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azure-fabric-data-agents-quickstart

Create a Fabric data agent, attach a lakehouse, and configure sources in a notebook.

Updated Apr 27, 2026
Search Tags:#automation#sdk#quickstart#fabric#notebook#lakehouse#data-agent
One-click install
npx skills add https://github.com/tomz/agent-skills --skill azure-fabric-data-agents-quickstart
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: azure-fabric-data-agents-quickstart
Source: https://github.com/tomz/agent-skills/tree/main/azure-fabric-data-agents-quickstart
Command: npx skills add https://github.com/tomz/agent-skills --skill azure-fabric-data-agents-quickstart

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This quickstart accelerates standing up a Microsoft Fabric Data Agent in a Fabric notebook, enabling chat-driven data access with an end-to-end, reproducible workflow.

Core Features & Use Cases

  • End-to-end quickstart: Create a data agent, attach a lakehouse, configure sources, and define agent-level instructions inside a Fabric notebook.
  • Guided publishing & testing: Load three few-shot examples, publish a consumable version, and perform a smoke test to verify behavior.
  • Notebook-first integration: Uses the fabric-data-agent-sdk to run inside Fabric notebooks for rapid experimentation and production-style deployment.

Quick Start

Follow the seven-step notebook workflow to bootstrap a Fabric Data Agent, connect a lakehouse, tailor instructions, load examples, publish, and smoke test.

Frequently Asked Questions about azure-fabric-data-agents-quickstart

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

FAQPage Schema
How do I create a Fabric Data Agent and attach a lakehouse in a notebook?▼

The quickstart workflow uses the fabric-data-agent-sdk inside a Fabric notebook to create a data agent, attach a lakehouse, and configure sources in a guided, repeatable pattern for production-style deployment.

What is the process to publish and smoke test a Fabric Data Agent?▼

Publishing a Fabric Data Agent involves loading three few-shot examples, publishing a consumable version, and running a smoke test to verify the agent's chat-driven behavior before production use.

Can I bootstrap a Microsoft Fabric Data Agent entirely from a notebook?▼

Yes, you can bootstrap a Fabric Data Agent entirely from a notebook using the fabric-data-agent-sdk, which enables end-to-end execution from lakehouse creation to publishing.

What's the best way to automate Fabric Data Agent setup for rapid experimentation?▼

The best way to automate Fabric Data Agent setup is using a notebook-first approach with the fabric-data-agent-sdk, providing a guarded, reproducible workflow to validate a working agent with minimal configuration.

Do I need a lakehouse before configuring data sources for a Fabric Data Agent?▼

Yes, you need to create and attach a lakehouse first, as the Fabric Data Agent requires a connected lakehouse to configure data sources and define agent-level instructions properly.

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