Skills

Aks Gpu Inference

Diagnose Day-2 AKS GPU and KAITO incidents using profile-aware, read-only evidence.

Install

npx skills add microsoft/skills --skill aks-gpu-inference -g -a claude-code -y
Repository
microsoft/skills3.2k
Category
DevOps
Updated
3d ago
License
MIT
Context cost
Lightabout 627 tokens
Runs scripts
No, instructions only

What it does

Diagnose Day-2 AKS GPU and KAITO incidents using profile-aware, read-only evidence. WHEN: 'Insufficient nvidia.com/gpu', GPU pod Pending, model-load OOM, DCGM/VRAM, KAITO Workspace not ready, or GPU autoscaling. DO NOT USE FOR: setup (airunway-aks-setup), non-GPU incidents (aks-troubleshooting), standalone VM quota (azure-quotas), or generic cost (cost-analysis or cost-optimization from the optional azure-cost plugin).

AKS GPU Inference Day-2

Quick Reference

PropertyValue
Best forAKS GPU/KAITO failures
EvidenceBound target, events/status, gpuProfile, DCGM

When to Use This Skill

Use for scheduling, VRAM/OOM, KAITO readiness, and workload scaling. Route exclusions as described above.

MCP Tools

Use a fitting host-advertised Azure read or the references' read-only queries.

Host Capability Gate

Before executing any referenced pipeline, verify that the host authorizes the required shell and kubectl/az commands against the bound target. File-backed collection also requires approved artifact storage and access to any bundled files it uses. A governed Azure CLI tool alone does not establish these capabilities. Equivalent host reads may replace commands only where their advertised schemas provide the required evidence.

If execution is unavailable or prohibited, say so and analyze supplied or redacted events, status, logs, and metrics, or give the operator a scoped collection plan. State which reads did not run and leave conclusions requiring missing evidence unconfirmed. Never route kubectl through Azure MCP or bypass host policy. The authorization requirements below still apply.

Workflow

Read the whole SKILL.md on GitHub

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