ai-agent

databricks-cli

(Legacy) Command Line Interface for Databricks
396 stars231 forksPythonUpdated 10/5/2023100% free · open source
What it does

The databricks-cli tool allows you to manage Databricks resources, such as clusters, jobs, and notebooks, from the command line.

When to use it
  • •When you need to automate Databricks tasks using scripts
  • •When you want to integrate Databricks with other command-line tools
  • •When you prefer a text-based interface for managing Databricks resources
Ready-to-paste prompt
databricks clusters create --cluster-name my-cluster --node-type i3.xlarge --num-workers 2
Heads up: You need to have a Databricks API token to use the databricks-cli tool, which can be generated in the Databricks web interface
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/databricks-cli && curl -fsSL https://workflowstacks.com/api/skills/databricks-cli/claude-skill -o ~/.claude/skills/databricks-cli/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions
Details
Creator
databricks
Language
Python
Category
ai-agent
Published
6/2/2017

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/databricks-cli.svg)](https://workflowstacks.com/skills/databricks-cli?utm_source=github&utm_medium=badge)
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