# databricks-docs

Fetches official Databricks platform documentation through the llms.txt index. It helps when you need verified API parameters or lakehouse reference guides.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 310 installs · ★ 368
- Author: databricks
- License: LicenseRef-Unknown · policy=link-only · description only; the file stays with the author
- Source: https://github.com/databricks/databricks-agent-skills/tree/HEAD/skills/databricks-docs/SKILL.md
- Updated: 2026-10-24
- HTML: https://affpapa.org/en/nevibecode/skills/databricks-docs

## What it does

This reference skill gives the assistant access to the complete Databricks documentation directory via `https://docs.databricks.com/llms.txt`. It covers sections for Delta Lake and Unity Catalog governance alongside developer tooling.

The skill handles lookups rather than actions. The assistant downloads the index file, navigates directly to the relevant documentation page, and applies the extracted concepts when drafting terminal commands or Python scripts.

Your environment needs `databricks` CLI version `1.0.0` or higher to run associated operations. For executing deployment tasks, Databricks recommends combining this reference with dedicated workflow skills such as `databricks-python-sdk`.

## Requirements
- Works with: Databricks

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add databricks/databricks-agent-skills --skill databricks-docs -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/databricks-docs/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/databricks-docs/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add databricks/databricks-agent-skills --skill databricks-docs -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/databricks-docs/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add databricks/databricks-agent-skills --skill databricks-docs -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/databricks-docs/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install databricks/databricks-agent-skills databricks-docs
```

2. **Manually: put the files in place**
- File: `.github/skills/databricks-docs/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add databricks/databricks-agent-skills --skill databricks-docs -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/databricks/databricks-agent-skills --path skills/databricks-docs
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/databricks-docs/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add databricks/databricks-agent-skills --skill databricks-docs -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/databricks/databricks-agent-skills/tree/HEAD/skills/databricks-docs/SKILL.md

## When to use it
- look up Databricks REST API and SDK configuration options
- retrieve governance guidelines for Unity Catalog
- find documentation for Lakeflow and Delta Live Tables pipelines
- verify model serving settings for MLflow deployments

## Example prompts
- Search the Databricks docs for Unity Catalog privilege inheritance rules.
- Look up configuration flags for databricks pipelines create in the documentation index.
- Check the official Databricks guide on MLflow model serving endpoints.

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From the same set: [databricks/databricks-agent-skills](https://affpapa.org/en/nevibecode/by/databricks/databricks-agent-skills.md) — 18 cards

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NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md