All skills
microsoft avatar

/azure-compute

@9c4c115 official

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-creatorreferencesdelivery-optionsindex.md

≈582 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Delivery Options

After the Plan Card is approved (Step 5) and the output format is chosen (Step 6), the workflow has a generated artifact. Before printing it into the chat, ask one more question — where should it go?

Mode When the user wants this File
A. Print in chat Quick one-off, copy-paste, just learning print.md
B. Save to local folder Wants files on disk, will commit/run later save-local.md
C. Sync to a GitHub repo Has an infra repo, wants the change as a PR github-pr.md

Skip the question for Adapter 4 (Apply via MCP). Delivery is moot — the resources get created in Azure directly.

Asking

"Where should I drop this {format} artifact?" 1. Print in the chat (default for quick / one-off) 2. Save to a local folder — I'll suggest a path based on your current workspace 3. Sync to a GitHub repo as a new branch + PR

If the user already implied a target ("save it to my infra repo" / "open a PR" / "just print it"), skip the question and use that mode.

Re-emitting / changing delivery mid-flow

After delivery, the Plan Card is cached. The user can say:

User says Action
"also save it locally" Re-run Mode B with the same artifact
"open a PR instead" Re-run Mode C
"give me terraform now too" Re-render that adapter, then re-ask delivery
"delete that file you wrote" rm the path that was written

Never re-ask Plan Card questions when only the delivery target is changing.

Safety checks (B and C)

Check Why
Don't overwrite without showing the diff and getting explicit yes User may have manual edits
Scrub adminPassword from generated files → replace with ${VM_ADMIN_PASSWORD} env var Repos leak passwords
Never push directly to main / master / default branch — feature branch + PR only Auditability and review
Never git push --force (use --force-with-lease if a rewrite is truly needed) Catastrophic on shared branches
Emit a parameter placeholder for SSH keys, not the literal key contents Keys committed to git stay there forever
If the repo has CODEOWNERS for the path, mention who'll be auto-tagged User shouldn't be surprised by review routing

Source: SKILL.md on GitHub

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

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.