🎯

azure-kubernetes

🎯Skill

A Microsoft skill that helps you plan, create and set up production-ready clusters on Azure Kubernetes Service (AKS), Azure's service for running apps on groups of servers. It guides your choices on networking, security, upgrades and cost.

microsoft/azure-skills565,640 InstallsAdded Mar 25, 2026

Installation

$npx skills add microsoft/azure-skills --skill azure-kubernetes

Run it in a terminal; it asks which AI coding tools to install it for (Claude Code, Codex, Cursor and more).

Uses skills.sh Β· Node.js 22.20+

After installing

Ask for related work and the agent uses it on its own, or call it yourself.

Run it (Claude Code)/azure-kubernetes
Install by hand

Copy the whole skill folder from GitHub to the place below. Copying only SKILL.md can leave out files the skill uses.

Open the skill folder β†’
  • This project .claude/skills/azure-kubernetes/
  • All projects ~/.claude/skills/azure-kubernetes/

These paths are for Claude Code. For other tools, the command above puts it in the right place.

What this skill does

Overview

The skill asks about your needs, such as region, expected scale, networking, security and budget, and uses safe defaults when you are unsure. It then recommends a cluster setup and separates Day-0 decisions, which are hard to change after the cluster is created, from features you can turn on later. It uses Azure's MCP tools (connectors that let Claude work with Azure) first, and uses Azure CLI commands like az aks create only when needed.

Key Features

  • Choose between AKS Automatic and AKS Standard, with Automatic as the default unless you need special custom settings.
  • Plan networking, such as how pods (the units that run your app) get IP addresses and how traffic goes in and out.
  • Set up security with Microsoft Entra ID sign-in, Azure Key Vault for secrets, and Azure Policy.
  • Get advice on monitoring, upgrade timing, the size of node pools (groups of servers in the cluster) and spreading the cluster across 3 availability zones (separate data center locations).
  • Lower costs with Spot node pools for jobs that can be interrupted, stopping dev/test clusters, and checking pod sizes.

Who is this for?

Platform engineers and DevOps teams who need a new AKS cluster for production can use it to get Microsoft-recommended settings. It also helps when you want to review an existing cluster to cut cost.

Summarized by AI from this skill's SKILL.md. Suggest a better one

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.

Azure Kubernetes Service

AUTHORITATIVE GUIDANCE β€” MANDATORY COMPLIANCE

This skill produces a recommended AKS cluster configuration based on user requirements, distinguishing Day-0 decisions (networking, API server β€” hard to change later) from Day-1 features (can enable post-creation). See CLI reference for commands.

Quick Reference

PropertyValue
Best forAKS cluster planning and Day-0 decisions
MCP Toolsmcp_azure_mcp_aks
CLIaz aks create, az aks show, kubectl get, kubectl describe
Related skillsazure-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)

When to Use This Skill

Activate this skill when user wants to:

  • Create a new AKS cluster
  • Plan AKS cluster configuration for production workloads
  • Design AKS networking (API server access, pod IP model, egress)
  • Set up AKS identity and secrets management
  • Configure AKS governance (Azure Policy, Deployment Safeguards)
  • Enable AKS observability (Container Insights, Managed Prometheus, Grafana)
  • Define AKS upgrade and patching strategy
  • Understand AKS Automatic vs Standard SKU differences
  • Get a Day-0 checklist for AKS cluster setup and configuration

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 only when a focused optional AKS operational skill could improve the current task.

Rules

  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).

Required Inputs (Ask only what’s needed)

If the user is unsure, use safe defaults.

  • AKS environment type: dev/test or production
  • Region(s), availability zones, preferred node VM sizes
  • Expected scale (node/cluster count, workload size)
  • Networking requirements (API server access, pod IP model, ingress/egress control)
  • Security and identity requirements, including image registry
  • Upgrade and observability preferences
  • Cost constraints

Workflow

1. Cluster Type

  • AKS Automatic (default): Best for most production workloads, provides a curated experience with pre-configured best practices for security, reliability, and performance. Use unless you have specific custom requirements for networking, autoscaling, or node pool configurations not supported by Node Auto-Provisioning (NAP).
  • AKS Standard: Use if you need full control over environment configuration, which requires additional overhead to set up and manage.

