Official agent skill

Azure Vm Scalesets

by MicrosoftDocs in MicrosoftDocs/Agent-Skills

Expert knowledge for Azure Virtual Machine Scale Sets development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security…

OfficialCC-BY-4.0Auto-check passedDevelopment

Install Azure Vm Scalesets

skills CLI
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-vm-scalesets -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install MicrosoftDocs/Agent-Skills azure-vm-scalesets --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
azure-vm-scalesets
GitHub stars
777
Token cost
~4.2k tokens
SKILL.md length
1,098 words
Files
1
Skills in repo
149
Repo updated
First seen
Licence
CC-BY-4.0

At a glance

Expert knowledge for Azure Virtual Machine Scale Sets development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security…

  • Configuring autoscale
  • SKILL.md covers How to Use This Skill and Category Index
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • PPG-based layouts

What it does

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.

When your agent uses it

  • Configuring autoscale
  • PPG-based layouts
  • Disk encryption with Key Vault
  • Other Azure Virtual Machine Scale Sets related development tasks

Example prompts

  • “/azure-vm-scalesets”

Requirements

  • Compatibility (from SKILL.md): Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.

What it can do on your machine

Read from SKILL.md and the folder at commit ba74e8f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    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.

  • Network

    Links to these hosts (documentation or services it may open):

    • learn.microsoft.com
    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.

    From compatibility in the SKILL.md frontmatter.

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~167
When it runs · the whole SKILL.md, loaded when a task matches
~4.2k

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.

Safety

Auto-check passed

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.

SKILL.md

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.

Download SKILL.mdSave it as .claude/skills/azure-vm-scalesets/SKILL.md (or your agent's skills folder).
name
azure-vm-scalesets
description
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 Service (AKS) (use azure-kubernetes-service), Azure App Service (use azure-app-service), Azure Service Fabric (use azure-service-fabric).
compatibility
Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
metadata.generated_at
2026-09-13
metadata.generator
docs2skills/1.0.0

Azure Virtual Machine Scale Sets Skill

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.

