tracking or optimization. This Agentic OS systematizes Claude Code by turning personal and business activities into a trackable architecture, enabling consistency, automation of repetitive tasks like morning trend scans, and scalability to teams or clients who avoid terminals. The setup uses free tools like Obsidian for memory without needing vector databases or full RAG systems, as Claude Code handles markdown files effectively.

Notable Quotes

• "We turn your daily workflows into skills skills into automations and automations into architecture before we wrap the entire thing in a memory and observability layer."
• "You do a lot of different things across a lot of different domains in your day-to-day life and in your business life have you codified it in this manner have you turned every task into a skill do you have a way of tracking all this and optimizing it chances are no."
• "The claude.MD file for all intents and purposes is pretty much appended to every single prompt you give it secondly what the claud file is going to do is it is going to spell out for our agentic OS system how its memory is actually structured."

Content References

Obsidian serves as the memory layer with a customizable vault structure. The Karpathy Obsidian RAG setup provides the template of raw, wiki, and output folders.