microsoft

Secure and control AI models, MCP servers, and agents with Azure API Management. This skill helps set up rate limiting, semantic caching, content safety, and load balancing for AI deployments.

This skill provides comprehensive documentation and SDK references for Azure AI services including Search, Speech, OpenAI, Vision, Translation, and Document Intelligence. It helps developers quickly find the right APIs and code patterns for their AI solutions.

This skill provides step-by-step guidance for instrumenting web applications with Azure Application Insights, including SDK setup, configuration, and telemetry patterns for ASP.NET Core, Node.js, and Python apps.

Deploying LLMs on Azure Kubernetes Service requires orchestrating multiple components including GPU nodes, inference providers, and model artifacts. This skill guides you through the complete setup process from cluster verification to your first working model deployment.

Create AI agents and multi-agent workflows using Microsoft Agent Framework SDK. This skill scaffolds agent projects with tools, HTTP server support, and VSCode debugging configurations for enterprise AI applications.