By databricks
Build and deploy Databricks apps, dashboards, and visualizations; create declarative automation bundles (DABs) for jobs, pipelines, and alerts; develop Lakeflow jobs and Spark pipelines; manage Lakebase Postgres databases with autoscaling and branching; deploy model serving endpoints; migrate workloads to serverless compute; and operate CLI—all via specialized skills.
Build apps on Databricks Apps platform. Use when asked to create dashboards, data apps, analytics tools, or visualizations. Evaluates data access patterns (analytics vs Lakebase synced tables) before scaffolding. Invoke BEFORE starting implementation.
Databricks CLI operations: auth, profiles, data exploration, and bundles. Contains up-to-date guidelines for Databricks-related CLI tasks.
Create, configure, validate, deploy, run, and manage DABs — Declarative Automation Bundles (formerly Databricks Asset Bundles) — for Databricks resources including dashboards, jobs, pipelines, alerts, volumes, and apps
Develop and deploy Lakeflow Jobs on Databricks. Use when creating data engineering jobs with notebooks, Python wheels, or SQL tasks. Invoke BEFORE starting implementation.
Databricks Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API. Use when asked about Lakebase databases, OLTP storage, or connecting apps to Postgres on Databricks.
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Skills for AI coding assistants (Claude Code, Cursor, etc.) that provide Databricks-specific guidance.
For Claude Code:
databricks experimental aitools install
This installs skills to ~/.claude/skills/ for use with Claude Code.
For Cursor:
Run this command in chat:
/add-plugin databricks-skills
Each skill follows the Agent Skills Specification:
skill-name/
├── SKILL.md # Main skill file with frontmatter + instructions
└── references/ # Additional documentation loaded on demand
When experimenting with new skill variations, create a "subskill" that references the main skill and adds specific guidance:
---
name: "ai-databricks-apps"
description: "Databricks apps with AI features"
---
# AI powered Databricks Apps
First, load the base databricks-apps skill for foundational guidance.
Then apply these additional patterns:
- Custom pattern 1
- Custom pattern 2
This approach:
Sync assets and generate manifest after adding/updating skills:
python3 scripts/skills.py
Validate that assets and manifest are up to date (for CI):
python3 scripts/skills.py validate
The manifest is used by the CLI to discover available skills.
Please see SECURITY for vulnerability reporting guidelines.
All future release tags will be GPG-signed and verifiable via git tag -v <tag>.
npx claudepluginhub databricks/databricks-agent-skillsDatabricks development toolkit with skills for data engineering, ML, and AI agents plus MCP tools for direct Databricks operations
Claude Code skill pack for Databricks (24 skills)
Editorial "Data Engineering" bundle for Claude Code from Antigravity Awesome Skills.
This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.
Complete bundle: all Microsoft Skills for Fabric for developers and consumers
Data engineering plugin - warehouse exploration, pipeline authoring, Airflow integration