Azure Bicep Skill
timothywarner-org/claude-code
A skill your agent uses when authoring, reviewing, or refactoring Azure Bicep code.
Expert knowledge for Azure Virtual Machine Scale Sets development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security…
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-vm-scalesets -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-vm-scalesets --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-vm-scalesets .claude/skills/azure-vm-scalesets && 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-vm-scalesets" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-vm-scalesets into .claude/skills/azure-vm-scalesets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-vm-scalesets", 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-vm-scalesetsType 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-vm-scalesets -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-vm-scalesets --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-vm-scalesets .agents/skills/azure-vm-scalesets && 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-vm-scalesets" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-vm-scalesets into .agents/skills/azure-vm-scalesets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-vm-scalesets", 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-vm-scalesets -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-vm-scalesets --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-vm-scalesets .cursor/skills/azure-vm-scalesets && 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-vm-scalesets" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-vm-scalesets into .cursor/skills/azure-vm-scalesets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-vm-scalesets", 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-vm-scalesets--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-vm-scalesets -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-vm-scalesets --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-vm-scalesets .gemini/skills/azure-vm-scalesets && 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-vm-scalesets" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-vm-scalesets into .gemini/skills/azure-vm-scalesets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-vm-scalesets", 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-vm-scalesetsInstalls 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-vm-scalesets -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-vm-scalesets .github/skills/azure-vm-scalesets && 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-vm-scalesets" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-vm-scalesets into .github/skills/azure-vm-scalesets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-vm-scalesets", 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-vm-scalesets -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-vm-scalesets --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-vm-scalesets .opencode/skills/azure-vm-scalesets && 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-vm-scalesets" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-vm-scalesets into .opencode/skills/azure-vm-scalesets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-vm-scalesets", 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-vm-scalesetsExpert knowledge for Azure Virtual Machine Scale Sets development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security…
Azure Vm Scalesets is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert knowledge for Azure Virtual Machine Scale Sets development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring autoscale, standby pools, PPG-based layouts, disk encryption with Key Vault, or VMSS APIs/CLI, and other Azure Virtual Machine Scale Sets related development tasks. Not for Azure Virtual Machines (use azure-virtual-machines), Azure Kubernetes…
Its SKILL.md is about 4.2k 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 Development, covering Design patterns and Secrets management. It works with Microsoft Azure and Azure Kubernetes Service. 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 Vm Scalesets loads about 4.2k tokens when it runs. Until then it costs about 167 tokens; SKILL.md has 1,098 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). 1,098 words, ~4,245 tokens.
.claude/skills/azure-vm-scalesets/SKILL.md (or your agent's skills folder).This skill provides expert guidance for Azure Virtual Machine Scale Sets. 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-L43 | Diagnosing and fixing issues with VMSS instance mix, standby pools behavior, and autoscale (rules, scaling delays, capacity mismatches, and common error scenarios). |
| Best Practices | L44-L49 | Configuring rolling upgrades for VM scale sets, tuning MaxSurge settings, and strategies to minimize downtime and maintain high availability during production updates. |
| Decision Making | L50-L67 | Guidance on choosing VM scale set modes, availability, upgrade and autoscale strategies, Spot/Hybrid benefits, and cost/performance tradeoffs for different deployment scenarios. |
| Architecture & Design Patterns | L68-L72 | Designing scale sets with proximity placement groups to minimize latency, improve performance, and ensure VMs are co-located for tightly coupled or high-performance workloads |
| Limits & Quotas | L73-L78 | Scale set capacity, instance, and resource limits; placement group behavior; scaling constraints; and how limits affect deployment, availability, and distribution of VMs. |
| Security | L79-L90 | Encrypting VMSS disks (CLI, PowerShell, ARM), configuring Azure Disk Encryption with Key Vault and extensions, and securing scale sets via Azure Policy and RBAC for standby pools. |
| Configuration | L91-L135 | Configuring VM scale sets: templates, networking, disks, zones, upgrades, autoscale, standby pools, instance mix/protection, health/maintenance, and CLI/PowerShell/API management. |
