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Found 260 Skills
Azure Application Insights SDK for .NET. Application performance monitoring and observability resource management. Use for creating Application Insights components, web tests, workbooks, analytics items, and API keys. Triggers: "Application Insights", "ApplicationInsights", "App Insights", "APM", "application monitoring", "web tests", "availability tests", "workbooks".
Expert guidance for Azure DevOps CLI (az devops) - automation, pipelines, repos, boards, and artifacts management. Use when working with Azure DevOps, managing pipelines, creating work items, or when user mentions ADO, builds, releases, or Azure repos.
Set up Azure Pipelines for CI/CD, configure build and release pipelines, manage Azure DevOps projects, and integrate with Azure services. Use when working with Azure DevOps Services or Server for enterprise DevOps workflows.
Check/manage Azure quotas and usage across providers. For deployment planning, capacity validation, region selection. WHEN: "check quotas", "service limits", "current usage", "request quota increase", "quota exceeded", "validate capacity", "regional availability", "provisioning limits", "vCPU limit", "how many vCPUs available in my subscription".
Azure cloud development guidelines for ARM templates, Azure Pipelines, Kubernetes, and cloud-native services.
Expert knowledge for Azure Synapse Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building, debugging, or optimizing Azure Synapse Analytics applications. Not for Azure Data Factory (use azure-data-factory), Azure Data Explorer (use azure-data-explorer), Azure Databricks (use azure-databricks), Azure Stream Analytics (use azure-stream-analytics).
Expert guidance for designing Azure solutions using Azure Architecture. Covers reference architectures, solution ideas, design patterns, technology choices, architecture styles, best practices, anti-patterns, example workloads, and migration guides. Use when selecting architecture patterns, choosing Azure services, or implementing production-ready solutions.
Author or modify Azure TypeSpec API specifications. USE FOR: Any task that creates, modifies, or troubleshoots .tsp files or TypeSpec API specifications — including but not limited to API versioning evolution(add new preview version, add new stable version), ARM resource type(tracked, proxy, extension, child resources) or data-plane resource definitions, resource operations (CRUD, PATCH, custom actions, paging, async/Long Running Operations), models, enums, unions, properties, decorators, constraints, parameters, and swagger-to-TypeSpec conversion. DO NOT USE FOR: SDK generation from TypeSpec, releasing SDK packages, single MCP tool calls that do not require multi-step workflows. TOOLS/COMMANDS: azsdk_typespec_generate_authoring_plan, azsdk_run_typespec_validation
Comprehensive Azure administration capabilities covering identity management, resource orchestration, CLI tooling, and DevOps automation. Auto-activates for Azure, az cli, azd, Entra ID, RBAC, and infrastructure tasks.
Build real-time voice AI applications with bidirectional WebSocket communication.
Comprehensive Azure cloud expertise covering all major services (App Service, Functions, Container Apps, AKS, databases, storage, monitoring). Use when working with Azure infrastructure, deployments, troubleshooting, cost optimization, IaC (Bicep/ARM), CI/CD pipelines, or any Azure-related development tasks. Provides scripts, templates, and best practices for production-ready Azure solutions.
Deploy prompt-based Azure AI agents from YAML definitions to Azure AI Foundry projects. Use when users want to (1) create and deploy Azure AI agents, (2) set up Azure AI infrastructure, (3) deploy AI models to Azure, or (4) test deployed agents interactively. Handles authentication, RBAC, quotas, and deployment complexities automatically.