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…
Use when deploying an existing web application or API to an already-running Azure Kubernetes Service cluster. Detects the framework, generates a Dockerfile and Kubernetes manifests, validates against AKS Deployment Safeguards, and deploys with verification. WHEN: deploy app to
$ npx -y skills add microsoft/azure-skills --skill azure-kubernetes-app-deploy --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/azure-kubernetes-app-deployContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when deploying an existing web application or API to an already-running Azure Kubernetes Service cluster. Detects the framework, generates a Dockerfile and Kubernetes manifests, validates against AKS Deployment Safeguards, and deploys with verification. WHEN: deploy app to
name: azure-kubernetes-app-deploy license: MIT metadata: author: Microsoft version: "1.0.0" description: "Use when deploying an existing web application or API to an already-running Azure Kubernetes Service cluster. Detects the framework, generates a Dockerfile and Kubernetes manifests, validates against AKS Deployment Safeguards, and deploys with verification. WHEN: deploy app to AKS, deploy to existing AKS cluster, containerize app for Kubernetes, generate K8s manifests for Azure, set up CI/CD for AKS, my AKS deployment is failing safeguard checks, I have a Django/Express/Spring Boot app to run on AKS. DO NOT USE FOR: creating or provisioning an AKS cluster (use azure-kubernetes), assessing migration to AKS Automatic (use azure-kubernetes-automatic-readiness), or deploying to non-AKS targets like Web Apps, Container Apps, or Functions."
**Use when:** deploying a web app/API to AKS; containerizing for Kubernetes; generating manifests; AKS CI/CD; DS001–DS013 failures.
**Not for:** provisioning clusters (`azure-kubernetes`), AKS Automatic readiness (`azure-kubernetes-automatic-readiness`), non-AKS targets.
Requires: existing AKS cluster, `az login`, `kubectl` configured. Follow `phases/quick-deploy.md`. On failure: `references/rollback.md`.
Load `knowledge-packs/frameworks/<framework>.md` per detected framework. Available: `spring-boot`, `express`, `nextjs`, `fastapi`, `django`, `nestjs`, `aspnet-core`, `go`, `flask`
`templates/` (dockerfiles/, k8s/, github-actions/, mermaid/).
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
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first…
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to…
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR.…
Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI…
Assess whether source code is ready to deploy to Azure — the check BEFORE infrastructure work. Evaluates build health, app completeness, dependencies and local…
End-to-end orchestrator: from a business idea, app idea, or existing app to running Azure deployment with cost estimates and pre-deploy approval. Analyzes your…