Azure Iot

Name: Azure Iot
Author: microsoftdocs

microsoftdocs/agent-skills

101 installs
682 repo stars
Updated August 3, 2026
microsoftdocs/agent-skills

Helps with ai & agent building tasks during AI-assisted development.

About

azure-iot is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.

azure-iot
AI & Agent Building
AI-coding skill

Azure Iot by the numbers

101 all-time installs (skills.sh)
+12 installs in the week ending Aug 4, 2026 (Skillselion tracking)
Ranked #4,322 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
Data as of Aug 5, 2026 (Skillselion catalog sync)

npx skills add https://github.com/microsoftdocs/agent-skills --skill azure-iot

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Installs	101
repo stars	★ 682
Last updated	August 3, 2026
Repository	microsoftdocs/agent-skills ↗

What it does

Helps with ai & agent building tasks during AI-assisted development.

Files

SKILL.mdMarkdownGitHub ↗

Azure IoT Skill

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.

How to Use This Skill

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](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:

Preferred: Use mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.
Fallback: Use fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.

Category Index

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.

Decision Making

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

Architecture & Design Patterns

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