2. Networking (Pod IP, Egress, Ingress, Dataplane)

Pod IP Model (Key Day-0 decision):

  • Azure CNI Overlay (recommended): pod IPs from private overlay range, not VNet-routable, scales to large environments and good for most workloads
  • Azure CNI (VNet-routable): pod IPs directly from VNet (pod subnet or node subnet), use when pods must be directly addressable from VNet or on-prem

Dataplane & Network Policy:

  • Azure CNI powered by Cilium (recommended): eBPF-based for high-performance packet processing, network policies, and observability

Egress:

  • Static Egress Gateway for stable, predictable outbound IPs
  • For restricted egress: UDR + Azure Firewall or NVA

Ingress:

  • App Routing addon with Gateway API β€” recommended default for HTTP/HTTPS workloads
  • Istio service mesh with Gateway API - for advanced traffic management, mTLS, canary releases
  • Application Gateway for Containers β€” for L7 load balancing with WAF integration

DNS:

  • Enable LocalDNS on all node pools for reliable, performant DNS resolution

3. Security

  • Use Microsoft Entra ID everywhere (control plane, Workload Identity for pods, node access). Avoid static credentials.
  • Azure Key Vault via Secrets Store CSI Driver for secrets
  • Enable Azure Policy + Deployment Safeguards
  • Enable Encryption at rest for etcd/API server; in-transit for node-to-node
  • Allow only signed, policy-approved images (Azure Policy + Ratify), prefer Azure Container Registry
  • Isolation: Use namespaces, network policies, scoped logging

4. Observability

  • Use Managed Prometheus and Container Insights with Grafana for AKS observability (logs + metrics).
  • Enable Diagnostic Settings to collect control plane logs and audit logs in a Log Analytics workspace for security monitoring and troubleshooting.
  • For other monitoring and troubleshooting tools, use features like the Agentic CLI for AKS, Application Insights, Resource Health Center, AppLens detectors, and Azure Advisors.

5. Upgrades & Patching

  • Configure Maintenance Windows for controlled upgrade timing
  • Enable auto-upgrades for control plane and node OS to stay up-to-date with security patches and Kubernetes versions
  • Consider LTS versions for enterprise stability (2-year support) by upgrading your AKS environment to the Premium tier
  • Fleet upgrades: Use AKS Fleet Manager for staged rollout across test to production environments

6. Performance

  • Use Ephemeral OS disks (--node-osdisk-type Ephemeral) for faster node startup
  • Select Azure Linux as node OS (smaller footprint, faster boot)
  • Enable KEDA for event-driven autoscaling beyond HPA

7. Node Pools & Compute

  • Dedicated system node pool: At least 2 nodes, tainted for system workloads only (CriticalAddonsOnly)
  • Node Auto Provisioning (NAP) is enabled per cluster and can reduce cost when dynamic capacity fits workload demand; savings are not guaranteed. Enable NAP for new clusters. For existing clusters, use optional AKS operations to invoke aks-cost-optimization when available for NAP readiness. Otherwise, continue with base NAP readiness.
  • Use latest generation SKUs (v5/v6) for host-level optimizations
  • Avoid B-series VMs β€” burstable SKUs cause performance/reliability issues
  • Use SKUs with at least 4 vCPUs for production workloads
  • Set topology spread constraints to distribute pods across hosts/zones per SLO

8. Reliability

  • Deploy across 3 Availability Zones (--zones 1 2 3)
  • Use Standard tier for zone-redundant control plane + 99.95% SLA for API server availability
  • Enable Microsoft Defender for Containers for runtime protection
  • Configure PodDisruptionBudgets for all production workloads
  • Use topology spread constraints to ensure pod distribution across failure domains

9. Cost Controls

  • Use Spot node pools for batch/interruptible workloads (up to 90% savings)
  • Stop/Start dev/test clusters: az aks stop/start

Focused AKS Cost Workflows

For a focused request, load only the relevant reference file.

ScenarioTrigger KeywordsReference
Pod Rightsizingover-provisioned pods, CPU requests, memory requests, rightsize workloadsazure-aks-rightsizing.md
VPA Setupvertical pod autoscaler, VPA recommendations, VPA enableazure-aks-vpa.md
Cluster Autoscaleridle nodes, CAS off, enable autoscaler, scale-down profile, node utilizationazure-aks-autoscaler.md
Spot Node PoolsSpot VMs, Spot nodes, batch workloads, cheaper nodesazure-aks-spot.md
Advanced AKS Cost EfficiencyNAP readiness, node-pool bin packing, blocked scale-down, Kubernetes storage costoptional AKS operations

Disambiguation: If a prompt matches multiple rows (e.g., "cheaper nodes" could suggest both Spot and autoscaler), prefer the most specific match. If ambiguous, ask the user to clarify their intent before loading a reference file.

