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databricks Claude Code Plugin

Author
Databricks
Category
Database
Topics
Data Engineering & Analytics · Cloud, Deployment & CI/CD · Databases & Storage
License
Proprietary(opens in a new tab)
Version
0.2.28
First cataloged
2026-07-09 (UTC)
Explanation last updated
2026-10-23 (UTC)
Source (GitHub) last updated
2026-11-03 (UTC) (yesterday)

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

It can be installed either through the Databricks CLI's aitools command or through per-agent plugin marketplaces, and on supported agents it also adds slash commands and hooks for setup, health checks, and prompt routing. The homepage material describes the broader Databricks developer platform, including Apps, Lakebase, and Agent Bricks, which these skills are built to help developers use from within their coding agent.

About the service

Databricks is a cloud data and AI platform that provides a workspace for data engineering, analytics, and AI application development, including services such as Apps (hosted web applications), Lakebase (managed Postgres), Model Serving (hosted model inference endpoints), and Lakeflow Jobs/Pipelines for orchestration and data transformation. The skills in this plugin are designed to help an AI coding agent interact with these Databricks services through the Databricks CLI, SDK, and APIs.

What you can do with databricks

  • Get Databricks CLI setup, authentication, and profile guidance from the databricks-core skill
  • Get help building full-stack apps on Databricks Apps (AppKit) or Python frameworks like Streamlit, Dash, or Flask
  • Get guidance on provisioning and using Lakebase Postgres, including branching, autoscaling, synced tables, and pgvector
  • Get help configuring Model Serving endpoints, AI Gateway, and traffic settings
  • Get support for defining and deploying resources with Declarative Automation Bundles (DABs)
  • Get guidance on Lakeflow Jobs orchestration and Spark Declarative Pipelines for batch and streaming
  • Get help migrating classic-compute workloads to serverless compute
  • Use slash commands such as /databricks:setup and /databricks:doctor for onboarding and health checks (on supported agents)
  • Benefit from hooks that add session context, route Databricks-related prompts to the right skill, and surface authentication-failure hints

Sources

History of databricks

  • Claude Code Plugin Updated version of databricks (0.2.20 → 0.2.28)

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