Databricks AI Tools — скилл

---
name: "databricks-core"
description: "Databricks CLI operations and the parent/entry-point skill for Databricks CLI use: authentication, profile selection, and bundles. Load this first for CLI, auth, profile, and bundle tasks, then load the matching product skill. For finding or exploring data, answering questions about the data, or generating SQL, load the databricks-data-discovery skill (it routes to Genie One). Contains up-to-date guidelines for Databricks-related CLI tasks."
compatibility: Requires databricks CLI (>= v1.0.0)
metadata:
  version: "0.1.0"
---

# 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-serverless** - Compute choice for jobs and pipelines (serverless, performance mode, classic fallback)
- **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

For **data discovery, exploration, and query generation** — finding tables,
answering natural-language questions about the data, or generating SQL — use
**databricks-data-discovery** (it asks Genie One first, then falls back to manual
exploration). If it isn't installed, use the AI-tool commands below and
[Manual Data Exploration](manual-data-exploration.md).

## Prerequisites

1. **CLI installed and current**: the CLI must be >= v1.0.0. A CLI that is present but
   too old is not "good enough" — it must be upgraded, not worked around.
   - **Run the floor check in [CLI Installation](databricks-cli-install.md).** If it reports
     `UPGRADE` or `INSTALL`: STOP and follow that reference file to upgrade or install — do
     not proceed or tell the user their CLI is fine.
   - **If another skill routed you here to upgrade** (it needs a newer CLI than v1.0.0 — e.g.
     `databricks-setup-local` needs v1.16.0), that skill already detected the gap. A passing
     v1.0.0 floor check is not enough: follow the Update / repair procedures to install the
     latest stable, which satisfies any skill's floor.
   - Note: In sandboxed environments (Cursor IDE, containers), install commands write outside the workspace and may be blocked. Present the install command to the user and ask them to run it in their own terminal.
   - **Exception:** If CLI installation is blocked (sandboxed containers, restricted environments), ask the user whether to fall back to direct REST API calls using `DATABRICKS_HOST` and `DATABRICKS_TOKEN` environment variables if present in the shell. See the [Databricks REST API docs](https://docs.databricks.com/api/workspace/).