Can I use this skill to evaluate my AI agent's performance?

Yes, it includes specialized tools to measure intent resolution, task adherence, and tool call accuracy, providing a score from 1 to 5 for each metric.

What tools are required to use the Microsoft Foundry skill?

You need an active Azure subscription, the Azure CLI (az) installed and authenticated, and appropriate permissions to create AI resources.

How does the RAG integration work within this skill?

The skill helps you create and query knowledge indexes, facilitating Retrieval-Augmented Generation by combining Azure AI Search with your deployed models for grounded responses.

Does this skill support models from publishers other than OpenAI?

Yes, you can use this skill to discover and deploy models from various publishers in the Azure catalog, including Meta, Microsoft, and Mistral.

What is the Microsoft Foundry skill used for?

This skill is designed to manage Azure AI Foundry resources, specifically for deploying AI models, creating knowledge indexes for RAG applications, and building or evaluating AI agents.

Microsoft AI Foundry

Name: Microsoft AI Foundry
Author: microsoft

bymicrosoft

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109

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云基础设施

Deploys AI models, builds RAG applications, and manages AI agents using Microsoft Azure AI Foundry.

The Microsoft Foundry skill enables developers to seamlessly integrate Azure AI capabilities into their Claude Code workflows. It provides specialized tools for discovering and deploying models from the extensive catalog, implementing Retrieval-Augmented Generation (RAG) with knowledge indexes, and building sophisticated AI agents with web search and custom function tools. Whether you are setting up vector searches or evaluating agent performance with built-in metrics like intent resolution and task adherence, this skill streamlines the end-to-end lifecycle of production-grade AI applications on Azure.

主要功能

01Create sophisticated AI agents with web search and custom function tools

02109 GitHub stars

03Discover and deploy models from Microsoft, OpenAI, and Meta catalogs

04Manage Azure AI resources and endpoints directly via CLI and MCP tools

05Evaluate agent performance with intent resolution and task adherence metrics

06Build RAG applications using Azure AI Search and hybrid vector indexing

使用场景

01Building a RAG-based assistant that cites internal documents using knowledge indexes

02Deploying a GPT-4o model to a specific Azure region for production use

03Running automated evaluations to benchmark AI agent accuracy and safety

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microsoft/github-copilot-for-azure microsoft-foundry

For use in Claude.ai and ChatGPT

Download Skill