Expert knowledge for Azure Networking development including troubleshooting, decision making, architecture & design patterns, security, and configuration. Use when designing VNets, hub-spoke/Virtual WAN, Azure Firewall/DDoS, NSG/ASG rules, or private DNS, and other Azure Networking related development tasks. Not for Azure Virtual Network (use azure-virtual-network), Azure Virtual Network Manager (use azure-virtual-network-manager), Azure Virtual WAN (use azure-virtual-wan), Azure Network Watcher (use azure-network-watcher).
npx skills add https://github.com/MicrosoftDocs/Agent-Skills --skill azure-networking
This skill provides expert guidance for Azure Networking. Covers troubleshooting, decision making, architecture & design patterns, security, and configuration. 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-L37 | Monitoring tools and step-by-step guidance to diagnose, troubleshoot, and resolve issues with Azure virtual networks, connectivity, performance, and other network resources. |
| Decision Making | L38-L54 | Guidance for choosing Azure networking architectures: load balancing, hybrid/multicloud connectivity, private access, secure topologies, and internet ingress/egress design. |
| Architecture & Design Patterns | L55-L67 | Designing secure Azure network topologies (hub-spoke, flat, multi-region, Virtual WAN), planning IP ranges/subnets, and applying common workload-specific network patterns. |
| Security | L68-L78 | Designing secure Azure networks: firewall and DDoS tiers, VM access, DNS/private name resolution, NSG/ASG rules, WAF protection, and policy-based compliance for network resources. |
| Configuration | L79-L82 | Configuring and centrally managing multiple VNets using Azure Virtual Network Manager, including network groups, connectivity, security rules, and governance at scale. |
| Topic | URL |
|-------|-----|
| Monitor and troubleshoot Azure network resources | https://learn.microsoft.com/en-us/azure/networking/design-guide/monitor |
| Topic | URL |
|-------|-----|
| Use Azure region latency stats for architecture decisions | https://learn.microsoft.com/en-us/azure/networking/azure-network-latency |
| Choose Azure load balancing and app delivery options | https://learn.microsoft.com/en-us/azure/networking/design-guide/app-delivery |
| Plan cross-cloud connectivity with Azure networking | https://learn.microsoft.com/en-us/azure/networking/design-guide/cross-cloud |
| Plan cross-region and multicloud connectivity in Azure | https://learn.microsoft.com/en-us/azure/networking/design-guide/cross-region |
| Choose hybrid connectivity: VPN vs ExpressRoute | https://learn.microsoft.com/en-us/azure/networking/design-guide/hybrid-connectivity |
| Select Azure services for internet ingress | https://learn.microsoft.com/en-us/azure/networking/design-guide/internet-ingress |
| Plan lift-and-shift Azure network designs | https://learn.microsoft.com/en-us/azure/networking/design-guide/lift-and-shift |
| Design networks for migrate-and-modernize workloads | https://learn.microsoft.com/en-us/azure/networking/design-guide/migrate-modernize |
| Control outbound internet egress from Azure VNets | https://learn.microsoft.com/en-us/azure/networking/design-guide/outbound-egress |
| Select private access options for Azure PaaS | https://learn.microsoft.com/en-us/azure/networking/design-guide/private-platform-as-a-service |
| Decide when to use core Azure network foundation services | https://learn.microsoft.com/en-us/azure/networking/foundations/network-foundations-overview |
| Choose a secure Azure application delivery service | https://learn.microsoft.com/en-us/azure/networking/secure-application-delivery |
| Select a secure Azure network topology | https://learn.microsoft.com/en-us/azure/networking/secure-network-topology |
| Topic | URL |
|-------|-----|
| Deploy a Zero Trust virtual network for web apps | https://learn.microsoft.com/en-us/azure/networking/create-zero-trust-network-web-apps |
| Design a secure hub-spoke network for Azure web apps | https://learn.microsoft.com/en-us/azure/networking/cross-service-scenarios/design-secure-hub-spoke-network |
| Implement a single-workload flat VNet topology | https://learn.microsoft.com/en-us/azure/networking/design-guide/flat-network |
| Design hub-and-spoke network topology in Azure | https://learn.microsoft.com/en-us/azure/networking/design-guide/hub-spoke |
| Plan IP addressing for Azure virtual networks | https://learn.microsoft.com/en-us/azure/networking/design-guide/ip-planning |
| Design multi-region Azure network architectures | https://learn.microsoft.com/en-us/azure/networking/design-guide/multi-region |
| Architect global transit networks with Azure Virtual WAN | https://learn.microsoft.com/en-us/azure/networking/design-guide/virtual-wan |
| Design Azure virtual networks and subnet layouts | https://learn.microsoft.com/en-us/azure/networking/design-guide/vnets-subnets |
| Apply common Azure networking workload patterns | https://learn.microsoft.com/en-us/azure/networking/design-guide/workload-patterns |
| Topic | URL |
|-------|-----|
| Design Azure Firewall tiers and traffic inspection | https://learn.microsoft.com/en-us/azure/networking/design-guide/azure-firewall |
| Select Azure DDoS protection tiers for networks | https://learn.microsoft.com/en-us/azure/networking/design-guide/ddos |
| Secure developer and admin access to Azure VMs | https://learn.microsoft.com/en-us/azure/networking/design-guide/developer-admin-access |
| Design secure DNS and private name resolution in Azure | https://learn.microsoft.com/en-us/azure/networking/design-guide/dns-security |
| Secure Azure VNets with NSGs and ASGs | https://learn.microsoft.com/en-us/azure/networking/design-guide/network-application-security-groups |
| Protect web apps with Azure Web Application Firewall | https://learn.microsoft.com/en-us/azure/networking/design-guide/web-application-firewall |
| Apply Azure Policy compliance controls to networking | https://learn.microsoft.com/en-us/azure/networking/security-controls-policy |
| Topic | URL |
|-------|-----|
| Manage Azure VNets centrally with Virtual Network Manager | https://learn.microsoft.com/en-us/azure/networking/design-guide/azure-virtual-network-manager |
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-networking 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.