Azure Bicep Skill
timothywarner-org/claude-code
A skill your agent uses when authoring, reviewing, or refactoring Azure Bicep code.
Expert knowledge for Azure IoT Edge development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations &…
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-iot-edge -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-iot-edge --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/azure-iot-edge .claude/skills/azure-iot-edge && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "azure-iot-edge" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-iot-edge into .claude/skills/azure-iot-edge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-iot-edge", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-iot-edgeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-iot-edge -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-iot-edge --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/azure-iot-edge .agents/skills/azure-iot-edge && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "azure-iot-edge" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-iot-edge into .agents/skills/azure-iot-edge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-iot-edge", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-iot-edge -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-iot-edge --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/azure-iot-edge .cursor/skills/azure-iot-edge && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "azure-iot-edge" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-iot-edge into .cursor/skills/azure-iot-edge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-iot-edge", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/MicrosoftDocs/Agent-Skills.git --path skills/azure-iot-edge--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-iot-edge -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-iot-edge --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/azure-iot-edge .gemini/skills/azure-iot-edge && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "azure-iot-edge" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-iot-edge into .gemini/skills/azure-iot-edge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-iot-edge", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install MicrosoftDocs/Agent-Skills azure-iot-edgeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-iot-edge -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/azure-iot-edge .github/skills/azure-iot-edge && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "azure-iot-edge" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-iot-edge into .github/skills/azure-iot-edge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-iot-edge", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-iot-edge -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-iot-edge --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/azure-iot-edge .opencode/skills/azure-iot-edge && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "azure-iot-edge" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-iot-edge into .opencode/skills/azure-iot-edge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-iot-edge", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
azure-iot-edgeExpert knowledge for Azure IoT Edge development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations &…
Azure Iot Edge is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert knowledge for Azure IoT Edge development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring EFLOW devices, DPS/X.509 provisioning, gateway/nested topologies, CI/CD deployments, or IoT Edge metrics/logs, and other Azure IoT Edge related development tasks. Not for Azure IoT Hub (use azure-iot-hub), Azure IoT (use azure-iot), Azure IoT Operations (use…
Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires network access. Uses mcpmicrosoftdocs:microsoftdocsfetch or fetchwebpage to retrieve documentation.
It sits in DevOps & Cloud, covering Deployment, Design patterns and CI/CD. It works with Microsoft Azure. The repository describes itself as: Curated Agent Skills for Microsoft & Azure – giving AI coding assistants structured, real-time expertise from Microsoft Learn docs. The licence is CC-BY-4.0.
Read from SKILL.md and the folder at commit ba74e8f. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
learn.microsoft.comgithub.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
From compatibility in the SKILL.md frontmatter.
Azure Iot Edge loads about 3.7k tokens when it runs. Until then it costs about 147 tokens; SKILL.md has 1,067 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from MicrosoftDocs/Agent-Skills at commit ba74e8f, republished under its CC-BY-4.0 licence (© MicrosoftDocs). 1,067 words, ~3,710 tokens.
