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Run npx skillmds@latest add ramvegiraju/quickstart in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

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Who published Quickstart?

RamVegiraju (@ramvegiraju) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Quickstart by ramvegiraju — Agent Skill

Name: Quickstart
Rating: 4.666666666666667 (3 reviews)
Author: RamVegiraju

Quickstart

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.

RamVegiraju Updated Sep 22, 2026

File contents

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:

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

---name: quickstartdescription: 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:```bashdatabricks -v # Must be v0.283.0 or abovebrew upgrade databricks # If version is too old```## Run Quickstart```bashuv 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 profileuv run quickstart --profile DEFAULT# New workspace setupuv run quickstart --host https://your-workspace.cloud.databricks.com```## What Quickstart ConfiguresCreates/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 profiledatabricks auth login --host https://your-workspace.cloud.databricks.com# Verifydatabricks 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 configurationMLFLOW_EXPERIMENT_ID=<your-experiment-id>MLFLOW_TRACKING_URI="databricks://DEFAULT"MLFLOW_REGISTRY_URI="databricks-uc"# Frontend proxy settingsCHAT_APP_PORT=3000CHAT_PROXY_TIMEOUT_SECONDS=300```## Next StepsAfter 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)

Frequently asked questions