airunway-aks-setup
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment,…
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
Claude Code
$ npx -y skills add microsoft/azure-skills --skill azure-kubernetes --agent claude-code
Codex
$ npx skills add microsoft/azure-skills --skill azure-kubernetes -a codex -y
Cursor
$ npx skills add microsoft/azure-skills --skill azure-kubernetes -a cursor -y
Gemini CLI
$ npx skills add microsoft/azure-skills --skill azure-kubernetes -a gemini-cli -y
GitHub Copilot
$ npx skills add microsoft/azure-skills --skill azure-kubernetes -a github-copilot -y
OpenCode
$ npx skills add microsoft/azure-skills --skill azure-kubernetes -a opencode -y
Windsurf
$ npx skills add microsoft/azure-skills --skill azure-kubernetes -a windsurf -y
name: azure-kubernetes license: MIT metadata: author: Microsoft version: "1.2.5" 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 (baseline AKS troubleshooting), azure-validate (readiness checks), azure-kubernetes-automatic-readiness (migrate existing cluster to AKS Automatic), optional `aks-skills` operations add-on (focused incident, advanced cost-efficiency, exact-signature, packet-capture, and GPU Day-2 workflows) |
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.
> **Deeper operational task?** Keep Day-0 planning and basic operations in this > base skill. Load [optional-aks-operations.md](./references/optional-aks-operations.md) > only when a focused optional AKS operational skill could improve the current > task.
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.
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment,…
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration…
Build and troubleshoot Azure AI Search, Speech, OpenAI, and Document Intelligence apps. WHEN: AI Search, query search, vector…
Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit,…
Assess whether source code is ready to deploy to Azure — the check BEFORE infrastructure work. Evaluates build health, app…
End-to-end orchestrator: from a business idea, app idea, or existing app to running Azure deployment with cost estimates and…
Use this skill whenever the user mentions Horizon by name in a Laravel context. Covers the full Horizon lifecycle: installing…
Use when launching cloud VMs, Kubernetes pods, or Slurm jobs for GPU/TPU/CPU workloads, training or fine-tuning models on cloud…
Use this skill when the user mentions "pinme", or needs to upload files, store to IPFS, create/publish/deploy websites or…