Agent skill · software engineering · aiskillstore
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 deployment. WHEN: \"setup AI Runway\", \"onboard AKS cluster\", \"install AI Runway\", \"airunway setup\", \"deploy model to AKS\", \"GPU inference on AKS\", \"KAITO setup on AKS\", \"run LLM on AKS\", \"vLLM on AKS\", \"set up model serving on AKS\", \"AI Runway controller\".
Why this skill is useful
Adds detailed step-by-step procedures for deploying AI Runway on AKS, including GPU assessment and provider setup, which are not commonly found in public documentation.
What it needs
Requires curl, kubectl, make installed locally. About 2k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
AI Runway AKS Setup This skill walks users from a bare Kubernetes cluster to a running AI model deployment. Follow each step in sequence unless the user provides skip-to-step N to resume from a specific phase. Cost awareness: GPU node pools incur significant compute charges (A100-80GB can cost $3–5+/hr). Confirm the user understands cost implications before provisioning GPU resources. Prerequisites This skill assumes an AKS cluster already exists. If the user does not have a cluster, hand off to the azure-kubernetes skill first to provision one (with a GPU node pool unless CPU-only inference is acceptable), then return here. Quick Reference Property Value ---------- ------- Best for End-to-end AI Runway onboarding on AKS CLI tools kubectl, make, curl MCP tools None Related skills azure-kubernetes (cluster setup), azure-diagnostics (troubleshooting) When to Use This Skill Use this skill when the user wants to: Set up AI Runway on an existing AKS cluster from scratch Install the AI Runway controller and CRDs Assess GPU hardware compatibility for model deployment Choose and install an inference provider (KAITO, Dynamo, KubeRay) Deploy their first AI model to AKS via AI Runway Resume a partially-complete AI Runway setup from a specific step MCP Tools This skill uses no MCP tools. All cluster operations are performed directly via kubectl and make. Rules 1. Execute steps in sequence — load the reference for each step as you reach it 2. Report cluster state at each step: ✓ healthy, ✗ missing/failed 3. Ask for user confirmation before any install or deployment action 4. If a step is already complete, report status and skip to the next step 5. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/airunway-aks-setup