version: "1.0.1" name: quickstart description: "Set up Databricks agent development environment. Use when: (1) First time setup, (2) Configuring Databricks authentication, (3) User says 'quickstart', 'set up', 'authenticate', or 'configure databricks', (4) No .env file exists."

Quickstart & Authentication

Prerequisites

• uv (Python package manager)
• nvm with Node 20 (for frontend)
• Databricks CLI v0.283.0+

Check CLI version:

databricks -v  # Must be v0.283.0 or above
brew upgrade databricks  # If version is too old

Run Quickstart

uv run quickstart

Options:

• --profile NAME: Use specified profile (non-interactive)
• --host URL: Workspace URL for initial setup
• -h, --help: Show help

Examples:

# Interactive (prompts for profile selection)
uv run quickstart
 
# Non-interactive with existing profile
uv run quickstart --profile DEFAULT
 
# New workspace setup
uv run quickstart --host https://your-workspace.cloud.databricks.com

What Quickstart Configures

Creates/updates .env with:

• DATABRICKS_CONFIG_PROFILE - Selected CLI profile
• MLFLOW_TRACKING_URI - Set to databricks://<profile-name> for local auth
• MLFLOW_EXPERIMENT_ID - Auto-created experiment ID

Manual Authentication (Fallback)

If quickstart fails:

# Create new profile
databricks auth login --host https://your-workspace.cloud.databricks.com
 
# Verify
databricks auth profiles

Then manually create .env (copy from .env.example):

# Authentication (choose one method)
DATABRICKS_CONFIG_PROFILE=DEFAULT
# DATABRICKS_HOST=https://<your-workspace-here>.databricks.com
# DATABRICKS_TOKEN=dapi....
 
# MLflow configuration
MLFLOW_EXPERIMENT_ID=<your-experiment-id>
MLFLOW_TRACKING_URI="databricks://DEFAULT"
MLFLOW_REGISTRY_URI="databricks-uc"
 
# Frontend proxy settings
CHAT_APP_PORT=3000
CHAT_PROXY_TIMEOUT_SECONDS=300

Next Steps

After quickstart completes:

1. Run uv run discover-tools to find available workspace resources (see discover-tools skill)
2. Run uv run start-app to test locally (see run-locally skill)