인프라·DevOps 스킬

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.

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• Look up a documented fix for a specific AKS error
• Check the cause of a node pool creation failure
• Review verification steps before changing AKS resources

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.

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• Finding idle resources, unattached disks, and unused public IPs
• Reviewing whether Azure resource sizes fit actual needs
• Checking Reservations and Savings Plans usage

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.

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• Finding an Azure skill for a specific task
• Finding skills missing from the current agent setup
• Checking which plugin contains a matching skill

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.

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• Migrate AWS Lambda applications to Azure Functions
• Move Heroku or App Engine apps to Azure App Service
• Move Fargate or Cloud Run workloads to Azure Container Apps

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.

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• Creating diagrams of an existing Azure environment
• Reviewing network connections and data flows
• Documenting resources for a team handover

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.

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• Plan and deploy rack-scale Azure Local
• Manage virtual machines, AKS, images, and disks
• Configure network fabric and isolation domains

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.

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• Learn the basics of Application Insights
• Choose an instrumentation method for a hosting environment
• Review SDK setup for ASP.NET Core, Node.js, or Python

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.

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• Planning an Azure landing zone
• Designing networks, firewalls, and private endpoints
• Planning disaster recovery across multiple regions

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.

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• Deploy a prepared application to Azure
• Push code updates to an existing Azure deployment
• Run Terraform or Bicep deployments from a validated plan

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.

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• Plan a new AKS production environment
• Compare AKS Automatic and Standard
• Design cluster networking and security

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.

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• Prepare an existing app for deployment with azd
• Create azure.yaml for a project
• Generate Bicep or Terraform infrastructure definitions

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.

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• Create a separate identity for each agent instance
• Assign permissions to individual agents
• Configure authentication on behalf of users

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.

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• Assessing reliability gaps in deployed Azure applications
• Enabling zone redundancy and health checks
• Preserving reliability settings in Bicep or Terraform

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.

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• Checking remaining resource allowance before deployment
• Comparing quota availability across Azure regions
• Investigating quota exceeded errors

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.

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• Upload and download files in Blob Storage
• List storage accounts, containers, and blobs
• Compare Hot, Cool, Cold, and Archive tiers

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.

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• Deploying an Azure OpenAI model with preset settings
• Finding another region when the current region has no capacity
• Comparing model capacity across regions

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.

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• Listing Azure resources across subscriptions
• Finding Web Apps and App Services
• Checking resources for missing tags

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.

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• Check configured budgets and budget overruns
• Create budgets and configure alert thresholds
• Find resources missing CostCenter tags

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.

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• Deploy a specific model version
• Choose a deployment type and capacity
• Select a content filtering policy

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.

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• Deploy a Flask or Django application to Azure App Service
• Configure startup and deploy a FastAPI application
• Create missing resources needed to host a Python application

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.

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• Setting up AI Runway on an existing AKS cluster
• Checking GPU compatibility before deploying a model
• Choosing and installing model serving software

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.

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• Investigate messaging connection and authentication failures
• Diagnose expired message or session locks
• Investigate stopped consumers or duplicate events

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.

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• Set token limits and track AI usage
• Configure caching and load balancing for model requests
• Limit requests to MCP tools

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.

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• Choosing Azure services for an app idea
• Moving an existing app to Azure
• Estimating costs before deployment