fabric-data-agent

Name: fabric-data-agent
Availability: InStock
Author: wardawgmalvicious

Configure Microsoft Fabric Data Agents for conversational question-answering across data sources.

2|1|Updated May 5, 2026

Search Tags:#AI #Microsoft Fabric #data agent #conversational Q&A #Azure OpenAI Assistant

Ready to run

npx skills add https://github.com/wardawgmalvicious/claude-config --skill fabric-data-agent-wardawgmalvicious

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: fabric-data-agent
Source: https://github.com/wardawgmalvicious/claude-config/tree/main/skills/fabric-data-agent
Command: npx skills add https://github.com/wardawgmalvicious/claude-config --skill fabric-data-agent-wardawgmalvicious

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill aids in configuring Microsoft Fabric Data Agents, allowing for conversational question-answering using Azure OpenAI Assistant APIs across multiple data sources.

Core Features & Use Cases

Multi-Source Routing: Route questions to the appropriate data source and generate relevant queries.
AI Integration: Build and manage conversational interfaces with AI assistance for data analysis.
Layered Instruction Architecture: Organize instructions into four layers for comprehensive data agent management.
Example Queries: Provide example queries to guide the agent in handling specific data queries.

Quick Start

Create a new Fabric Data Agent and define agent instructions, data source instructions, descriptions, and example queries using the skill template provided.

Frequently Asked Questions about fabric-data-agent

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

FAQPage Schema

How do I configure a Microsoft Fabric Data Agent for conversational Q&A?▼

To configure a Fabric Data Agent for conversational Q&A, define agent instructions, data source instructions, descriptions, and example queries using a structured four-layer instruction architecture to route questions across multiple data sources.

Does Microsoft Fabric Data Agent work with Azure OpenAI Assistant APIs?▼

Yes, Microsoft Fabric Data Agents integrate with Azure OpenAI Assistant APIs to enable AI-assisted conversational question-answering, allowing you to build conversational interfaces for interactive data analysis.

What is multi-source routing in Microsoft Fabric data agents?▼

Multi-source routing in Microsoft Fabric data agents is the mechanism that directs conversational questions to the appropriate connected data source and generates relevant queries to retrieve accurate answers.

How do I organize instructions for a Fabric Data Agent?▼

You organize Fabric Data Agent instructions using a layered instruction architecture, separating configurations into four distinct layers to comprehensively manage agent behavior and data source routing.

Do I need Microsoft Fabric and Azure OpenAI to use this data agent configuration?▼

Yes, you need active Microsoft Fabric and Azure OpenAI Assistant environments, plus knowledge of the four configuration layers, to successfully set up and manage conversational data agents.

Why provide example queries when setting up a Fabric Data Agent?▼

Providing example queries when setting up a Fabric Data Agent guides the AI assistant in handling specific data queries, improving query generation accuracy and routing across your connected data sources.