Expert knowledge for Azure NAT Gateway development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and deployment. Use when managing SNAT ports, outbound IPs, flow logs/metrics, Standard vs StandardV2, or Azure Firewall egress, and other Azure NAT Gateway related development tasks. Not for Azure Virtual Network (use azure-virtual-network), Azure Load Balancer (use azure-load-balancer), Azure Virtual WAN (use azure-virtual-wan), Azure VPN Gateway (use azure-vpn-gateway).
npx skills add https://github.com/MicrosoftDocs/Agent-Skills --skill azure-nat-gateway
This skill provides expert guidance for Azure NAT Gateway. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and deployment. 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 | L36-L40 | Diagnosing and fixing NAT Gateway issues: reading flow logs, resolving misconfigurations, connectivity failures with Azure services, and outbound internet connection problems. |
| Best Practices | L41-L45 | Guidance on reducing SNAT port exhaustion and optimizing outbound connectivity patterns when using Azure NAT Gateway. |
| Decision Making | L46-L52 | Guidance on choosing NAT Gateway Standard vs StandardV2 SKUs and step-by-step migration of existing outbound access and gateways to StandardV2. |
| Architecture & Design Patterns | L53-L58 | Designing VNETs with NAT Gateway, choosing patterns for outbound connectivity, and scaling/combining NAT Gateway with Azure Firewall for secure, high-throughput egress traffic. |
| Limits & Quotas | L59-L63 | NAT Gateway limits, quotas, and behaviors: SNAT port allocation, connection scaling, IP/VM limits, per-subscription caps, and FAQs on throughput and high-connection scenarios. |
| Security | L64-L68 | Security best practices for NAT Gateway: hardening design, minimizing exposure, managing outbound IPs, monitoring traffic, and integrating with NSGs, firewalls, and other Azure security controls. |
| Configuration | L69-L77 | Configuring NAT Gateway and IPs, enabling/using flow logs, monitoring with metrics/logs and alerts, and deploying NAT Gateway V2 via ARM, Bicep, or Terraform. |
| Deployment | L78-L82 | Guides for redeploying NAT Gateway after cross-region moves and migrating VM outbound traffic from public IPs to use NAT Gateway |
| Topic | URL |
|-------|-----|
| Monitor and troubleshoot with NAT Gateway flow logs | https://learn.microsoft.com/en-us/azure/nat-gateway/monitor-nat-gateway-flow-logs |
| Topic | URL |
|-------|-----|
| Optimize SNAT usage with Azure NAT Gateway | https://learn.microsoft.com/en-us/azure/nat-gateway/nat-gateway-snat |
| Topic | URL |
|-------|-----|
| Migrate Azure NAT Gateway from Standard to StandardV2 | https://learn.microsoft.com/en-us/azure/nat-gateway/nat-gateway-v2-migrate |
| Choose between Azure NAT Gateway Standard SKUs | https://learn.microsoft.com/en-us/azure/nat-gateway/nat-sku |
| Migrate Azure outbound access to NAT Gateway | https://learn.microsoft.com/en-us/azure/nat-gateway/tutorial-migrate-outbound-nat |
| Topic | URL |
|-------|-----|
| Design Azure virtual networks with NAT Gateway | https://learn.microsoft.com/en-us/azure/nat-gateway/nat-gateway-design |
| Scale outbound traffic with NAT Gateway and Azure Firewall | https://learn.microsoft.com/en-us/azure/nat-gateway/tutorial-hub-spoke-nat-firewall |
| Topic | URL |
|-------|-----|
| Azure NAT Gateway FAQ with limits and behaviors | https://learn.microsoft.com/en-us/azure/nat-gateway/faq |
| Topic | URL |
|-------|-----|
| Apply security best practices to Azure NAT Gateway | https://learn.microsoft.com/en-us/azure/nat-gateway/secure-nat-gateway |
| Topic | URL |
|-------|-----|
| Manage Azure NAT Gateway configuration and IPs | https://learn.microsoft.com/en-us/azure/nat-gateway/manage-nat-gateway |
| Reference Azure NAT Gateway monitoring metrics and logs | https://learn.microsoft.com/en-us/azure/nat-gateway/monitor-nat-gateway-reference |
| Enable and use StandardV2 NAT Gateway flow logs | https://learn.microsoft.com/en-us/azure/nat-gateway/nat-gateway-flow-logs |
| Configure metrics and alerts for Azure NAT Gateway | https://learn.microsoft.com/en-us/azure/nat-gateway/nat-metrics |
| Deploy NAT Gateway V2 using ARM, Bicep, or Terraform | https://learn.microsoft.com/en-us/azure/nat-gateway/quickstart-create-nat-gateway-v2-templates |
| Topic | URL |
|-------|-----|
| Redeploy NAT gateway after cross-region resource moves | https://learn.microsoft.com/en-us/azure/nat-gateway/region-move-nat-gateway |
| Move VM public IP outbound traffic to NAT Gateway | https://learn.microsoft.com/en-us/azure/nat-gateway/tutorial-migrate-ilip-nat |
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-nat-gateway 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.