AI Setup – A Production-Ready Skill for Claude Code
AI Setup is a skill for Claude Code and compatible AI agents that bootstraps a fully personalized Obsidian vault with a single command. Through a three-stage process (bootstrap, interactive brain dump, document ingestion), it generates structured context files so the AI understands the user, business, products, team, and workflows without starting from scratch each conversation. Designed with Markdown-first, AI-first principles, it works with Claude Code, Claude Desktop, Obsidian, and more.
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Bootstrap a fully personalized Obsidian vault with a single command.
AI Setup is a production-ready Skill for Claude Code and compatible AI agents.
Instead of creating another generic note vault, it builds a complete knowledge system, interviews the user, ingests existing documents, and generates a personalized workspace from real data.
The result is an Obsidian vault that already knows who you are, what you're building, how you work, and where your information belongs.
Features
Complete Obsidian vault bootstrap
Creates a production-ready folder structure
Generates all required CLAUDE.md routing files
Interactive onboarding (12 categories)
Imports existing documentation
Reads Markdown, PDF, DOCX, JSON, YAML, CSV and more
Builds structured context files
Creates project workspaces automatically
Uses a single universal vault architecture
Optimized for long-term AI memory
What Gets Created
. ├── .claude/ ├── Context/ ├── Projects/ ├── Daily/ ├── Resources/ ├── Skills/ └── Intelligence/
The generated vault is intentionally lightweight while remaining suitable for both solo developers and small teams.
How It Works
The setup process consists of three stages.
Phase A — Bootstrap
The skill creates the entire vault structure:
folders
configuration
routing files
hooks
starter context
AI configuration
No user interaction is required.
Phase B — Guided Brain Dump
Instead of asking dozens of small questions, AI Setup walks the user through twelve structured categories.
Topics include:
You
Your business
Products
Customers
Brand
Positioning
Priorities
Projects
Team
Technology stack
Workflows
Automation opportunities
Each category accepts:
free-form writing
voice transcripts
URLs
local files
uploaded documents
Phase B+
Finally, the skill asks for anything that may still contain useful context.
For example:
PDFs
Brand books
Notion pages
LinkedIn profiles
Google Docs
Markdown notes
Existing vaults
Everything is imported before the vault is generated.
Generated Context
The onboarding produces structured knowledge files such as:
Context/ me.md business.md brand.md icp.md strategy.md infrastructure.md services.md pain-points.md
Only files that contain actual information are created.
There are no placeholder documents.
Why?
Most AI assistants know almost nothing about their users.
Every new conversation starts from scratch.
AI Setup changes that.
Instead of repeatedly explaining your business, projects, writing style, customers, and workflows, you teach the AI once.
The result is a knowledge base that grows with you.
Design Principles
Markdown first
Obsidian native
AI-first architecture
Human editable
No databases
No vendor lock-in
Universal folder structure
Production-ready
Compatibility
Designed primarily for:
Claude Code
Claude Desktop
Obsidian
Any agent supporting Anthropic Skills
Most generated files are plain Markdown and can be used with virtually any LLM workflow.
Installation
Clone this repository into your Skills directory.
git clone https://github.com/anliberant/AI-Pro-Obsidian-Plugin
Then invoke:
/ai-setup
The onboarding will begin automatically.
Philosophy
Large language models perform best when they have structured context.
AI Setup doesn't try to replace your notes.
It builds the infrastructure that allows AI to understand them.
Think of it as installing an operating system for your knowledge.
License
MIT
About
A production-ready onboarding skill for AI agents that bootstraps a professional Obsidian vault, interviews the user, ingests documents, and generates a fully personalized knowledge system.
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