databricks-core
Databricks
Core skill for Databricks CLI, authentication, and data exploration.
Product Skills
For specific products, use dedicated skills:
- databricks-jobs - Lakeflow Jobs development and deployment
- databricks-pipelines - Lakeflow Spark Declarative Pipelines (batch and streaming data pipelines)
- databricks-apps - Full-stack TypeScript app development and deployment
- databricks-lakebase - Lakebase Postgres Autoscaling project management
- databricks-model-serving - Model Serving endpoint management and inference
Prerequisites
More from databricks/databricks-agent-skills
databricks-apps
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.
329databricks-pipelines
Develop Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) on Databricks. Use when building batch or streaming data pipelines with Python or SQL. Invoke BEFORE starting implementation.
288databricks-jobs
Develop and deploy Lakeflow Jobs on Databricks. Use when creating data engineering jobs with notebooks, Python wheels, or SQL tasks. Invoke BEFORE starting implementation.
282databricks-lakebase
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.
248databricks-dabs
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
219databricks
Databricks CLI operations: auth, profiles, data exploration, and bundles. Contains up-to-date guidelines for Databricks-related CLI tasks.
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