3 Steps to Custom Claude Code Agentic OS
Codify workflows into domains, tasks, skills, and automations; add Obsidian memory layer; build observability dashboard to track, optimize, and share with teams/clients ahead of 99% of users.
Codify Workflows into Repeatable Skills and Automations
Break daily personal and business activities into domains (e.g., memory, productivity, research, content, community), then subdivide domains into discrete tasks (e.g., YouTube search, deep research across Twitter/GitHub/web/YouTube/Obsidian, morning reports, competitor tracking). Convert tasks into consistent skills using Claude Code's skill creator—simple ones like YouTube reports replace manual searches; complex ones like deep research consolidate multi-source data with past Obsidian entries.
Turn suitable skills into automations: local for on-device tasks, remote for API-driven ones (Claude Code decides type). Use a single prompt in Claude Code terminal (microphone-enabled stream-of-consciousness recommended) to iterate: describe day-to-day tasks/domains, let it propose skills/automations per domain. This creates a trackable backbone—execute skills identically every time, eliminating random prompting. Value scales to teams/clients: hand off system for consistent results without deep Claude expertise.
Implement Obsidian Memory Layer for Persistence
Designate an Obsidian vault as the OS home (Claude Code runs from here). Use Karpathy-inspired structure: /raw (dumping/staging for chats/research), /wiki (codified articles from raw, e.g., RAG system reports), /outputs (final artifacts like slide decks). Customize further: subfolders per domain (research, AI agency, sales) for intuitive data flow.
Create claude.md in vault root—appended to every prompt—to define OS purpose, behaviors, and exact folder structure (e.g., archive, content, ops, personal, projects, raw, wiki). This enables efficient navigation, lower token costs, and adherence to flows. Obsidian's Markdown suffices as lightweight RAG—no vector DB needed for most; Claude Code handles retrieval fine. Track/optimize outputs here since all skills/automations populate it.
Deploy Observability Dashboard for Visibility and Accessibility
Build a web dashboard exposing key skills/automations as clickable buttons (e.g., "Deep Research" auto-populates prompt, runs headless Claude Code instance via --headless flag, outputs to Obsidian with source links). Use Claude Code prompt to generate: conversation identifies skills for buttons, custom observability metrics (5-hour/weekly usage, daily routines count, vault changes, forecasts).
Overcomes terminal limits—visualize what terminal can't (e.g., usage trends). Ideal for non-technical teams/clients: anyone clicks buttons for Claude power without terminal/VS Code. Fully customizable per user/client needs. Combine with architecture/memory for end-to-end OS: optimize via tracking, scale via sharing.