> browse/registry

> appinsights-instrumentation

Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. USE FOR: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices. DO NOT USE FOR: adding App Insights to my app (use azure-prepare), add telemetry to my project (use azure-prepare), add monitoring (use azure-prepare). This skill provides guidance—azure-prepar

> azure-aigateway

Configure Azure API Management (APIM) as AI Gateway to secure, observe, control AI models, MCP servers, agents. Helps with rate limiting, semantic caching, content safety, load balancing. USE FOR: AI Gateway, APIM, setup gateway, configure gateway, add gateway, model gateway, MCP server, rate limit, token limit, semantic cache, content safety, load balance, OpenAPI import, convert API to MCP. DO NOT USE FOR: deploy models (use microsoft-foundry), Azure Functions (use azure-functions), databases

> azure-deploy

Execute deployment to Azure. Final step after preparation and validation. Runs azd up, azd deploy, or infrastructure provisioning commands. USE FOR: run azd up, run azd deploy, execute deployment, provision infrastructure, push to production, go live, ship it, deploy web app, deploy container app, deploy static site, deploy Azure Functions, bicep deploy, terraform apply. DO NOT USE FOR: creating or building apps (use azure-prepare), validating before deploy (use azure-validate).

> azure-diagnostics

Debug and troubleshoot production issues on Azure. Covers Container Apps diagnostics, log analysis with KQL, health checks, and common issue resolution for image pulls, cold starts, and health probes. USE FOR: debug production issues, troubleshoot container apps, analyze logs with KQL, fix image pull failures, resolve cold start issues, investigate health probe failures, check resource health, view application logs, find root cause of errors DO NOT USE FOR: deploying applications (use azure-depl

> azure-observability

Azure Observability Services including Azure Monitor, Application Insights, Log Analytics, Alerts, and Workbooks. Provides metrics, APM, distributed tracing, KQL queries, and interactive reports.

> azure-postgres

Create new Azure Database for PostgreSQL Flexible Server instances and configure passwordless authentication with Microsoft Entra ID. Set up developer access, managed identities for apps, group-based permissions, and migrate from password-based to Entra ID authentication. Trigger phrases include "passwordless for postgres", "entra id postgres", "azure ad postgres authentication", "postgres managed identity", "migrate postgres to passwordless".

> azure-prepare

Default entry point for Azure application development. Invoke this skill for ANY application work related to Azure: creating apps, building features, adding components, updating code, migrating, or modernizing. Analyzes your project and prepares it for Azure deployment. USE FOR: create an app, build a web app, create API, create frontend, create backend, add a feature, build a service, make an application, develop a project, migrate my app, modernize my code, update my application, add database,

> azure-resource-lookup

List, find, and show Azure resources. Answers "list my VMs", "show my storage accounts", "list websites", "find container apps", "what resources do I have", and similar queries for any Azure resource type. USE FOR: list resources, list virtual machines, list VMs, list storage accounts, list websites, list web apps, list container apps, show resources, find resources, what resources do I have, list resources in resource group, list resources in subscription, find resources by tag, find orphaned r

> azure-cloud-shell

Expert knowledge for Azure Cloud Shell development including troubleshooting, limits & quotas, and security. Use when building, debugging, or optimizing Azure Cloud Shell applications. Not for Azure Portal (use azure-portal), Azure Virtual Machines (use azure-virtual-machines), Azure Resource Manager (use azure-resource-manager).

> azure-deployment-environments

Expert knowledge for Azure Deployment Environments development including troubleshooting, best practices, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building, debugging, or optimizing Azure Deployment Environments applications. Not for Azure DevTest Labs (use azure-devtest-labs), Azure Dev Box (use azure-dev-box), Azure Managed Applications (use azure-managed-applications), Azure Integration Environments (use azure-integration-environments)

> azure-storage

Azure Storage Services including Blob Storage, File Shares, Queue Storage, Table Storage, and Data Lake. Provides object storage, SMB file shares, async messaging, NoSQL key-value, and big data analytics capabilities. Includes access tiers (hot, cool, archive) and lifecycle management.

> entra-app-registration

Guides Microsoft Entra ID app registration, OAuth 2.0 authentication, and MSAL integration. USE FOR: create app registration, register Azure AD app, configure OAuth, set up authentication, add API permissions, generate service principal, MSAL example, console app auth, Entra ID setup, Azure AD authentication. DO NOT USE FOR: Azure RBAC or role assignments (use azure-rbac), Key Vault secrets (use azure-keyvault-expiration-audit), Azure resource security (use azure-security).

> microsoft-foundry

Use this skill to work with Microsoft Foundry (Azure AI Foundry): deploy AI models from catalog, build RAG applications with knowledge indexes, create and evaluate AI agents, manage RBAC permissions and role assignments, manage quotas and capacity, create Foundry resources. USE FOR: Microsoft Foundry, AI Foundry, deploy model, model catalog, RAG, knowledge index, create agent, evaluate agent, agent monitoring, create Foundry project, new Foundry project, set up Foundry, onboard to Foundry, provi

> agent-framework

Create AI agents and workflows using Microsoft Agent Framework SDK. Supports single-agent and multi-agent workflow patterns. USE FOR: create agent, build agent, scaffold agent, new agent, agent framework, workflow pattern, multi-agent, MCP tools, create workflow. DO NOT USE FOR: deploying agents (use agent/deploy), evaluating agents (use agent/evaluate), Azure AI Foundry agents without Agent Framework SDK.

> deploy-model

Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deploym

> capacity

Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quo

> customize

Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deploy

> preset

Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (us

> wiki-ado-convert

Converts VitePress/GFM wiki markdown to Azure DevOps Wiki-compatible format. Generates a Node.js build script that transforms Mermaid syntax, strips front matter, fixes links, and outputs ADO-compatible copies to dist/ado-wiki/.

> azure-keyvault-py

Azure Key Vault SDK for Python. Use for secrets, keys, and certificates management with secure storage. Triggers: "key vault", "SecretClient", "KeyClient", "CertificateClient", "secrets", "encryption keys".