skills/azure-iot/SKILL.md
Expert knowledge for Azure IoT development including decision making, architecture & design patterns, and integrations & coding patterns. Use when using MQTT/IoT Plug and Play, DPS/IoT Hub, SAP ERP integration, industrial IoT architectures, or device schemas, and other Azure IoT related development tasks. Not for Azure IoT Hub (use azure-iot-hub), Azure IoT Edge (use azure-iot-edge), Azure IoT Central (use azure-iot-central), Azure Defender For Iot (use azure-defender-for-iot).
npx skillsauth add microsoftdocs/agent-skills azure-iotInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This skill provides expert guidance for Azure IoT. Covers decision making, architecture & design patterns, 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), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools 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 | |----------|-------|-------------| | Decision Making | L31-L36 | Guidance on designing Azure Device Registry namespaces and schema registries, including structure, organization, and planning for IoT device data models and metadata. | | Architecture & Design Patterns | L37-L42 | Reference architectures and patterns for industrial IoT on Azure, including dataspace-based designs, component choices, and end-to-end implementation guidance for industrial scenarios. | | Integrations & Coding Patterns | L43-L46 | Patterns and code for integrating devices via MQTT and IoT Plug and Play, building device/service apps, formatting payloads, using DPS/IoT Hub, and connecting SAP ERP to Azure IoT. |
| Topic | URL | |-------|-----| | Design and choose Azure Device Registry namespaces | https://learn.microsoft.com/en-us/azure/iot/iot-device-registry-namespace-guidance | | Plan Azure Device Registry schema registries for IoT | https://learn.microsoft.com/en-us/azure/iot/iot-device-registry-schema-registry-guidance |
| Topic | URL | |-------|-----| | Enable industrial dataspace architectures on Azure | https://learn.microsoft.com/en-us/azure/iot/howto-iot-industrial-dataspaces | | Implement Azure industrial IoT reference architecture | https://learn.microsoft.com/en-us/azure/iot/tutorial-iot-industrial-solution-architecture |
| Topic | URL | |-------|-----| | Connect on-premises SAP ERP to Azure industrial IoT | https://learn.microsoft.com/en-us/azure/iot/howto-connect-on-premises-sap-to-azure |
tools
Expert knowledge for Microsoft Foundry (aka Azure AI Foundry) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents with Azure OpenAI, model router patterns, MCP tools, private networking, or eval workflows, and other Microsoft Foundry related development tasks. Not for Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foundry Local (use microsoft-foundry-local), Microsoft Foundry Tools (use microsoft-foundry-tools).
tools
Expert knowledge for Microsoft Foundry Local (aka Azure AI Foundry Local) development including troubleshooting, decision making, configuration, and integrations & coding patterns. Use when calling Foundry Local REST/chat APIs, tools, transcription, LangChain apps, Olive HF compilation, or CLI, and other Microsoft Foundry Local related development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foundry Tools (use microsoft-foundry-tools), Azure Local (use azure-local).
tools
Expert knowledge for Microsoft Foundry Classic (aka Azure AI Foundry classic) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents, configuring model routing, securing VNets/Private Link, integrating tools/SDKs, or deploying hubs, and other Microsoft Foundry Classic related development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Local (use microsoft-foundry-local), Microsoft Foundry Tools (use microsoft-foundry-tools).
development
Expert guidance for designing, assessing, and optimizing Azure workloads using Azure Well Architected. Covers design review checklists, recommendations, design principles, tradeoffs, service guides, workload patterns, and assessment questions. Use when designing AI, HPC, SaaS, AVD, or mission-critical workloads with WAF-aligned Azure patterns and guidance, and other Azure Well Architected related development tasks.