Cloud, CI/CD, monitoring, and deployment (6.8K skills)
Find documented fixes for known AKS errors by matching the exact error message and required conditions. Get an explanation of the cause, a proposed fix, a Microsoft Learn reference, and read-only verification steps.
Analyze existing Azure resources for waste and oversized capacity, and review Reservations or Savings Plans, Azure spending commitments. The skill separates measured costs from potential savings and recommends changes without modifying resources or purchasing commitments.
Find installable agent skills for Azure and Microsoft cloud tasks. The skill searches a catalog, checks candidate descriptions, identifies the plugin containing each match, and provides installation guidance for the agent client in use.
Assess existing cloud applications and convert their code and configuration for Azure. The skill produces a migration report, maps source services to Azure targets, and saves converted files separately from the original source.
Inspect an Azure resource group and document how its resources connect. The skill creates Mermaid diagrams, text-based architecture charts, alongside a resource inventory and explanations of network connections, data flows, identities, and dependencies in Markdown.
Plan, deploy, and operate rack-scale Azure Local environments with hundreds of machines. Guides workload management, managed networking, monitoring, and troubleshooting for multi-rack deployments, with specific procedures and checks for infrastructure changes.
Learn how to collect monitoring data from Azure-hosted web apps with Application Insights. Provides guidance on automatic and manual instrumentation, SDK configuration, and resource setup, with references for ASP.NET Core, Node.js, Python, and Container Apps.
Turn workload requirements into an enterprise Azure infrastructure plan and Bicep or Terraform configuration files. Covers networks, access controls, and disaster recovery, with validation, security checks, and approval gates before deployment.
Deploy prepared and validated applications to Azure using azd, Terraform, or Azure CLI deployment commands. Follows a deployment plan, performs preflight checks, handles errors, verifies endpoints and access roles, and reports deployed URLs.
Helps plan, create, and configure Azure Kubernetes Service clusters for running container workloads. Covers cluster type selection, networking, identity, monitoring, upgrades, scaling, and cost controls, with explanations for configuration choices that are difficult to change later.
Prepare applications for deployment with Azure Developer CLI (azd). The skill analyzes the project, builds a plan for approval, and generates azure.yaml, infrastructure definitions, and Dockerfiles before handing off to validation.
Create separate Microsoft Entra identities for AI agent instances and configure their permissions. The skill guides Microsoft Graph provisioning, token exchange, actions on behalf of users, cross-tenant authentication, and shared authentication containers for multiple programming languages.
Assess deployed Azure Functions and Azure App Service applications for resilience to failures. Review zone redundancy, storage replication, health checks, and regional failover, then apply approved improvements through Azure CLI or infrastructure configuration files.
Check Azure quotas, the limits on resource usage, alongside current usage and remaining allowance. Compare regions before deployment, investigate quota errors, and submit requests to increase adjustable limits using Azure CLI.
Choose and use Azure Storage services for files, shared folders, queues, and structured data. Covers listing and transferring blobs, comparing storage tiers by access frequency, redundancy options, and lifecycle management, with MCP tools and CLI examples.
Deploy Azure OpenAI models by checking available capacity in the current region first. If capacity is unavailable, reviews other regions and presents alternatives, then deploys with GlobalStandard and monitors deployment progress.
Find and list Azure resources across subscriptions and resource groups. Use it to build an inventory, count resources by type, check missing tags, or discover unattached disks through dedicated tools and Azure Resource Graph queries.
Review and configure Azure budgets and alerts, then check cost allocation tags and policy restrictions on virtual machine types and regions. Helps identify gaps in cost controls while keeping unavailable data distinct from zero spending.
Deploy Azure OpenAI models through a guided workflow. Choose the model version, deployment type, capacity, content filter, and supported advanced options, then review the configuration before deployment and monitor its status.
Deploy Flask, Django, FastAPI, or other Python code to Azure App Service on Linux. The skill creates missing hosting resources, configures startup and deployment builds, and selects Azure CLI or azd based on the project.
Set up AI Runway on an existing AKS cluster, from checking cluster health and GPU compatibility to installing model serving software, deploying a first AI model, and verifying that it runs.
Diagnose connection, authentication, and message processing problems in Azure Event Hubs and Azure Service Bus SDKs. Use error messages, configuration checks, service health, and diagnostic logs to identify fixes supported by Microsoft documentation.
Configure Azure API Management as a shared gateway for AI models, tools, and agents. Apply usage limits, caching, content checks, and load balancing, then test requests and track token consumption.
Turn an app idea or existing code into an Azure deployment. The skill selects services, plans the architecture, estimates costs, and generates infrastructure code, with approval steps before file generation and deployment.