airunway-aks-setup
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first…
Plan, create, and configure production-ready Azure Kubernetes Service (AKS) clusters. Covers Day-0 checklist, SKU selection (Automatic vs Standard), networking options (private API server, Azure CNI Overlay, egress configuration), security, and operations (autoscaling, upgrade
$ npx -y skills add microsoft/azure-skills --skill azure-kubernetes --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/azure-kubernetesContext preview
The summary Claude sees to decide when to auto-load this skill.
Plan, create, and configure production-ready Azure Kubernetes Service (AKS) clusters. Covers Day-0 checklist, SKU selection (Automatic vs Standard), networking options (private API server, Azure CNI Overlay, egress configuration), security, and operations (autoscaling, upgrade
name: azure-kubernetes license: MIT metadata: author: Microsoft version: "1.2.2" description: "Plan, create, and configure production-ready Azure Kubernetes Service (AKS) clusters. Covers Day-0 checklist, SKU selection (Automatic vs Standard), networking options (private API server, Azure CNI Overlay, egress configuration), security, and operations (autoscaling, upgrade strategy, cost analysis). WHEN: create AKS environment, provision AKS, enable AKS observability, design AKS networking, choose AKS SKU, secure AKS, optimize AKS, AKS spot nodes, AKS cluster-autoscaler, rightsize AKS pod, pod rightsizing, over-provisioned AKS pod, pod resource requests and limits, Vertical Pod Autoscaler, VPA recommendations."
> **AUTHORITATIVE GUIDANCE — MANDATORY COMPLIANCE** > > This skill produces a **recommended AKS cluster configuration** based on user requirements, distinguishing **Day-0 decisions** (networking, API server — hard to change later) from **Day-1 features** (can enable post-creation). See [CLI reference](./references/cli-reference.md) for commands.
| Property | Value | |----------|-------| | Best for | AKS cluster planning and Day-0 decisions | | MCP Tools | `mcp_azure_mcp_aks` | | CLI | `az aks create`, `az aks show`, `kubectl get`, `kubectl describe` | | Related skills | azure-kubernetes-app-deploy (deploy an app to an existing cluster), azure-diagnostics (troubleshooting AKS), azure-validate (readiness checks), azure-kubernetes-automatic-readiness (migrate existing cluster to AKS Automatic) |
Activate this skill when user wants to:
> **Deploying an application to an existing cluster?** This skill provisions and > configures the *cluster*. To containerize an app and deploy it to a cluster > that already exists (Dockerfile + manifests + Deployment Safeguards), use the > `azure-kubernetes-app-deploy` sub-skill instead.
1. Start with the user's requirements for provisioning compute, networking, security, and other settings. 2. Use the `azure` MCP server and select `mcp_azure_mcp_aks` first to discover the exact AKS-specific MCP tools surfaced by the client. Choose the smallest discovered AKS tool that fits the task, and fall back to Azure CLI (`az aks`) only when the needed functionality is not exposed through the AKS MCP surface. 3. Determine if AKS Automatic or Standard SKU is more appropriate based on the user's need for control vs convenience. Default to AKS Automatic unless specific customizations are required. 4. Document decisions and rationale for cluster configuration choices, especially for Day-0 decisions that are hard to change later (networking, API server access).
If the user is unsure, use safe defaults.
**Pod IP Model** (Key Day-0 decision):
**Dataplane & Network Policy**:
**Egress**:
**Ingress**:
**DNS**:
Azure work is not just a code problem. It is a decision problem: which service fits this app, what needs to be validated before deployment, which tools should run, and what guardrails matter.
Repo: microsoft/azure-skills
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