| Integrations & Coding Patterns | L136-L141 | Configuring VM scale set standby pools with Log Analytics for monitoring and integrating scale sets with Azure DSC extension for automated configuration management. |
| Deployment | L142-L148 | Creating VM scale sets from generalized/specialized Shared Image Gallery images, migrating flexible sets to zonal, and deploying/rolling out applications to scale set instances |
| Topic | URL |
|---|---|
| FAQ and troubleshooting for VM scale set instance mix | https://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/instance-mix-faq-troubleshooting |
| FAQ and troubleshooting for VM scale set standby pools | https://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/standby-pools-faq |
| Troubleshoot autoscale issues in Azure VM scale sets | https://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-troubleshoot |
| Topic | URL |
|---|---|
| Configure rolling upgrades for production scale sets | https://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-configure-rolling-upgrades |
| Use MaxSurge rolling upgrades to improve uptime | https://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-maxsurge |
| Topic | URL |
|---|---|
| Use proximity placement groups with scale sets | https://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/proximity-placement-groups |
| Topic | URL |
|---|---|
| Reference limits and behaviors for VM Scale Sets | https://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-faq |
| Understand placement groups and scale set capacity limits | https://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-placement-groups |
| Topic | URL |
|---|---|
| Integrate VM scale set standby pools with Azure Log Analytics | https://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/standby-pools-monitor-pool-events |
| Integrate VM Scale Sets with Azure DSC extension | https://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-dsc |
| Topic | URL |
|---|---|
| Create scale sets from generalized gallery images | https://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/instance-generalized-image-version |
| Create scale sets from specialized gallery images | https://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/instance-specialized-image-version |
| Migrate regional flexible scale sets to zonal | https://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/migrate-scale-set-flex-to-availability-zones |
| Deploy applications to VM Scale Set instances | https://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-deploy-app |
© 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-vm-scalesets of MicrosoftDocs/Agent-Skills.
Open the folder on GitHubat commit ba74e8f
Azure Vm Scalesets 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 Vm Scalesets this skillMicrosoftDocs/Agent-Skills | 777 | — | ~4.2k | Automated safety check: Pass | CC-BY-4.0 | |
| Azure Bicep Skilltimothywarner-org/claude-code | 224 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Aks Deployment Skilltimothywarner/chatgptclass | 143 | — | ~916 | Automated safety check: Pass | Custom licence | |
| Azure FunctionsDataDog/dd-trace-dotnet | 573 | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| Letta Configurationletta-ai/skills | 147 | — | ~1.3k | Automated safety check: Notes | MIT | |
| Environment Deploymentmicrosoft/physical-ai-toolchain | 123 | — | ~5.8k | Automated safety check: Pass | MIT |
timothywarner-org/claude-code
A skill your agent uses when authoring, reviewing, or refactoring Azure Bicep code.
timothywarner/chatgptclass
Deploy and operate workloads on Azure Kubernetes Service (AKS) the safe way.
DataDog/dd-trace-dotnet
Dev/test workflow for tracer engineers working on the Datadog .NET tracer — build a local Datadog.AzureFunctions NuGet package, deploy it to a test Azure Function App, trigger it, and analyze…
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Works with
Categories
Expert knowledge for Azure Virtual Machine Scale Sets development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security…. Azure Vm Scalesets is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert knowledge for Azure Virtual Machine Scale Sets development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment.
Azure Vm Scalesets fits situations like: configuring autoscale; PPG-based layouts; disk encryption with Key Vault; other Azure Virtual Machine Scale Sets related development tasks.
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-vm-scalesets -a claude-code`. Or copy the skill folder (skills/azure-vm-scalesets in MicrosoftDocs/Agent-Skills) into .claude/skills/azure-vm-scalesets in your project. Claude Code loads it when a task matches its description.
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-vm-scalesets -a codex`. Or copy the skill folder (skills/azure-vm-scalesets in MicrosoftDocs/Agent-Skills) into .agents/skills/azure-vm-scalesets 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-vm-scalesets -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-vm-scalesets, .gemini/skills/azure-vm-scalesets, .github/skills/azure-vm-scalesets and .opencode/skills/azure-vm-scalesets in your project.
SKILL.md names no scripts, command-line tools or credentials: Azure Vm Scalesets 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 Vm Scalesets 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 4.2k tokens (SKILL.md is roughly 17k 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 Vm Scalesets: Azure Bicep Skill (timothywarner-org/claude-code, 224 stars), Aks Deployment Skill (timothywarner/chatgptclass, 143 stars), Azure Functions (DataDog/dd-trace-dotnet, 573 stars) and Letta Configuration (letta-ai/skills, 147 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 777 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.