Expert knowledge for Azure Traffic Manager development including troubleshooting, best practices, decision making, architecture & design patterns, security, configuration, and integrations & coding patterns. Use when configuring profiles, routing methods, endpoints, RUM, Traffic View, or nested Traffic Manager designs, and other Azure Traffic Manager related development tasks. Not for Azure Front Door (use azure-front-door), Azure Load Balancer (use azure-load-balancer), Azure Application Gateway (use azure-application-gateway), Azure Virtual WAN (use azure-virtual-wan).
npx skills add https://github.com/MicrosoftDocs/Agent-Skills --skill azure-traffic-manager
This skill provides expert guidance for Azure Traffic Manager. Covers troubleshooting, best practices, decision making, architecture & design patterns, 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-L40 | Testing Traffic Manager routing behavior, verifying endpoint configuration, and diagnosing/fixing degraded or unhealthy Traffic Manager profiles and endpoints. |
| Best Practices | L41-L45 | Guidance on optimizing Traffic Manager profiles, endpoint configuration, monitoring, and routing settings for high performance, reliability, and low-latency global traffic distribution |
| Decision Making | L46-L51 | Guidance on choosing the right Traffic Manager routing method and using Traffic View analytics to optimize routing decisions and traffic distribution |
| Architecture & Design Patterns | L52-L59 | Architectural patterns for combining Traffic Manager with other Azure load balancers, nested profiles, App Service integration, and Traffic Manager + Application Gateway designs. |
| Security | L60-L64 | Best practices for securely configuring Traffic Manager profiles, endpoints, access controls, and monitoring to protect traffic routing and DNS-based load balancing. |
| Configuration | L65-L87 | Configuring Traffic Manager profiles, routing methods (weighted, geographic, subnet, multivalue), endpoints (including external), monitoring/logs, and automation via ARM, Bicep, Terraform, CLI, and PowerShell |
| Integrations & Coding Patterns | L88-L92 | Using Traffic Manager Real User Measurements (RUM) in apps and web pages, including integrating with Visual Studio App Center and adding the RUM JavaScript to collect user latency data. |
| Topic | URL |
|-------|-----|
| Verify and test Azure Traffic Manager routing configuration | https://learn.microsoft.com/en-us/azure/traffic-manager/traffic-manager-testing-settings |
| Diagnose and fix Azure Traffic Manager degraded status | https://learn.microsoft.com/en-us/troubleshoot/azure/traffic-manager/troubleshoot-traffic-manager-degraded-status |
| Topic | URL |
|-------|-----|
| Apply performance best practices for Azure Traffic Manager | https://learn.microsoft.com/en-us/azure/traffic-manager/traffic-manager-performance-considerations |
| Topic | URL |
|-------|-----|
| Choose appropriate Azure Traffic Manager routing methods | https://learn.microsoft.com/en-us/azure/traffic-manager/traffic-manager-routing-methods |
| Use Traffic View insights for Traffic Manager optimization | https://learn.microsoft.com/en-us/azure/traffic-manager/traffic-manager-traffic-view-overview |
| Topic | URL |
|-------|-----|
| Design solutions using Azure load-balancing portfolio | https://learn.microsoft.com/en-us/azure/traffic-manager/traffic-manager-load-balancing-azure |
| Design nested Traffic Manager profile architectures | https://learn.microsoft.com/en-us/azure/traffic-manager/traffic-manager-nested-profiles |
| Integrate Azure App Service with Traffic Manager routing | https://learn.microsoft.com/en-us/azure/traffic-manager/traffic-manager-use-azure-app-service |
| Architect solutions combining Traffic Manager and Application Gateway | https://learn.microsoft.com/en-us/azure/traffic-manager/traffic-manager-use-with-application-gateway |
| Topic | URL |
|-------|-----|
| Secure configuration practices for Azure Traffic Manager | https://learn.microsoft.com/en-us/azure/traffic-manager/secure-traffic-manager |
| Topic | URL |
|-------|-----|
| Define nested Multivalue routing with ARM templates | https://learn.microsoft.com/en-us/azure/traffic-manager/configure-multivalue-routing-method-template |
| Configure DNS record types and IPv6 in Traffic Manager | https://learn.microsoft.com/en-us/azure/traffic-manager/dns-record-types |
| Add external endpoints to Traffic Manager via ARM templates | https://learn.microsoft.com/en-us/azure/traffic-manager/how-to-add-endpoint-existing-profile-template |
| Define Traffic Manager profiles using Bicep | https://learn.microsoft.com/en-us/azure/traffic-manager/quickstart-create-traffic-manager-profile-bicep |
| Configure Traffic Manager profiles with ARM templates | https://learn.microsoft.com/en-us/azure/traffic-manager/quickstart-create-traffic-manager-profile-template |
| Provision Traffic Manager profiles using Terraform | https://learn.microsoft.com/en-us/azure/traffic-manager/quickstart-create-traffic-manager-profile-terraform |
| Configure MultiValue routing profiles in Traffic Manager | https://learn.microsoft.com/en-us/azure/traffic-manager/traffic-manager-configure-multivalue-routing-method |
| Configure subnet-based routing rules in Traffic Manager | https://learn.microsoft.com/en-us/azure/traffic-manager/traffic-manager-configure-subnet-routing-method |
| Enable and use Traffic Manager diagnostic resource logs | https://learn.microsoft.com/en-us/azure/traffic-manager/traffic-manager-diagnostic-logs |
| Configure geographic routing regions for Traffic Manager | https://learn.microsoft.com/en-us/azure/traffic-manager/traffic-manager-geographic-regions |
| Manage Traffic Manager endpoints across regions | https://learn.microsoft.com/en-us/azure/traffic-manager/traffic-manager-manage-endpoints |
| Create and manage Azure Traffic Manager profiles | https://learn.microsoft.com/en-us/azure/traffic-manager/traffic-manager-manage-profiles |
| Use Traffic Manager metrics and alerts for monitoring | https://learn.microsoft.com/en-us/azure/traffic-manager/traffic-manager-metrics-alerts |
| Configure endpoint monitoring and health checks in Traffic Manager | https://learn.microsoft.com/en-us/azure/traffic-manager/traffic-manager-monitoring |
| Manage Azure Traffic Manager with PowerShell (ARM) | https://learn.microsoft.com/en-us/azure/traffic-manager/traffic-manager-powershell-arm |
| Configure strictly typed profiles in Azure Traffic Manager | https://learn.microsoft.com/en-us/azure/traffic-manager/traffic-manager-strictly-typed-profiles |
| Configure Traffic Manager subnet override via Azure CLI | https://learn.microsoft.com/en-us/azure/traffic-manager/traffic-manager-subnet-override-cli |
| Configure Traffic Manager subnet override via PowerShell | https://learn.microsoft.com/en-us/azure/traffic-manager/traffic-manager-subnet-override-powershell |
| Configure weighted endpoint routing in Traffic Manager | https://learn.microsoft.com/en-us/azure/traffic-manager/tutorial-traffic-manager-weighted-endpoint-routing |
| Topic | URL |
|-------|-----|
| Integrate Visual Studio App Center apps with Traffic Manager RUM | https://learn.microsoft.com/en-us/azure/traffic-manager/traffic-manager-create-rum-visual-studio |
| Instrument web pages for Traffic Manager Real User Measurements | https://learn.microsoft.com/en-us/azure/traffic-manager/traffic-manager-create-rum-web-pages |
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-traffic-manager 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.