Expert knowledge for Azure Private Link development including best practices, decision making, architecture & design patterns, limits & quotas, security, and configuration. Use when configuring Private Endpoints, DNS/Private Resolver, NSP perimeters, Azure Firewall traffic, or IPv6/SNAT, and other Azure Private Link related development tasks. Not for Azure Virtual Network (use azure-virtual-network), Azure Virtual Network Manager (use azure-virtual-network-manager), Azure VPN Gateway (use azure-vpn-gateway), Azure ExpressRoute (use azure-expressroute).
npx skills add https://github.com/MicrosoftDocs/Agent-Skills --skill azure-private-link
This skill provides expert guidance for Azure Private Link. Covers best practices, decision making, architecture & design patterns, limits & quotas, 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 |
|----------|-------|-------------|
| Best Practices | L34-L38 | DNS design and configuration guidance for private endpoints, including zone setup, name resolution patterns, split-horizon DNS, and avoiding common DNS misconfigurations with Private Link |
| Decision Making | L39-L44 | Guidance on choosing perimeter access modes and designing Azure Private Link setups, focusing on security tradeoffs, cost optimization, and migration/transition considerations. |
| Architecture & Design Patterns | L45-L49 | Designing DNS architectures for Private Endpoints using Azure Private Resolver, including name resolution patterns, forwarding rules, and integration with on-premises or hybrid networks |
| Limits & Quotas | L50-L56 | Details on Private Link/Endpoint capacity limits, per‑VNet scaling (High Scale), resource availability checks, and common behaviors/FAQs around quotas and constraints |
| Security | L57-L64 | RBAC setup for Private Link and Network Security Perimeters, security best practices, and inspecting/controlling Private Endpoint traffic with Azure Firewall. |
| Configuration | L65-L82 | Configuring Azure Private Link and endpoints: NSP perimeters, routing, subnet/network policies, DNS, IPv6, SNAT, monitoring, diagnostics, and endpoint properties via portal, CLI, and PowerShell |
| Topic | URL |
|-------|-----|
| Apply DNS integration best practices for Azure Private Endpoints | https://learn.microsoft.com/en-us/azure/private-link/private-endpoint-dns-integration |
| Topic | URL |
|-------|-----|
| Choose and transition Azure network security perimeter access modes | https://learn.microsoft.com/en-us/azure/private-link/network-security-perimeter-transition |
| Optimize Azure Private Link design for cost and security | https://learn.microsoft.com/en-us/azure/private-link/private-link-cost-optimization |
| Topic | URL |
|-------|-----|
| Design DNS infrastructure for Private Endpoints with Azure Private Resolver | https://learn.microsoft.com/en-us/azure/private-link/tutorial-dns-on-premises-private-resolver |
| Topic | URL |
|-------|-----|
| Check Azure Private Link service availability by resource | https://learn.microsoft.com/en-us/azure/private-link/availability |
| Increase Azure Private Endpoint per‑VNet limits with High Scale | https://learn.microsoft.com/en-us/azure/private-link/increase-private-endpoint-vnet-limits |
| Azure Private Link limits, behaviors, and FAQs | https://learn.microsoft.com/en-us/azure/private-link/private-link-faq |
| Topic | URL |
|-------|-----|
| Configure RBAC permissions for Azure Network Security Perimeter operations | https://learn.microsoft.com/en-us/azure/private-link/network-security-perimeter-role-based-access-control-requirements |
| Configure RBAC permissions for Azure Private Link | https://learn.microsoft.com/en-us/azure/private-link/rbac-permissions |
| Apply security best practices to Azure Private Link | https://learn.microsoft.com/en-us/azure/private-link/secure-private-link |
| Inspect and control Private Endpoint traffic using Azure Firewall | https://learn.microsoft.com/en-us/azure/private-link/tutorial-inspect-traffic-azure-firewall |
| Topic | URL |
|-------|-----|
| Configure cross-perimeter links for Azure NSPs | https://learn.microsoft.com/en-us/azure/private-link/configure-perimeter-link |
| Configure Private Link service Direct Connect routing | https://learn.microsoft.com/en-us/azure/private-link/configure-private-link-service-direct-connect |
| Configure standard service endpoints using Azure CLI | https://learn.microsoft.com/en-us/azure/private-link/configure-service-endpoint-standard-cli |
| Configure standard service endpoints in Azure portal | https://learn.microsoft.com/en-us/azure/private-link/configure-service-endpoint-standard-portal |
| Configure standard service endpoints with PowerShell | https://learn.microsoft.com/en-us/azure/private-link/configure-service-endpoint-standard-powershell |
| Create and manage network security perimeters with Azure CLI | https://learn.microsoft.com/en-us/azure/private-link/create-network-security-perimeter-cli |
| Create and manage a network security perimeter in portal | https://learn.microsoft.com/en-us/azure/private-link/create-network-security-perimeter-portal |
| Configure subnet network policies for private endpoints | https://learn.microsoft.com/en-us/azure/private-link/disable-private-endpoint-network-policy |
| Configure privateLinkServiceNetworkPolicies for Private Link | https://learn.microsoft.com/en-us/azure/private-link/disable-private-link-service-network-policy |
| Configure and manage Azure Private Endpoint properties | https://learn.microsoft.com/en-us/azure/private-link/manage-private-endpoint |
| Reference for Azure Private Link monitoring data | https://learn.microsoft.com/en-us/azure/private-link/monitor-private-link-reference |
| Enable and store Network Security Perimeter diagnostic logs | https://learn.microsoft.com/en-us/azure/private-link/network-security-perimeter-diagnostic-logs |
| Configure private DNS zones for Azure Private Endpoints | https://learn.microsoft.com/en-us/azure/private-link/private-endpoint-dns |
| Configure SNAT bypass tags for Private Endpoint traffic via NVA | https://learn.microsoft.com/en-us/azure/private-link/private-link-disable-snat |
| Configure Azure Private Link over IPv6 connectivity | https://learn.microsoft.com/en-us/azure/private-link/private-link-ipv6 |
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-private-link 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.