Expert knowledge for Azure Operator Service Manager development including troubleshooting, best practices, security, configuration, and integrations & coding patterns. Use when onboarding CNFs/VNFs, designing config groups, managing ACR artifacts, using ARM/CLI, or securing with Private Link, and other Azure Operator Service Manager related development tasks. Not for Azure Operator Nexus (use azure-operator-nexus), Azure Operator Insights (use azure-operator-insights), Azure Network Function Manager (use azure-network-function-manager), Azure Networking (use azure-networking).
npx skills add https://github.com/MicrosoftDocs/Agent-Skills --skill azure-operator-service-manager
This skill provides expert guidance for Azure Operator Service Manager. Covers troubleshooting, best practices, 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 | L33-L38 | Diagnosing and fixing AOSM onboarding issues with the Azure CLI extension and troubleshooting Helm chart installation failures in AOSM CNF deployments. |
| Best Practices | L39-L47 | Best practices for AOSM onboarding, config group design, Helm charts, artifact cleanup, and controlling CNF upgrade failure behavior. |
| Security | L48-L55 | Securing AOSM with Private Link, custom RBAC/roles, and User Assigned Managed Identities for controlled, least-privilege access and secure SNS/service operator deployments. |
| Configuration | L56-L65 | Configuring AOSM deployment behavior: cluster registry for edge resiliency, pausing/resuming site services, Helm cleanup/tests, NFO extension settings, and artifact store geo-replication. |
| Integrations & Coding Patterns | L66-L75 | Using CLI/ARM/Helm with AOSM to onboard CNFs/VNFs, manage images and artifacts (ACR/storage-backed stores), and add ARM resources to network service designs |
| Topic | URL |
|-------|-----|
| Troubleshoot Azure CLI AOSM extension onboarding issues | https://learn.microsoft.com/en-us/azure/operator-service-manager/troubleshoot-cli-common-issues |
| Diagnose Helm install failures in AOSM CNF deployments | https://learn.microsoft.com/en-us/azure/operator-service-manager/troubleshoot-helm-install-failures |
| Topic | URL |
|-------|-----|
| Apply onboarding and deployment best practices for AOSM | https://learn.microsoft.com/en-us/azure/operator-service-manager/best-practices-onboard-deploy |
| Design configuration groups effectively in Azure Operator Service Manager | https://learn.microsoft.com/en-us/azure/operator-service-manager/configuration-guide |
| Apply Helm chart best practices for Azure Operator Service Manager | https://learn.microsoft.com/en-us/azure/operator-service-manager/helm-requirements |
| Manage AOSM publisher artifact cleanup efficiently | https://learn.microsoft.com/en-us/azure/operator-service-manager/resource-cleanup-management |
| Control CNF upgrade failure behavior in AOSM | https://learn.microsoft.com/en-us/azure/operator-service-manager/safe-upgrades-nf-level-rollback |
| Topic | URL |
|-------|-----|
| Configure AOSM Private Link for secure backhaul | https://learn.microsoft.com/en-us/azure/operator-service-manager/get-started-with-private-link |
| Assign custom AOSM roles for secure SNS deployment | https://learn.microsoft.com/en-us/azure/operator-service-manager/how-to-assign-custom-role |
| Create custom RBAC roles for AOSM service operators | https://learn.microsoft.com/en-us/azure/operator-service-manager/how-to-create-custom-role |
| Configure and use User Assigned Managed Identity with AOSM | https://learn.microsoft.com/en-us/azure/operator-service-manager/how-to-create-user-assigned-managed-identity |
| Topic | URL |
|-------|-----|
| Set up AOSM cluster registry for edge resiliency | https://learn.microsoft.com/en-us/azure/operator-service-manager/get-started-with-cluster-registry |
| Interrupt and resume AOSM site network service deployments | https://learn.microsoft.com/en-us/azure/operator-service-manager/how-to-cancel-service-deployments |
| Override Helm failure cleanup behavior in AOSM deployments | https://learn.microsoft.com/en-us/azure/operator-service-manager/how-to-use-helm-option-parameters |
| Use CLI commands to configure NFO cluster extension | https://learn.microsoft.com/en-us/azure/operator-service-manager/manage-network-function-operator |
| Configure geo-replication for AOSM artifact stores | https://learn.microsoft.com/en-us/azure/operator-service-manager/publisher-artifact-store-resiliency |
| Configure Helm test integration for AOSM upgrades | https://learn.microsoft.com/en-us/azure/operator-service-manager/safe-upgrades-helm-test |
| Topic | URL |
|-------|-----|
| Use AOSM CLI to discover and upload CNF images | https://learn.microsoft.com/en-us/azure/operator-service-manager/concepts-cli-containerized-network-function-image-upload |
| Map Helm and ARM parameters to AOSM configuration | https://learn.microsoft.com/en-us/azure/operator-service-manager/concepts-expose-parameters-configuration-group-schema |
| Push and pull artifacts with ACR-backed AOSM artifact stores | https://learn.microsoft.com/en-us/azure/operator-service-manager/how-to-manage-artifacts-nexus |
| Push and pull artifacts with AOSM storage-backed stores | https://learn.microsoft.com/en-us/azure/operator-service-manager/how-to-manage-artifacts-virtualized-network-function-cloud |
| Add ARM resources to AOSM Network Service Designs via CLI | https://learn.microsoft.com/en-us/azure/operator-service-manager/how-to-onboard-azure-resource-manager-resources-cli |
| Onboard CNFs to AOSM using the CLI extension | https://learn.microsoft.com/en-us/azure/operator-service-manager/how-to-onboard-containerized-network-function-cli |
| Onboard VNFs to AOSM for deployment on Nexus | https://learn.microsoft.com/en-us/azure/operator-service-manager/how-to-onboard-virtualized-network-function-cli |
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-operator-service-manager from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
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same name cannot sit side by side — one of them will be ignored.