Expert knowledge for Azure Cloud Services development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when managing Cloud Services guest OS upgrades, Key Vault certs, .csdef/.cscfg configs, autoscale, or migrations, and other Azure Cloud Services related development tasks. Not for Azure Virtual Machines (use azure-virtual-machines), Azure App Service (use azure-app-service), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Functions (use azure-functions).
npx skills add https://github.com/MicrosoftDocs/Agent-Skills --skill azure-cloud-services
This skill provides expert guidance for Azure Cloud Services. Covers troubleshooting, best practices, decision making, limits & quotas, security, configuration, and integrations & coding patterns. It combines local quick-reference content with remote documentation fetching capabilities.
> IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g., L35-L120), use read_file with the specified lines. For categories with file links (e.g., security.md), use read_file on the linked reference file
> IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.| Category | Lines | Description |
|----------|-------|-------------|
| Troubleshooting | L35-L39 | Diagnosing and fixing common migration errors when moving classic Cloud Services to Cloud Services (extended support), including deployment, configuration, and compatibility issues. |
| Best Practices | L40-L44 | Guidance on designing and configuring autoscale rules for Cloud Services, including metrics, thresholds, and patterns to optimize performance, reliability, and cost. |
| Decision Making | L45-L53 | Guidance on planning Cloud Services guest OS upgrades, comparing Cloud Services vs VM Scale Sets, and migrating classic/non-VNet Cloud Services to extended support and VNets. |
| Limits & Quotas | L54-L60 | VM instance size limits/capacities and timelines, impacts, and constraints related to Guest OS family retirements for Azure Cloud Services. |
| Security | L61-L66 | Using Key Vault for certificates in Cloud Services and understanding Azure Guest OS security updates, support lifecycle, and retirement policies |
| Configuration | L67-L85 | Configuring Cloud Services roles and deployments: .csdef/.cscfg schemas, networking, load balancers, diagnostics, RDP, Key Vault, extensions, alerts, and SKU/instance overrides |
| Integrations & Coding Patterns | L86-L91 | Automating Azure Cloud Services (extended support) with PowerShell: creating deployments, retrieving service details, and resetting or redeploying cloud service instances. |
| Topic | URL |
|-------|-----|
| Resolve common errors when migrating to Cloud Services extended support | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/in-place-migration-common-errors |
| Topic | URL |
|-------|-----|
| Configure autoscaling rules for Cloud Services deployments | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/configure-scaling |
| Topic | URL |
|-------|-----|
| Plan Azure Cloud Services Guest OS upgrade path | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/cloud-services-guestos-update-matrix |
| Compare Cloud Services and Virtual Machine Scale Sets features | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/feature-support-analysis |
| Plan migration from Cloud Services classic to extended support | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/in-place-migration-overview |
| Understand technical requirements for Cloud Services migration | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/in-place-migration-technical-details |
| Plan migration of non-VNet Cloud Services into VNets | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/non-vnet-migration |
| Topic | URL |
|-------|-----|
| VM size options and capacities for Cloud Services instances | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/available-sizes |
| Guest OS Family 1 retirement dates and deployment impact | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/cloud-services-guestos-family-1-retirement |
| Guest OS Families 2–4 retirement timelines and impact | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/cloud-services-guestos-family-2-3-4-retirement |
| Topic | URL |
|-------|-----|
| Securely store and use certificates with Key Vault in Cloud Services | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/certificates-and-key-vault |
| Understand support and retirement policy for Azure Guest OS | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/cloud-services-guestos-retirement-policy |
| Topic | URL |
|-------|-----|
| Understand Cloud Services model, config, and package files | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/cloud-services-model-and-package |
| Configure monitoring alerts for Cloud Services instances | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/enable-alerts |
| Enable Key Vault VM extension for Cloud Services roles | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/enable-key-vault-virtual-machine |
| Configure Remote Desktop extension for Cloud Services | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/enable-rdp |
| Configure Azure diagnostics extension for Cloud Services | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/enable-wad |
| Configure extensions for Azure Cloud Services (extended support) | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/extensions |
| Override Cloud Services SKU and instance count via allowModelOverride | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/override-sku |
| Reference schema for Cloud Services configuration (.cscfg) | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/schema-cscfg-file |
| Configure NetworkConfiguration for Cloud Services deployments | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/schema-cscfg-networkconfiguration |
| Configure role settings in Cloud Services .cscfg | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/schema-cscfg-role |
| Reference schema for Cloud Services definition (.csdef) | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/schema-csdef-file |
| Configure LoadBalancerProbe in Cloud Services definitions | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/schema-csdef-loadbalancerprobe |
| Configure NetworkTrafficRules in Cloud Services definitions | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/schema-csdef-networktrafficrules |
| Define and configure WebRole schema for Cloud Services | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/schema-csdef-webrole |
| Define and configure WorkerRole schema for Cloud Services | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/schema-csdef-workerrole |
| Topic | URL |
|-------|-----|
| Use PowerShell to create Cloud Services (extended support) | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/sample-create-cloud-service |
| Use PowerShell to retrieve Cloud Service details | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/sample-get-cloud-service |
| Use PowerShell to reset Cloud Services deployments | https://learn.microsoft.com/en-us/azure/cloud-services-extended-support/sample-reset-cloud-service |
Assess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic. WHEN: migrate to AKS Automatic, check AKS Automatic readiness, validate manifests for Automatic, assess cluster for Automatic compatibility, fix deployment for Automatic compatibility, identify AKS Automatic migration blockers, is my cluster ready for AKS Automatic.
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), quota increase requests (direct user to Azure Portal), listing existing deployments.
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 deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
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 deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
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 (use customize), PTU deployments (use customize).
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
Take microsoftdocs/azure-cloud-services from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.