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.
Key Features
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
Use Cases
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