.claude/skills/azure-iot-edge/SKILL.md (or your agent's skills folder).This skill provides expert guidance for Azure IoT Edge. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. 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 |
|---|---|---|
| Troubleshooting | L37-L47 | Diagnosing and fixing IoT Edge device/runtime issues, monitoring and metrics problems, Azure portal troubleshooting, and EFLOW/Windows networking and common error resolutions. |
| Best Practices | L48-L55 | Monitoring and production guidance for IoT Edge: using Azure Monitor workbooks, tracking module twin health, implementing observability, and applying production-ready best practices. |
| Decision Making | L56-L62 | Guidance on choosing IoT Edge/EFLOW platforms, provisioning methods, networking setups, and nested virtualization options for different deployment scenarios. |
| Architecture & Design Patterns | L63-L69 | Design patterns for IoT Edge topologies: gateway scenarios, offline/intermittent connectivity strategies, and configuring multi-level (nested) Edge hierarchies for complex deployments |
| Limits & Quotas | L70-L74 | Azure IoT Edge resource limits and quotas, including module, deployment, message, and device constraints, plus scalability and performance-related restrictions. |
| Security | L75-L88 | Securing IoT Edge: certificates and X.509 provisioning, dTPM/EFLOW security, confidential computing modules, EST server setup, downstream auth, and Private Link/endpoint traffic protection. |
| Configuration | L89-L120 | Configuring IoT Edge devices and EFLOW: networking, gateways, proxies, storage, GPUs, provisioning (DPS, keys, X.509), module options, metrics, and host/VM integration. |
| Integrations & Coding Patterns | L121-L130 | Working with IoT Edge metrics, logs, and direct methods, integrating custom modules with IoT Hub, and managing IoT Edge on EFLOW via PowerShell for monitoring and remote operations. |
| Deployment | L131-L143 | Deploying and updating IoT Edge at scale: CI/CD pipelines, portal/CLI deployments, Kubernetes/VM installs, runtime updates, and supported platforms for devices and device groups. |
| Topic | URL |
|---|---|
| Troubleshoot Azure IoT Edge monitoring and metrics | https://learn.microsoft.com/en-us/azure/iot-edge/how-to-troubleshoot-monitoring-and-faq |
| Diagnose and troubleshoot Azure IoT Edge devices | https://learn.microsoft.com/en-us/azure/iot-edge/troubleshoot |
| Resolve common Azure IoT Edge errors and issues | https://learn.microsoft.com/en-us/azure/iot-edge/troubleshoot-common-errors |
| Troubleshoot IoT Edge devices via Azure portal | https://learn.microsoft.com/en-us/azure/iot-edge/troubleshoot-in-portal |
| Troubleshoot Azure IoT Edge for Linux on Windows devices | https://learn.microsoft.com/en-us/azure/iot-edge/troubleshoot-iot-edge-for-linux-on-windows |
| Resolve common Azure IoT Edge for Linux on Windows issues | https://learn.microsoft.com/en-us/azure/iot-edge/troubleshoot-iot-edge-for-linux-on-windows-common-errors |
| Troubleshoot networking issues for EFLOW virtual machines | https://learn.microsoft.com/en-us/azure/iot-edge/troubleshoot-iot-edge-for-linux-on-windows-networking |
| Topic | URL |
|---|---|
| Use curated Azure Monitor workbooks for IoT Edge | https://learn.microsoft.com/en-us/azure/iot-edge/how-to-explore-curated-visualizations |
| Monitor IoT Edge module twins for health | https://learn.microsoft.com/en-us/azure/iot-edge/how-to-monitor-module-twins |
| Implement observability for Azure IoT Edge systems | https://learn.microsoft.com/en-us/azure/iot-edge/how-to-observability |
| Apply production readiness best practices for Azure IoT Edge | https://learn.microsoft.com/en-us/azure/iot-edge/production-checklist |
| Topic | URL |
|---|---|
| Select and configure networking options for EFLOW | https://learn.microsoft.com/en-us/azure/iot-edge/how-to-configure-iot-edge-for-linux-on-windows-networking |
| Choose platform and provisioning options for IoT Edge devices | https://learn.microsoft.com/en-us/azure/iot-edge/how-to-create-iot-edge-device |
| Choose nested virtualization options for EFLOW deployments | https://learn.microsoft.com/en-us/azure/iot-edge/nested-virtualization |
| Topic | URL |
|---|---|
| Choose Azure IoT Edge gateway patterns for devices | https://learn.microsoft.com/en-us/azure/iot-edge/iot-edge-as-gateway |