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

CategoryLinesDescription
TroubleshootingL37-L43Diagnosing and fixing issues with VMSS instance mix, standby pools behavior, and autoscale (rules, scaling delays, capacity mismatches, and common error scenarios).
Best PracticesL44-L49Configuring rolling upgrades for VM scale sets, tuning MaxSurge settings, and strategies to minimize downtime and maintain high availability during production updates.
Decision MakingL50-L67Guidance on choosing VM scale set modes, availability, upgrade and autoscale strategies, Spot/Hybrid benefits, and cost/performance tradeoffs for different deployment scenarios.
Architecture & Design PatternsL68-L72Designing 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 & QuotasL73-L78Scale set capacity, instance, and resource limits; placement group behavior; scaling constraints; and how limits affect deployment, availability, and distribution of VMs.
SecurityL79-L90Encrypting 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.
ConfigurationL91-L135Configuring VM scale sets: templates, networking, disks, zones, upgrades, autoscale, standby pools, instance mix/protection, health/maintenance, and CLI/PowerShell/API management.
Integrations & Coding PatternsL136-L141Configuring VM scale set standby pools with Log Analytics for monitoring and integrating scale sets with Azure DSC extension for automated configuration management.
DeploymentL142-L148Creating VM scale sets from generalized/specialized Shared Image Gallery images, migrating flexible sets to zonal, and deploying/rolling out applications to scale set instances
Troubleshooting
Best Practices
Decision Making
TopicURL
Apply Azure Hybrid Benefit to Linux scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/azure-hybrid-benefit-linux
Migrate workloads to Flexible orchestration scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/flexible-virtual-machine-scale-sets-migration-resources
Decide when to use instance mix in VM scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/instance-mix-overview
Compare Uniform and Flexible VMSS APIshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/orchestration-modes-api-comparison
Use Spot Placement Score to plan deploymentshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/spot-placement-score
Balance Spot and standard VMs with Priority Mixhttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/spot-priority-mix
Use standby pools to reduce VM scale set latencyhttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/standby-pools-overview
Use Spot VMs in scale sets for cost savingshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/use-spot
Select autoscale options for Azure VM scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-autoscale-overview
Design and choose features for VM Scale Setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-design-overview
Choose and configure fault domains for scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-manage-fault-domains
Choose orchestration mode for Azure VM scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-orchestration-modes
Choose upgrade policy modes for VM Scale Setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-upgrade-policy
Choose availability zone options for VM Scale Setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-use-availability-zones
Architecture & Design Patterns
Limits & Quotas
Security
Show full SKILL.md (428 more words)Show less
Configuration
TopicURL
Alert on Automatic Instance Repairs ServiceState changeshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/alert-rules-automatic-repairs-service-state
Enable Automatic Zone Balance on scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/auto-zone-balance-enable
Use Automatic Zone Balance for VM Scale Setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/auto-zone-balance-overview
Define VM scale set configuration with ARM templateshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/flexible-virtual-machine-scale-sets-rest-api
Configure instance mix for Azure VM scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/instance-mix-create
Update instance mix settings on Azure VM scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/instance-mix-update
Inspect instance mix configuration on VM scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/instance-mix-view
Enable resilient create and delete for scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/resilient-vm-create-delete
Create and configure standby pools for VM scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/standby-pools-create
Retrieve standby pool and instance details for VM scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/standby-pools-get-details
Understand and query standby pool health state in VM scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/standby-pools-health-state
Get prediction results to size VM scale set standby poolshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/standby-pools-prediction-results
Configure Spot instances in VM scale set standby poolshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/standby-pools-spot-instances
Update or delete standby pools for Azure VM scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/standby-pools-update-delete
Configure attached data disks for VM Scale Setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-attached-disks
Configure automatic instance repairs for scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-automatic-instance-repairs
Configure automatic OS image upgrades for VMSShttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-automatic-upgrade
Configure automatic zone placement for VM Scale Setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-automatic-zone-placement
Change upgrade policy mode on existing scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-change-upgrade-policy
Configure customer-selected zones for VM Scale Setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-configure-customer-selected-zones
Sequence VM extensions in Azure scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-extension-sequencing
Configure Application Health extension for scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-health-extension
Understand and use instance IDs in scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-instance-ids
Configure instance protection on VM Scale Setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-instance-protection
Handle maintenance notifications for VM Scale Setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-maintenance-notifications
Manage VM Scale Sets using Azure CLI commandshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-manage-cli
Manage VM Scale Sets with Azure PowerShellhttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-manage-powershell
Reference custom images in scale set templateshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-mvss-custom-image
Use existing virtual networks in VMSS templateshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-mvss-existing-vnet
Configure guest-metric autoscale for Linux VM scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-mvss-guest-based-autoscale-linux
Author basic ARM templates for VM Scale Setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-mvss-start
Configure networking for Azure VM Scale Setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-networking
Perform manual instance upgrades in VM Scale Setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-perform-manual-upgrades
Reimage virtual machines in a scale sethttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-reimage-virtual-machine
Configure custom metrics for rolling upgradeshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-rolling-upgrade-custom-metrics
Configure scale-in policies for Azure VM scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-scale-in-policy
Define scaling profiles for Azure VM scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-scaling-profile
Set upgrade policy mode on VM Scale Setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-set-upgrade-policy
Enable terminate notifications for scale set instanceshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-terminate-notification
Modify VM Scale Set model and configuration via APIshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-upgrade-scale-set
Configure and manage zone balancing in scale setshttps://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-zone-balancing
Integrations & Coding Patterns
Deployment

© 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

Files

Just SKILL.md in skills/azure-vm-scalesets of MicrosoftDocs/Agent-Skills.

Open the folder on GitHubat commit ba74e8f

Compare with similar skills

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.

Azure Vm Scalesets compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Azure Vm Scalesets this skillMicrosoftDocs/Agent-Skills777—~4.2kAutomated safety check: PassCC-BY-4.0
Azure Bicep Skilltimothywarner-org/claude-code224—~2.9kAutomated safety check: PassMIT
Aks Deployment Skilltimothywarner/chatgptclass143—~916Automated safety check: PassCustom licence
Azure FunctionsDataDog/dd-trace-dotnet573—~4.7kAutomated safety check: PassApache-2.0
Letta Configurationletta-ai/skills147—~1.3kAutomated safety check: NotesMIT
Environment Deploymentmicrosoft/physical-ai-toolchain123—~5.8kAutomated safety check: PassMIT

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Questions about Azure Vm Scalesets

What does Azure Vm Scalesets do?

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.

When should I use Azure Vm Scalesets?

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.

How do I install Azure Vm Scalesets in Claude Code?

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.

How do I install Azure Vm Scalesets in Codex?

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.

Can I use Azure Vm Scalesets in Cursor, Gemini CLI or GitHub Copilot?

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.

What does Azure Vm Scalesets need to run?

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..

Does Azure Vm Scalesets access the network?

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.

Is Azure Vm Scalesets safe to install?

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.

What licence does Azure Vm Scalesets use?

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.

How many tokens does Azure Vm Scalesets use?

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.

What are the alternatives to Azure Vm Scalesets?

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.

Who maintains Azure Vm Scalesets?

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.