skills.rest
thbeh
thbehCOMMUNITY
Explore all skills by this author →
GitHub

databricks-agent-bricks

Creates Knowledge Assistants, Genie Spaces, and Supervisor Agents in Databricks.

Updated May 31, 2026
Search Tags:#AI#conversational AI#Genie Space#Databricks#Knowledge Assistant#Supervisor Agent
One-click install
npx skills add https://github.com/thbeh/coding-agents-databricks-apps --skill databricks-agent-bricks-thbeh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: databricks-agent-bricks
Source: https://github.com/thbeh/coding-agents-databricks-apps/tree/main/.claude/skills/databricks-agent-bricks
Command: npx skills add https://github.com/thbeh/coding-agents-databricks-apps --skill databricks-agent-bricks-thbeh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill unit simplifies the creation and management of conversational AI applications on Databricks, providing tools for document Q&A, SQL exploration, and multi-agent orchestration.

Core Features & Use Cases

  • Knowledge Assistants (KA): Create Q&A systems from indexed documents for information retrieval.
  • Genie Spaces: Perform SQL-based data exploration and analytics.
  • Supervisor Agents (MAS): Orchestrate multiple agents for unified conversational experiences.
  • Use Case: Develop a comprehensive support system that combines document-based Q&A, SQL analytics, and multi-agent routing to provide a seamless customer support experience.

Quick Start

Use the databricks-agent-bricks skill to create a Supervisor Agent for customer support that includes a Knowledge Assistant for policy questions and a Genie Space for data analysis.

Frequently Asked Questions about databricks-agent-bricks

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a conversational AI application on Databricks for document Q&A?▼

To build a conversational AI application on Databricks, you can use this Skill to create Knowledge Assistants that provide document Q&A capabilities by indexing documents for information retrieval.

Can I use Databricks Genie Spaces for SQL-based data exploration within an AI assistant?▼

Yes, you can configure Databricks Genie Spaces to enable SQL-based data exploration and analytics, allowing users to query data conversationally within your AI assistant.

What is a Supervisor Agent in Databricks multi-agent orchestration?▼

A Supervisor Agent in Databricks multi-agent orchestration coordinates multiple specialized agents, such as Knowledge Assistants and Genie Spaces, to provide a unified conversational experience.

Do I need Unity Catalog and Model Serving to create multi-agent systems in Databricks?▼

Yes, creating multi-agent systems and conversational AI applications with this Skill requires Databricks Unity Catalog and Model Serving capabilities to manage data and deploy agents.

How do I combine document Q&A and SQL analytics into a single customer support chatbot?▼

You can combine document Q&A and SQL analytics by deploying a Supervisor Agent that routes customer queries to a Knowledge Assistant for policies and a Genie Space for data analysis.

Related Skills

Explore More Software Engineering Skills→
m19cm19c

databricks-model-serving

Deploy and query MLflow models and AI agents on Databricks Model Serving endpoints.

Community
Advanced
IndustrialIndustrial

machine-learning-ops-ml-pipeline

Orchestrate multi-agent design, build, deployment, and monitoring of ML pipelines.

Community
Advanced
nilecuinilecui
27

rag-implementation

Build RAG systems integrating vector databases and semantic search for LLM applications.

Community
Advanced
LaurentPRAT-DBLaurentPRAT-DB

databricks-genai

Develop and deploy Generative AI applications on the Databricks platform.

Community
Advanced