| Design offline operation patterns for Azure IoT Edge | https://learn.microsoft.com/en-us/azure/iot-edge/offline-capabilities |
| Design and configure nested Azure IoT Edge hierarchies | https://learn.microsoft.com/en-us/azure/iot-edge/tutorial-nested-iot-edge |
| Topic | URL |
|---|---|
| Review Azure IoT Edge limits and restrictions | https://learn.microsoft.com/en-us/azure/iot-edge/iot-edge-limits-and-restrictions |
| Topic | URL |
|---|---|
| Access and consume Azure IoT Edge built-in metrics | https://learn.microsoft.com/en-us/azure/iot-edge/how-to-access-built-in-metrics |
| Add custom metrics from IoT Edge modules | https://learn.microsoft.com/en-us/azure/iot-edge/how-to-add-custom-metrics |
| Use IoT Edge agent direct methods for remote management | https://learn.microsoft.com/en-us/azure/iot-edge/how-to-edgeagent-direct-method |
| Retrieve and upload Azure IoT Edge logs via direct methods | https://learn.microsoft.com/en-us/azure/iot-edge/how-to-retrieve-iot-edge-logs |
| Develop Azure IoT Edge modules that integrate with IoT Hub | https://learn.microsoft.com/en-us/azure/iot-edge/module-development |
| Use EFLOW PowerShell functions to manage IoT Edge | https://learn.microsoft.com/en-us/azure/iot-edge/reference-iot-edge-for-linux-on-windows-functions |
© MicrosoftDocs, CC-BY-4.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/azure-iot-edge of MicrosoftDocs/Agent-Skills.
Open the folder on GitHubat commit ba74e8f
Azure Iot Edge next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Azure Iot Edge this skillMicrosoftDocs/Agent-Skills | 775 | — | ~3.7k | Automated safety check: Pass | CC-BY-4.0 | |
| Azure Bicep Skilltimothywarner-org/claude-code | 224 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Sdaf Orientation And SurfaceAzure/sap-automation | 145 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Azure Devopssickn33/agentic-awesome-skills | 47k | 1 repos | ~2.3k | Automated safety check: Notes | MIT | |
| Azure DevopsBagelHole/DevOps-Security-Agent-Skills | 1.1k | — | ~2.1k | Automated safety check: Notes | MIT | |
| Setup Pipelinemicrosoft/power-platform-skills | 967 | — | ~11k | Automated safety check: Notes | MIT |
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Works with
Categories
Expert knowledge for Azure IoT Edge development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations &…. Azure Iot Edge is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert knowledge for Azure IoT Edge development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment.
Azure Iot Edge fits situations like: configuring EFLOW devices; DPS/X.509 provisioning; gateway/nested topologies; CI/CD deployments.
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-iot-edge -a claude-code`. Or copy the skill folder (skills/azure-iot-edge in MicrosoftDocs/Agent-Skills) into .claude/skills/azure-iot-edge in your project. Claude Code loads it when a task matches its description.
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-iot-edge -a codex`. Or copy the skill folder (skills/azure-iot-edge in MicrosoftDocs/Agent-Skills) into .agents/skills/azure-iot-edge in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-iot-edge -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/azure-iot-edge, .gemini/skills/azure-iot-edge, .github/skills/azure-iot-edge and .opencode/skills/azure-iot-edge in your project.
SKILL.md names no scripts, command-line tools or credentials: Azure Iot Edge is instructions for the agent only. Compatibility (from SKILL.md): Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation..
SKILL.md names 2 domains. As links in the text: learn.microsoft.com and github.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Azure Iot Edge is published under the CC-BY-4.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Azure Iot Edge: Azure Bicep Skill (timothywarner-org/claude-code, 224 stars), Sdaf Orientation And Surface (Azure/sap-automation, 145 stars), Azure Devops (sickn33/agentic-awesome-skills, 47k stars) and Azure Devops (BagelHole/DevOps-Security-Agent-Skills, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
MicrosoftDocs (a GitHub organization, an official publisher) maintains it in MicrosoftDocs/Agent-Skills, which has 775 GitHub stars. The repository holds 149 skills in this directory. The repository was last updated on October 5, 2026.
Source: MicrosoftDocs/Agent-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.