databricks-agent-bricks

Compose and orchestrate Databricks Agent Bricks for conversational AI apps.

1|Updated Dec 15, 2025

Search Tags:#ai #agent #orchestration #databricks #genie #mas #ka

Ready to run

npx skills add https://github.com/lucaslessachaves/default --skill databricks-agent-bricks-lucaslessachaves

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: databricks-agent-bricks
Source: https://github.com/lucaslessachaves/default/tree/main/.claude/skills/databricks-agent-bricks
Command: npx skills add https://github.com/lucaslessachaves/default --skill databricks-agent-bricks-lucaslessachaves

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables rapid creation and management of Databricks Agent Bricks—Knowledge Assistants for document Q&A, Genie Spaces for SQL exploration, and Supervisor Agents for multi-agent orchestration—so teams can build conversational AI applications faster.

Core Features & Use Cases

Create and manage Knowledge Assistants (KA) to answer questions from documents stored in Volumes.
Create and manage Genie Spaces for SQL exploration over Unity Catalog tables.
Create and manage Supervisor Agents (MAS) to orchestrate multiple specialized agents (KA, Genie Space, and endpoints) in a single workflow.
Prerequisites: Access to Volumes, Unity Catalog, and model serving endpoints; supports mixing KA, Genie Spaces, and MAS in a single Brick.

Quick Start

Provide a combined KA/Genie/MAS Brick configuration to fit your data and experimentation needs.

Frequently Asked Questions about databricks-agent-bricks

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

FAQPage Schema

How do I orchestrate multiple Databricks agents for conversational AI?▼

You orchestrate multiple Databricks agents by configuring Supervisor Agents (MAS) to coordinate Knowledge Assistants, Genie Spaces, and endpoints into a single multi-agent workflow. This approach enables rapid composition of specialized agents within Databricks environments.

Can I create a Genie Space for SQL exploration over Unity Catalog tables?▼

Yes, you can create and manage Genie Spaces for SQL exploration over Unity Catalog tables. This allows teams to build conversational analytics applications that query structured data directly through SQL-enabled interactions within Databricks.

How do I set up a Knowledge Assistant for document Q&A in Databricks?▼

To set up a Knowledge Assistant for document Q&A, you create and manage KA Bricks using the manage_ka API. You need documents stored in Volumes and a specific KA tile ID to enable the assistant to answer questions from your stored data.

Do I need Unity Catalog and model serving endpoints to build Databricks Agent Bricks?▼

Yes, building Databricks Agent Bricks requires access to Volumes, Unity Catalog, and model serving endpoints. These prerequisites provide the foundational data storage, governance, and compute resources needed to run conversational AI applications.

What's the best way to mix Knowledge Assistants, Genie Spaces, and MAS in one workflow?▼

The best way to mix KA, Genie Spaces, and MAS in one workflow is through a combined Brick configuration. This involves using manage_ka, manage_genie, and manage_mas APIs to integrate document Q&A, SQL analytics, and multi-agent orchestration together.

Why does my Databricks Agent Brick require a KA tile ID and Genie space ID?▼

Your Databricks Agent Brick requires a KA tile ID and Genie space ID because these identifiers serve as references for the manage_ka and manage_genie APIs to correctly route and manage the specific Knowledge Assistant and SQL exploration components.