SkillsAdd

databricks/databricks-agent-skills

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.

First seen Jul 28, 2026

Installation

$ npx skills add databricks/databricks-agent-skills --skill databricks-genie-agents
View on skills.sh ↗ GitHub repository ↗

Summary

  • 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.

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npx skills add databricks/databricks-agent-skills
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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 304
License LICENSE
Default branch main
Open issues 31
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Version0.1.0
CompatibilityRequires databricks CLI (>= v1.0.0)
More metadata
version
0.1.0

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,957 B
  • docs SUMMARY.md 383 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 86 installs

SKILL.md

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](references/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](references/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](references/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](references/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](references/genie-agent-cicd.md) Export, import, cross-workspace migration, batch migration, DABs/CI-CD get-space → remap → create-space
— [serialized-space.md](references/serialized-space.md) Constructing or debugging serialized_space payloads — field schemas, constraints, Python helper —
— [uc-persistence.md](references/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](../databricks-data-discovery/SKILL.md) - 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](../databricks-metric-views/SKILL.md) - Build governed business metrics that Genie consumes. See [SKILL.md](../databricks-metric-views/SKILL.md) for metric-view design rules that affect Genie answer quality, and [query-patterns.md](../databricks-metric-views/references/query-patterns.md) for the MEASURE() query rules Genie must follow.
  • [databricks-agent-bricks](../databricks-agent-bricks/SKILL.md) - Use Genie Agents as agents inside Supervisor Agents
  • [databricks-unity-catalog](../databricks-unity-catalog/SKILL.md) - Manage the catalogs, schemas, and tables Genie queries