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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/github-copilot-for-azure/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 Hub16d

    This skill provides comprehensive workflows for managing Azure compute resources, including VM creation, recommendations, and capacity management. It incorporates solid security practices like secret scrubbing and restricted network rules, with minor considerations related to external data ingestion.

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    Risk: MEDIUM · 1 issue

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    Score: 93/100 · 2 sections analyzed

Signed by skilld at 9c4c115. 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": "0.0.0-placeholder"
}
  • Infrastructure
  • azure
  • vm
  • virtual-machines
  • vmss
  • provisioning
  • troubleshooting
  • capacity-reservation
  • pricing

README badge

README badge for microsoft/github-copilot-for-azure/azure-compute

Routes Azure VM and Virtual Machine Scale Set requests to five specialized workflows: VM recommendation and pricing, VM creation and provisioning, troubleshooting connectivity issues, capacity reservation, and machine enrollment. Use this skill when a user needs to size/compare VMs, deploy bare infrastructure, fix RDP/SSH access, or manage capacity reservations on Azure.

Generated from the current SKILL.md.

Does this skill handle application deployments like Docker or web apps?
No. This skill routes bare VM and VMSS infrastructure requests only. For deploying applications (Docker services, web apps, APIs, serverless workloads), use the azure-prepare skill instead.
What VM connectivity issues does this skill cover?
It covers RDP/SSH connection failures, port refused errors, black screen issues, and password resets. Use the VM Troubleshooter workflow when a user can't connect to an existing VM.
Can this skill help me choose the right VM size and pricing?
Yes. The VM Recommender workflow recommends VM sizes, compares options, and estimates costs based on workload requirements (web, backend, GPU, HPC, dev/test, etc.).
Does this skill support Capacity Reservation Groups?
Yes. It includes a dedicated workflow for creating, associating, and disassociating Capacity Reservation Groups to guarantee and pre-provision VM capacity.

Generated from the current SKILL.md. These answers refresh after source changes.