databricks-run

Execute Databricks Notebooks and Jobs on clusters via command line.

Updated May 26, 2026

Search Tags:#execution #cluster #notebook #databricks #job

Ready to run

npx skills add https://github.com/rbutinar/ade-ops --skill databricks-run

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: databricks-run
Source: https://github.com/rbutinar/ade-ops/tree/main/.agents/skills/databricks-run
Command: npx skills add https://github.com/rbutinar/ade-ops --skill databricks-run

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires databricks, and includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the execution of Databricks Notebooks and Jobs, simplifying the process of running complex data processing tasks on Databricks clusters.

Core Features & Use Cases

Notebook & Job Execution: Submit and run Databricks Notebooks and Jobs directly through the command line.
Environment-Specific Execution: Supports running notebooks based on the environment (development, staging, production).
Layer and Pipeline Support: Execute all notebooks in a folder or a predefined sequence using layers and pipelines.

Quick Start

Run the 'databricks-run' skill to execute the 'bronze/load' notebook in the 'dev' environment.

Frequently Asked Questions about databricks-run

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

FAQPage Schema

How do I run Databricks notebooks from the command line?▼

You can run Databricks notebooks from the command line by submitting them as jobs on Databricks clusters. This skill streamlines execution by sending notebook run requests directly to your workspace.

Can I execute Databricks jobs across different environments like dev, staging, and production?▼

Yes, you can execute Databricks jobs across different environments. The skill supports environment-specific execution, allowing you to target development, staging, or production clusters for your notebook runs.

How do I execute a folder of Databricks notebooks in a specific sequence?▼

You can execute a folder of Databricks notebooks in a sequence by using layers and pipelines. This feature allows you to run all notebooks in a directory or trigger a predefined processing order.

Do I need a Databricks MCP server to run notebooks with this tool?▼

You need either a Databricks MCP server or direct credentials to run notebooks with this tool. Additionally, you must have network access to the target notebooks within your Databricks workspace.

What is the best way to automate Databricks job execution for data pipelines?▼

The best way to automate Databricks job execution for data pipelines is by submitting jobs directly to clusters via scripts. This approach supports layer and pipeline execution to orchestrate complex data processing tasks.