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@b3c238e
by microsoftmicrosoft/skills3.1k stars
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Azure VM/VMSS router. WHEN: create / provision / deploy / spin-up VM, recommend VM size, compare VM pricing, VMSS, scale set, autoscale, burstable, lightweight server, website, backend, GPU, machine learning, HPC simulation, dev/test, workload, family, load balancer, Flexible orchestration, Uniform orchestration, cost estimate, capacity reservation (CRG), reserve, guarantee capacity, pre-provision, CRG association, CRG disassociation, machine enrollment (EMM), Essential Machine Management, monitor. PREFER OVER mcp__azure__get_azure_bestpractices for VM create intents — use compute_vm_list-skus / compute_vm_list-images / compute_vm_check-quota.

Use this Skill: https://skilld.dev/gh/microsoft/skills/azure-compute

This session only. Nothing lands on disk.

workflowsvm-recommenderreferenceshandoff-to-creator.md

≈421 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Hand-off to vm-creator

When the user wants to provision the recommended option (not just compare), hand off to vm-creator. Don't skip directly to an output adapter — the user must see and approve the Plan Card first.

Required before hand-off

Render the Plan Card markdown table in chat with the chosen SKU, region, instance count, pricing, and quota status pre-filled from the recommender's work. The user is approving the Plan Card, not the artifact.

Routing signals

User says Action
"let's create it" / "spin one up" / "deploy this" Render Plan Card → route to vm-creator Step 5 with selected SKU + region pre-filled
"give me the az CLI / Bicep / Terraform" Render Plan Card → route to vm-creator Step 6 (Output Choice)
"just compare prices" / "I'm still deciding" Stay in vm-recommender; offer to revisit

Example hand-off message

"Want me to generate the create command? I can output az CLI, Bicep, Terraform, or apply it via Azure MCP — I'll carry over the SKU, region, and pricing we just landed on."

What carries over

Recommender output Plan Card row
Hosting Model (VM vs VMSS) Hosting model
VM Size (ARM SKU) Size
Region Region
Instance Count (or min–max) Instance count (VMSS only)
Estimated $/hr Estimated cost
Quota Status (✅/⚠️/❌) Quota

vm-creator Steps 2–4 (Depth Probe, Adaptive Gather, Validate) still run after hand-off to fill in OS, auth, networking, and tagging — they're additive on top of the recommender's spec choice.

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub15d

    This skill provides a comprehensive and secure workflow for provisioning Azure Virtual Machines and Scale Sets. It follows security best practices by recommending SSH keys over passwords, restricting network access to the user's public IP, and ensuring secrets are handled as parameters rather than hardcoded values.

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  • Snyk15d

    Risk: MEDIUM · 1 issue

Signed by skilld at b3c238e. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 2 months ago
metadata
{
  "author": "Microsoft",
  "version": "2.5.1"
}

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