databricks-config

Configure Databricks profiles and authentication in ~/.databrickscfg.

Updated Sep 9, 2017
One-click install
npx skills add https://github.com/mirakui/dotfiles --skill databricks-config-mirakui
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: databricks-config
Source: https://github.com/mirakui/dotfiles/tree/main/claude/skills/databricks-config
Command: npx skills add https://github.com/mirakui/dotfiles --skill databricks-config-mirakui

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Configure the Databricks profile in ~/.databrickscfg for use with Databricks Connect, Databricks CLI, and Databricks SDK.

Core Features & Use Cases

  • Configure a default or named profile and authenticate against a workspace host.
  • Preserve existing settings in ~/.databrickscfg (host, auth_type, etc.) and verify the profile's existence.
  • Ensure secure handling by redacting token values in displays and guiding verification steps.

Quick Start

Run the databricks-config command with a profile name or workspace host to configure and authenticate Databricks profiles.

Frequently Asked Questions about databricks-config

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I configure a Databricks profile for CLI and SDK authentication?

To configure Databricks profile authentication, you create or update a named profile with a workspace host in the ~/.databrickscfg file, preserving existing settings while guiding you through interactive or scripted authentication steps.

How do I set up Databricks Connect using a specific workspace host?

You set up Databricks Connect by configuring a default or named profile in ~/.databrickscfg with your workspace host, which authenticates your environment for use with the Databricks Connect runtime.

Can I update an existing Databricks profile without losing my current settings?

Yes, updating an existing Databricks profile preserves your current settings in ~/.databrickscfg, including the host and auth_type, while validating the profile's existence and securely redacting token values during display.

What is the best way to securely handle Databricks authentication tokens?

Secure Databricks authentication handling redacts token values in all displays and outputs, guiding you through verification steps to ensure your ~/.databrickscfg profile configuration is valid without exposing sensitive credentials.

Does Databricks CLI support multiple named profiles in ~/.databrickscfg?

Yes, Databricks CLI supports multiple named profiles in ~/.databrickscfg, allowing you to configure and authenticate against different workspace hosts while preserving existing settings for each individual profile.