Databricks Genie Agents

Organization

databricks

databricks-genie-agents

Create, manage, and query Databricks Genie Agents — curated, per-data natural-language agents (formerly Genie Spaces): build, export/import, migrate across workspaces, and ask questions of a *specific* Agent via the Conversation API. For general data questions or finding data across your workspace, use databricks-data-discovery (Genie One) instead.

Overview

Publisher	databricks
Repository	`databricks-agent-skills`
Skill name	`databricks-genie-agents`
Stars	366
Forks	93
Bundled files	10
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
10 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by databricks on GitHub. Read the source before you install it.

Installation

Install the Databricks Genie Agents AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/databricks/databricks-agent-skills/tree/main/plugins/databricks/claude/skills/databricks-genie-agents
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/databricks/databricks-agent-skills/tree/main/plugins/databricks/claude/skills/databricks-genie-agents

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git /tmp/databricks-agent-skills
mkdir -p .claude/skills
cp -r /tmp/databricks-agent-skills/plugins/databricks/claude/skills/databricks-genie-agents .claude/skills/databricks-genie-agents

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Databricks Genie Agents in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Databricks Genie Agents on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Databricks Genie Agents is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Databricks Genie Agents

Create, manage, and query Genie Agents (formerly Genie Spaces) - natural language interfaces for SQL-based data exploration.

Overview

Genie Agents allow users to ask natural language questions about structured data in Unity Catalog. The system translates questions into SQL queries, executes them on a SQL warehouse, and presents results conversationally.

A Genie Agent is a curated agent scoped to specific data — its tables, sample questions, and instructions are authored for a particular business area. This is distinct from Genie One / the general "ask Genie" data-discovery path (see the databricks-data-discovery skill), which answers questions across your data without a curated, per-scope agent.

Genie Agent Lifecycle

Phase	Reference	Load when	Typical CLI
Design + Create	create-genie-agent.md	Always load before creating or updating. Gather requirements, profile data, design surfaces, get approval — before any CLI	`discover-schema` → `create-space` / `update-space`
Query / validate	query-genie-agent.md	Querying via Conversation API or Agent mode API; authoring SQL for Metric View sources	`start-conversation` / `get-message`
Diagnose	diagnose-genie-agent.md	Agent gives wrong/empty answers — gather space ID + failing question + observed behavior first	`get-space --include-serialized-space`; `system.query.history`
Optimize	optimize-genie-agent.md	Benchmark-driven quality tuning — gather space ID + optimization goal + benchmark target first	`genie-create-eval-run`; `update-space`
Export / migrate	genie-agent-cicd.md	Export, import, cross-workspace migration, batch migration, DABs/CI-CD	`get-space` → remap → `create-space`
—	serialized-space.md	Constructing or debugging `serialized_space` payloads — field schemas, constraints, Python helper	—
—	uc-persistence.md	Setting up UC Delta tables for multi-pass optimization history — CREATE TABLE DDL only	—

Typical flow: create → query/validate → diagnose → optimize.

Prerequisites

Tables in Unity Catalog — bronze/silver/gold tables with the data
SQL Warehouse — a warehouse to execute queries (auto-detected if not specified)

Related Skills

databricks-data-discovery - General natural-language data exploration / "ask Genie" (Genie One) across your data; use it when you are not targeting a specific curated Genie Agent
databricks-metric-views - Build governed business metrics that Genie consumes. See SKILL.md for metric-view design rules that affect Genie answer quality, and query-patterns.md for the MEASURE() query rules Genie must follow.
databricks-agent-bricks - Use Genie Agents as agents inside Supervisor Agents
databricks-unity-catalog - Manage the catalogs, schemas, and tables Genie queries

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Databricks Genie Agents AI skill do?

Why use Databricks Genie Agents on TypingMind?

Because you install it once and use it with any model. Databricks Genie Agents is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Databricks Genie Agents in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/databricks/databricks-agent-skills/tree/main/plugins/databricks/claude/skills/databricks-genie-agents. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Databricks Genie Agents?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Databricks Genie Agents?

As many as you like. As long as a model supports skills, you can use Databricks Genie Agents with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Databricks Genie Agents AI skill free?

It is published on GitHub by databricks. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Deslop

openclaw

OrganizationPopular

Diff-scoped AI-slop cleanup pass: strip comment slop, defensive-check slop, type-laundering, and style drift from the current branch diff before autoreview.

Discord Clawd

Use to talk to the Discord-backed OpenClaw agent/session; not for archive search.

Discrawl

Discord archive: search, sync freshness, DMs, summaries, TUI, repo/release work.

Gitcrawl

GitHub archive: issue/PR search, sync freshness, duplicate clusters, current GitHub handoff, and Gitcrawl repo work.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Databricks Genie Agents

Overview

Genie Agent Lifecycle

Prerequisites

Related Skills

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now