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databricks Plugin

Author
Databricks
Category
Database
Topics
Data Engineering & Analytics · Databases & Storage · Cloud, Deployment & CI/CD
First seen
2026-07-09
Last confirmed
2026-07-13
Explanation last updated
2026-07-13

The explanation below is AI-generated. Please verify it against the sources.

This is "databricks", a plugin that packages Databricks-specific agent skills for AI coding assistants such as Claude Code, Cursor, Codex, and GitHub Copilot. According to the README, it covers the Databricks CLI, Databricks Apps, Lakebase, Model Serving, Lakeflow Jobs, Spark Declarative Pipelines, Declarative Automation Bundles (DABs), and classic-to-serverless migration. The skills can be installed either via the Databricks CLI (databricks aitools install) or via plugin marketplaces for Claude Code, Cursor, GitHub Copilot, and Codex, and each installs stable skills such as databricks-core, databricks-apps, databricks-lakebase, databricks-jobs, databricks-pipelines, databricks-dabs, databricks-serverless-migration, and others, plus an optional experimental set. When installed as a Claude Code or Cursor plugin, it also adds slash commands (/databricks:setup, /databricks:doctor) and hooks for prompt routing, session context, and auth-failure hints. The homepage separately describes the underlying Databricks developer platform (Apps, Lakebase, Agent Bricks) that these skills are built to assist with.

Overview

According to the homepage, Databricks is a developer platform offering Databricks Apps (web apps deployable into a workspace via the CLI, with built-in OAuth and workspace data access), Lakebase (managed Postgres colocated with the Lakehouse, with autoscaling and instant branching), and Agent Bricks (LLM-driven apps that call tools, run on Databricks-hosted models, and get automatic MLflow tracing). The "databricks" plugin itself is not this platform but a set of AI coding assistant skills, per the README, designed to give guidance for building on it.

What you can do with databricks

  • Install Databricks-specific skills for AI coding assistants via databricks aitools install (Databricks CLI) or via plugin marketplaces for Claude Code, Cursor, GitHub Copilot, and Codex
  • Get guidance skills covering the Databricks CLI/auth, Databricks Apps, Lakebase, Model Serving, Lakeflow Jobs, Spark Declarative Pipelines, DABs, serverless migration, vector search, Agent Bricks, AI Functions, and other product areas listed in the README
  • Run /databricks:setup [workspace-url] for auth/onboarding and /databricks:doctor [profile] for a read-only health check (Claude Code, Cursor)
  • Rely on hooks that route Databricks-related prompts to the matching skill, prime session context (CLI version, configured profiles), and surface auth-failure hints
  • Add best-effort experimental skills (e.g. databricks aitools install databricks-genie --experimental) not covered by the stable review bar

Sources

Original description (English)

Databricks skills for the CLI, Apps, Lakebase, Model Serving, Lakeflow Jobs, Spark Declarative Pipelines, Declarative Automation Bundles (DABs), and classic-to-serverless migration.

History of databricks

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