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/azure-compute

@9c4c115 official
by microsoftmicrosoft/github-copilot-for-azure253 stars
206

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.

Ask your Agent

Use this Skill: https://skilld.dev/gh/microsoft/github-copilot-for-azure/azure-compute

This session only. Nothing lands on disk.

workflowsvm-creatorreferencesdepth-probebeginner.md

≈304 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Beginner / fast-path

Goal: get to a working Plan Card in ≤ 2 questions, then show defaults and let the user edit.

# Question Default if skipped
1 "What region? I can recommend if you're not sure." eastus
2 "Linux or Windows? Default is Ubuntu 24.04." Ubuntu2404 (Linux)

Silent defaults (show in Plan Card, don't ask)

  • Size: Standard_D2s_v5 (2 vCPU / 8 GB)
  • Auth: SSH key from ~/.ssh/id_rsa.pub (Linux) — read the file; ask only if missing
  • VNet: create new <vm-name>-vnet with 10.0.0.0/16
  • Subnet: default with 10.0.0.0/24
  • NSG: create new, allow SSH 22 (Linux) or RDP 3389 (Windows) from the user's current public IP (detect via curl -s ifconfig.me or equivalent) — only fall back to * if detection fails, and always flag the chosen source in the Plan Card with a ⚠ so the user can edit before apply
  • Public IP: Standard SKU, dynamic
  • OS disk: 30 GB Premium SSD
  • Zone: none (regional)

If the user is in a region you haven't validated, call compute_vm_list-skus to confirm Standard_D2s_v5 is available there before locking it in. If not, fall back to whatever the recommender suggests.

Source: SKILL.md on GitHub

Third-party checks

1 warning16d5 checks · Risk SAFE
  • 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.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: MEDIUM · 1 issue

  • Runlayer6mo

    1/4 files flagged

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Provenance

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

Capability

metadata
{
  "author": "Microsoft",
  "version": "0.0.0-placeholder"
}

Topics

  • Infrastructure
  • azure
  • vm
  • virtual-machines
  • vmss
  • provisioning
  • troubleshooting
  • capacity-reservation
  • pricing

README badge

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

What it does

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.

Frequently asked

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.