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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.

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databricks/databricks-agent-skills

설치 방법 보기

포함된 파일(11)

SKILL.md3.9 KB
agents/openai.yaml418 B
assets/databricks.png15.0 KB
assets/databricks.svg582 B
references/create-genie-agent.md27.3 KB
references/diagnose-genie-agent.md13.7 KB
references/genie-agent-cicd.md4.4 KB
references/optimize-genie-agent.md37.7 KB
references/query-genie-agent.md7.0 KB
references/serialized-space.md11.8 KB
references/uc-persistence.md5.8 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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

리뷰

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같은 저장소의 스킬

databricks-agent-bricks

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Create Agent Bricks: Knowledge Assistants (KA) for document Q&A and Supervisor Agents for multi-agent orchestration (MAS).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

databricks/databricks-agent-skills3542026년 10월 19일 업데이트

databricks-ai-functions

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Use Databricks built-in AI Functions (ai_classify, ai_extract, ai_summarize, ai_mask, ai_translate, ai_fix_grammar, ai_gen, ai_analyze_sentiment, ai_similarity, ai_parse_document, ai_prep_search, ai_query, ai_forecast) to add AI capabilities directly to SQL and PySpark pipelines without managing model endpoints. Also covers document parsing and building custom RAG pipelines (parse → prep_search → index → query).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

databricks/databricks-agent-skills3542026년 10월 19일 업데이트

databricks-ai-runtime

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Databricks AI Runtime, the `databricks air` CLI commands for submitting and managing GPU training workloads on Databricks serverless compute. Use for: writing and submitting `databricks air` workload YAML, passing hyperparameters and secrets, checking run status, listing/cancelling runs, streaming a run's logs and watching its progress, custom Docker image setup, and environment configuration.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

databricks/databricks-agent-skills3542026년 10월 19일 업데이트

databricks-aibi-dashboards

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Create Databricks AI/BI dashboards. Must use when creating, updating, or deploying Lakeview dashboards as Databricks Dashboard have a unique json structure. CRITICAL: You MUST test ALL SQL queries via CLI BEFORE deploying. Follow guidelines strictly.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

databricks/databricks-agent-skills3542026년 10월 19일 업데이트

databricks-app-design

무료

Design the UX of custom-code Databricks Apps (AppKit/React) data screens — KPI/overview pages, reports, charts, tables, and Genie/chat data assistants — mapped to concrete AppKit components. Use when BUILDING or reviewing the UI of an AppKit/React app that displays data or answers data questions: choosing genre, layout, charts, KPIs, semantic color, required states (loading/empty/error), IBCS notation, and AI-result trust (showing generated SQL/sources for Genie/chat). A plain "create a dashboard" request means a managed AI/BI (Lakeview) dashboard → use databricks-aibi-dashboards, NOT this skill. Also NOT for non-data frontend (forms, settings, auth, marketing) or scaffolding/build/deploy (→ databricks-apps). Complements databricks-apps; use it alongside whenever a custom app has a chart, table, KPI, report, or Genie/chat/AI surface.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

databricks/databricks-agent-skills3542026년 10월 19일 업데이트

databricks-apps

무료

Build apps on Databricks Apps platform. Use when asked to create data apps, analytics tools, or custom interactive visualizations. A plain "create a dashboard" request means a managed AI/BI (Lakeview) dashboard → use databricks-aibi-dashboards, not this skill. Evaluates data access patterns (analytics vs Lakebase synced tables) before scaffolding. Invoke BEFORE starting implementation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

databricks/databricks-agent-skills3542026년 10월 19일 업데이트

databricks의 스킬 모두 보기

이 스킬의 문제 신고

설치

명령으로 설치

npx skills add https://github.com/databricks/databricks-agent-skills --skill databricks-genie-agents

터미널에 붙여 넣고 실행합니다(Node.js 필요). Claude Code, Codex 등 설치할 에이전트를 고를 수 있습니다.

에이전트에게 부탁하기

다음 Agent Skill을 설치해 주세요.
https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-genie-agents

먼저 SKILL.md와 첨부 파일의 내용을 확인해 수상한 처리(외부 전송, 인증 정보 읽기 등)가 없는지 확인한 뒤 Claude Code는 ~/.claude/skills/databricks-genie-agents/, Codex는 ~/.agents/skills/databricks-genie-agents/ 에 배치해 주세요.

이 문장을 그대로 Claude Code나 Codex에 보내면 내용을 확인한 뒤 설치해 줍니다.

GitHub에서 소스 보기

저장소: databricks/databricks-agent-skills
스타: 354
포크: 93
카테고리: 데이터·AI
원문 언어: 영어
최종 업데이트: 2026년 10월 19일

스킬은 에이전트를 위한 지시와 스크립트의 묶음입니다. cccskills는 내용의 안전성을 보증하지 않습니다. 설치하기 전에 내용을 확인하세요.