azure-compute

Recommend Azure VM sizes, scale sets, and configurations based on workload requirements and budget. Routes Azure VM requests to the appropriate workflow based on user intent. Activate this skill when the user: Routing rule: Always read the matched workflow file before accessing any reference files. The workflow file contains the step-by-step guidance and the reference routing table for the user's request. - Analyzes workload type, performance needs, scaling requirements, and cost to suggest 2–3 VM or VMSS options with trade-offs - Verifies recommendations against live Microsoft documentation; falls back to reference files if fetch fails - Queries the unauthenticated Azure Retail Prices API for current pricing without requiring an Azure subscription - Guides VM vs VMSS decision through a decision tree covering autoscaling, instance count, availability, and statefulness - Covers all VM families (general purpose, compute/memory optimized, GPU, confidential computing) and VMSS orchestration modes (Flexible vs Uniform) - Asks about Azure Virtual Machines (VMs) or VM Scale Sets (VMSS) - Asks about choosing a VM, VM sizing, pricing, or cost estimates - Needs a workload-based recommendation for scenarios like database, GPU, deep learning, HPC, web tier, or dev/test - Mentions VM families, autoscale, load balancing, or Flexible versus Uniform orchestration - Wants to troubleshoot Azure...