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 environment, enable AKS observability, design AKS networking, choose AKS SKU, secure AKS.
Automate repetitive workflows and reduce manual effort
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Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add microsoft/GitHub-Copilot-for-Azure --skill azure-kubernetesCompatible with
Supported agents
| name | azure-kubernetes |
| license | MIT |
| metadata | author: Microsoft version: "1.0.2" |
| 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 environment, enable AKS observability, design AKS networking, choose AKS SKU, secure AKS." |
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 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-diagnostics (troubleshooting AKS), azure-validate (readiness checks) |
Activate this skill when user wants to:
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.If the user is unsure, use safe defaults.
Pod IP Model (Key Day-0 decision):
Dataplane & Network Policy:
Egress:
Ingress:
DNS:
--node-osdisk-type Ephemeral) for faster node startupCriticalAddonsOnly)--zones 1 2 3)az aks stop/start| Tool | Purpose | Key Parameters |
|---|---|---|
mcp_azure_mcp_aks | AKS MCP entry point used to discover the exact AKS-specific tools exposed by the client | Discover the callable AKS tool first, then use that tool's parameters |
| Error / Symptom | Likely Cause | Remediation |
|---|---|---|
| MCP tool call fails or times out | Invalid credentials, subscription, or AKS context | Verify az login, confirm the active subscription context with az account show, and check the target resource group without echoing subscription identifiers back to the user |
| Quota exceeded | Regional vCPU or resource limits | Request quota increase or select different region/VM SKU |
| Networking conflict (IP exhaustion) | Pod subnet too small for overlay/CNI | Re-plan IP ranges; may require cluster recreation (Day-0) |
| Workload Identity not working | Missing OIDC issuer or federated credential | Enable --enable-oidc-issuer --enable-workload-identity, configure federated identity |
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionazure-kubernetesExecute the skills CLI command in your project's root directory to begin installation:
epx add microsoft/GitHub-Copilot-for-Azure --skill azure-kubernetesFetches azure-kubernetes from microsoft/GitHub-Copilot-for-Azure and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/azure-kubernetes
Restart Cursor to activate azure-kubernetes. Access via /azure-kubernetesin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
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✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Keeps context tight: azure-kubernetes is the kind of skill you can hand to a new teammate without a long onboarding doc.
azure-kubernetes is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
azure-kubernetes reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added azure-kubernetes from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for azure-kubernetes matched our evaluation — installs cleanly and behaves as described in the markdown.
azure-kubernetes fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added azure-kubernetes from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
azure-kubernetes reduced setup friction for our internal harness; good balance of opinion and flexibility.
azure-kubernetes reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added azure-kubernetes from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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