azure-observability

Helps you build, deploy, test, and manage AI agents and models on Microsoft Foundry, Microsoft's Azure service for AI. It guides the AI through each task with fixed steps.

Helps you find and fix problems in apps running on Azure, such as crashes, slow responses, or connection failures. It checks things in a set order and can work only from logs you provide.

azure-prepare gets a new or existing app ready to deploy to Azure with azd, Microsoft's command-line tool for Azure. It first writes a plan for your approval, then creates the setup files.

azure-deploy puts your app on Azure after the azure-prepare and azure-validate skills have prepared and checked it. It runs the deployment, recovers from errors, and gives you the live web addresses.

azure-validate checks your Azure app before you deploy it, so you can catch setup and permission problems early. It runs after azure-prepare and before azure-deploy.

azure-resource-lookup finds and lists your Azure resources, such as web apps, virtual machines, and storage accounts, across your subscriptions. It only reads data and never changes anything.

azure-resource-visualizer draws a diagram of an Azure resource group that shows how each resource connects to the others. It saves the diagram and notes in a markdown file.

Lets Claude search and summarize large amounts of logs and app data stored in Azure Data Explorer. You ask what you want to know, and it writes and runs the queries for you.

Helps you send all requests to your AI models and tools through Azure API Management, so you can control cost, block harmful content and limit traffic. It includes Azure command-line steps for setup and testing.

Helps you find and fix errors in apps that send and receive messages through Azure Event Hubs or Service Bus. It checks service health and Microsoft docs to suggest a fix.