云、CI/CD、监控、部署（6837 个）
Find the Azure portal screen for a specific operation and generate a direct link. Provide a supported resource’s URL or resource ID plus a plain-language query to locate the relevant menu.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。
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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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.
中文简介正在准备中。当前显示英语简介。
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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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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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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Assess whether an application is ready for Azure before infrastructure planning. Inspect source files and configuration without running builds or tests, then report component readiness, dependency compatibility, deployment blockers, and preparation needed before deployment.
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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, 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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Find Azure OpenAI deployment locations that meet a required token rate. Compare accessible regions and projects, check platform capacity and subscription quotas, and receive a ranked table of candidates before moving to a separate deployment workflow.
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Assess and carry out upgrades within Azure, including Functions hosting plans and Redis migrations. Guides readiness checks, settings transfer, deployment, and validation, with a separate workflow for updating legacy Azure Java SDK code.
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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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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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Route Azure virtual machine requests to workflows for choosing sizes, comparing prices, creating machines or scale sets, reserving capacity, and managing machine enrollment and monitoring. Helps identify the appropriate process for each infrastructure task.
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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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Check whether an application is ready for Azure deployment by validating configuration, infrastructure definitions, role assignments, and managed identity permissions. Follow a staged workflow that records progress and identifies issues to resolve before deployment.
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Assess existing AKS clusters or local Kubernetes configuration files for AKS Automatic compatibility. Identify migration blockers, distinguish required changes from automatic adjustments, and present proposed file changes and migration steps.
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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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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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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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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.
中文简介正在准备中。当前显示英语简介。