Comprehensive AKS Cost Review

When the user requests an overall AKS cost assessment rather than one focused workflow, this skill owns triage and coordinates one unified review:

  1. Confirm the target subscription, resource group, and AKS cluster. If cost-analysis is available, collect one billed-cost baseline for that scope and reuse it throughout the review.
  2. Evaluate the applicable rightsizing, VPA, Cluster Autoscaler, and Spot workflows.
  3. Invoke aks-cost-optimization when available for NAP readiness, node-pool bin packing, node-scaling bottlenecks, or Kubernetes-to-Azure storage optimization.
  4. Check for stable non-Spot demand. If present, invoke cost-optimization when available for commitment analysis. If the capability or evidence is unavailable, report commitment analysis as a gap. Do not recommend a purchase from this review alone.

Investigate applicable levers and return one ranked report. Rank by comparable estimated cost impact when available; keep unknown monetary impact unknown rather than zero. Do not present one narrow analysis as the complete review. Mark unavailable capabilities or evidence as gaps.

RankLeverEvidenceEstimated cost impact and basisRiskApproval neededConfidence

Guardrails / Safety

  • Do not request or output secrets (tokens, keys).
  • Do not ask the user to paste subscription IDs. Discover subscription and resource scope via MCP tools (e.g., list subscriptions, list resource groups) or az account show / az account list so the agent can resolve context without exposing identifiers.
  • If requirements are ambiguous for day-0 critical decisions, ask the user clarifying questions. For day-1 enabled features, propose 2–3 safe options with tradeoffs and choose a conservative default.
  • Do not promise zero downtime; advise workload safeguards (PDBs, probes, replicas) and staged upgrades along with best practices for reliability and performance.

MCP Tools

ToolPurposeKey Parameters
mcp_azure_mcp_aksAKS MCP entry point used to discover the exact AKS-specific tools exposed by the clientDiscover the callable AKS tool first, then use that tool's parameters

Error Handling

Error / SymptomLikely CauseRemediation
MCP tool call fails or times outInvalid credentials, subscription, or AKS contextVerify 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 exceededRegional vCPU or resource limitsRequest quota increase or select different region/VM SKU
Networking conflict (IP exhaustion)Pod subnet too small for overlay/CNIRe-plan IP ranges; may require cluster recreation (Day-0)
Workload Identity not workingMissing OIDC issuer or federated credentialEnable --enable-oidc-issuer --enable-workload-identity, configure federated identity

More from this repository10

🎯
microsoft-foundry🎯Skill

Helps you build, deploy, test, and manage AI agents and models on Microsoft Foundry, Microsoft's Azure service for AI. It guides the AI through each task with fixed steps.

🎯
azure-diagnostics🎯Skill

Helps you find and fix problems in apps running on Azure, such as crashes, slow responses, or connection failures. It checks things in a set order and can work only from logs you provide.

🎯
azure-prepare🎯Skill

azure-prepare gets a new or existing app ready to deploy to Azure with azd, Microsoft's command-line tool for Azure. It first writes a plan for your approval, then creates the setup files.

🎯
azure-deploy🎯Skill

azure-deploy puts your app on Azure after the azure-prepare and azure-validate skills have prepared and checked it. It runs the deployment, recovers from errors, and gives you the live web addresses.

🎯
azure-validate🎯Skill

azure-validate checks your Azure app before you deploy it, so you can catch setup and permission problems early. It runs after azure-prepare and before azure-deploy.

🎯
azure-resource-lookup🎯Skill

azure-resource-lookup finds and lists your Azure resources, such as web apps, virtual machines, and storage accounts, across your subscriptions. It only reads data and never changes anything.

🎯
azure-resource-visualizer🎯Skill

azure-resource-visualizer draws a diagram of an Azure resource group that shows how each resource connects to the others. It saves the diagram and notes in a markdown file.

🎯
azure-kusto🎯Skill

Lets Claude search and summarize large amounts of logs and app data stored in Azure Data Explorer. You ask what you want to know, and it writes and runs the queries for you.

🎯
azure-aigateway🎯Skill

Helps you send all requests to your AI models and tools through Azure API Management, so you can control cost, block harmful content and limit traffic. It includes Azure command-line steps for setup and testing.

🎯
azure-messaging🎯Skill

Helps you find and fix errors in apps that send and receive messages through Azure Event Hubs or Service Bus. It checks service health and Microsoft docs to suggest a fix.