AZ

azure-kubernetes

Assists with planning and configuring production-grade AKS clusters, focusing on networking, security, and day-zero operations.

Install

mkdir -p .claude/skills/azure-kubernetes && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/19427" && unzip -o skill.zip -d .claude/skills/azure-kubernetes && rm skill.zip

Installs to .claude/skills/azure-kubernetes

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

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.
621 chars✓ has a “when” triggerlonger than Claude Code's old 250-char listing cap (fine on current versions)
Advanced

Key capabilities

  • Plan production-ready AKS cluster configurations
  • Select between AKS Automatic and Standard SKUs
  • Configure networking including Azure CNI Overlay and egress
  • Implement security via Microsoft Entra ID and Secrets Store CSI
  • Enable observability with Managed Prometheus and Container Insights

How it works

The skill guides users through Day-0 architectural decisions for AKS, use MCP tools to discover and apply cluster configurations based on production best practices.

Inputs & outputs

You give it
Workload requirements and networking constraints
You get back
AKS cluster configuration plan

When to use azure-kubernetes

  • Plan production AKS architecture
  • Configure AKS networking and security
  • Design cluster autoscaling strategies
  • Optimize resource requests and limits

About this skill

Azure Kubernetes Service

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.

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-diagnostics (troubleshooting AKS), azure-validate (readiness checks), azure-kubernetes-automatic-readiness (migrate existing cluster to AKS Automatic)

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

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 — recommended default for HTTP/HTTPS workloads
  • Istio service mesh with Gateway API - for advanced traffic management, mTLS, canary releases
  • Application Gateway for Containers — 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)
  • Enable Node Auto Provisioning (NAP) on all pools for cost savings and responsive scaling
  • Use latest generation SKUs (v5/v6) for host-level optimizations
  • Avoid B-series VMs — 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
  • Consider Reserved Instances or Savings Plans for steady-state workloads

Deep-dive scenarios — 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

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.

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

When not to use it

  • Exposing secrets or tokens in configuration
  • Hardcoding subscription identifiers
  • Attempting to change Day-0 networking settings post-creation

Prerequisites

Azure subscriptionAzure CLI

Limitations

  • Day-0 networking decisions are difficult to change later
  • Does not guarantee zero downtime during upgrades

How it compares

It distinguishes between immutable Day-0 decisions and flexible Day-1 features, providing a structured path for production readiness that generic guides lack.

Compared to similar skills

azure-kubernetes side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
azure-kubernetes (this skill)019dNo flagsAdvanced
skill-aks-health04moNo flagsIntermediate
azure-stack-edge03moNo flagsIntermediate
azure-cyclecloud04moNo flagsAdvanced

Try saying

Example prompts that trigger this skill in your AI assistant.

Search skills

Search the agent skills registry