Expert knowledge for Azure Partner Solutions development including troubleshooting, decision making, architecture & design patterns, security, configuration, and integrations & coding patterns. Use when using Service Connector to Confluent/MongoDB/Neon, Dynatrace/Datadog/Elastic/New Relic on Azure, or Palo Alto Cloud NGFW with App Gateway, and other Azure Partner Solutions related development tasks. Not for Azure Industry (use azure-industry), Azure Managed Applications (use azure-managed-applications), Azure Lighthouse (use azure-lighthouse), Azure Oracle (use azure-oracle).
npx skills add https://github.com/MicrosoftDocs/Agent-Skills --skill azure-partner-solutions
This skill provides expert guidance for Azure Partner Solutions. Covers troubleshooting, 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 | L34-L45 | Diagnosing and fixing setup, integration, and runtime issues for Confluent Kafka/Flink, Datadog, Dynatrace, Elastic Cloud, and New Relic (incl. log forwarding) on Azure |
| Decision Making | L46-L50 | Guidance on evaluating Dynatrace APM on Azure, starting a free trial from the portal/Marketplace, setup steps, and considerations before adopting it for monitoring. |
| Architecture & Design Patterns | L51-L55 | Architectural guidance for integrating Palo Alto Cloud NGFW with Azure Application Gateway, including network design, routing, security, and deployment patterns. |
| Security | L56-L61 | Managing security for Azure partner services, including Confluent Cloud RBAC in Azure portal and configuring SSO/access control for Informatica IDMC Azure resources. |
| Configuration | L62-L76 | Configuring and managing Azure-integrated partner resources (Datadog, Dynatrace, Elastic, MongoDB Atlas, New Relic, NGINXaaS, etc.), including prerequisites, settings, and integrations. |
| Integrations & Coding Patterns | L77-L81 | Patterns and setup guides for connecting Azure services to external data platforms (Confluent Cloud, MongoDB Atlas, Neon Postgres) using Service Connector and Foundry Agents. |
| Topic | URL |
|-------|-----|
| Troubleshoot Confluent Cloud Kafka and Flink on Azure | https://learn.microsoft.com/en-us/azure/partner-solutions/apache-kafka-confluent-cloud/troubleshoot |
| Diagnose and resolve Datadog on Azure issues | https://learn.microsoft.com/en-us/azure/partner-solutions/datadog/faq |
| Diagnose and fix Datadog Azure integration issues | https://learn.microsoft.com/en-us/azure/partner-solutions/datadog/troubleshoot |
| Troubleshoot Azure Native Dynatrace Service setup | https://learn.microsoft.com/en-us/azure/partner-solutions/dynatrace/faq |
| Troubleshoot Azure Native Dynatrace Service problems | https://learn.microsoft.com/en-us/azure/partner-solutions/dynatrace/troubleshoot |
| Troubleshoot Elastic Cloud integration on Azure | https://learn.microsoft.com/en-us/azure/partner-solutions/elastic/troubleshoot |
| Troubleshoot Azure Native New Relic Service issues | https://learn.microsoft.com/en-us/azure/partner-solutions/new-relic/troubleshoot |
| Diagnose New Relic log forwarding with Azure Copilot | https://learn.microsoft.com/en-us/azure/partner-solutions/new-relic/troubleshoot-logs-copilot |
| Topic | URL |
|-------|-----|
| Evaluate and start Dynatrace free trial on Azure | https://learn.microsoft.com/en-us/azure/partner-solutions/dynatrace/free-trial |
| Topic | URL |
|-------|-----|
| Deploy Cloud NGFW behind Azure Application Gateway | https://learn.microsoft.com/en-us/azure/partner-solutions/palo-alto/application-gateway |
| Topic | URL |
|-------|-----|
| Manage Confluent Cloud access control in Azure portal | https://learn.microsoft.com/en-us/azure/partner-solutions/apache-kafka-confluent-cloud/manage-access |
| Configure SSO and manage Informatica IDMC Azure resource | https://learn.microsoft.com/en-us/azure/partner-solutions/informatica/manage |
| Topic | URL |
|-------|-----|
| Manage configuration settings for Dell PowerScale in Azure | https://learn.microsoft.com/en-us/azure/partner-solutions/dell/manage |
| Configure Azure and Entra prerequisites for Dynatrace | https://learn.microsoft.com/en-us/azure/partner-solutions/dynatrace/configure-prerequisites |
| Manage Dynatrace Azure resource settings and integrations | https://learn.microsoft.com/en-us/azure/partner-solutions/dynatrace/manage |
| Manage Informatica serverless runtime environments in Azure | https://learn.microsoft.com/en-us/azure/partner-solutions/informatica/manage-serverless |
| Manage LambdaTest HyperExecute resource settings in Azure | https://learn.microsoft.com/en-us/azure/partner-solutions/lambda-test/manage |
| Manage MongoDB Atlas Azure resource configuration | https://learn.microsoft.com/en-us/azure/partner-solutions/mongo-db/manage |
| Manage configuration for Azure Native New Relic Service | https://learn.microsoft.com/en-us/azure/partner-solutions/new-relic/manage |
| Configure and manage NGINXaaS resources in Azure | https://learn.microsoft.com/en-us/azure/partner-solutions/nginx/manage |
| Configure Cloud NGFW by Palo Alto Networks in Azure | https://learn.microsoft.com/en-us/azure/partner-solutions/palo-alto/manage |
| Manage Azure Native Pure Storage Cloud settings | https://learn.microsoft.com/en-us/azure/partner-solutions/pure-storage/manage |
| Configure and manage Azure Native Qumulo settings | https://learn.microsoft.com/en-us/azure/partner-solutions/qumulo/manage |
| Topic | URL |
|-------|-----|
| Connect Confluent Cloud to Azure compute with Service Connector | https://learn.microsoft.com/en-us/azure/partner-solutions/apache-kafka-confluent-cloud/add-connectors |
| Integrate Microsoft Foundry Agents with MongoDB Atlas | https://learn.microsoft.com/en-us/azure/partner-solutions/mongo-db/connect-foundry-agents |
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-partner-solutions 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.