dbos-inc/dbos-demo-apps/quickstart

Claude Code and agent skill by dbos-inc/dbos-demo-apps

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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.

Install

npx vskill@latest install dbos-inc/dbos-demo-apps/quickstart

SKILL.md

Quickstart & Authentication

Prerequisites

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

Check CLI version:

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

Run Quickstart

bash
uv run quickstart

Options:

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

Examples:

bash
# 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:

bash
# 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):

bash
# 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)

Security

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Source

Popularity

Repository stars
100
Repository forks
39
7-day trend score
23

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 20 Mar 2026, 7 months ago.

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