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/skills/azure-compute
This session only. Nothing lands on disk.
≈119 tokens on demand. Your agent reads this file only when SKILL.md points to it.
Default. Render fenced code blocks for each file, in this order:
main.bicep + the az deployment group create command at the bottommain.tf + variables.tf (separate fenced blocks) + the terraform init && terraform apply commandAppend a one-liner reminder: "Want me to save this to disk or open a PR? Just ask." — so the user can shift to Mode B/C without restarting.
Source: SKILL.md on GitHub
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.
No alerts
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.
{
"author": "Microsoft",
"version": "2.5.1"
}