mcpbeat Sign in

Eks Agent Skill

AWS EKS Kubernetes management for clusters, node groups, and workloads. Use when creating clusters, configuring IRSA, managing node groups, deploying applications, or integrating with AWS services.

5k tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
1139
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/itsmostafa/aws-agent-skills --skill eks

The instruction itself

28 sections, as written by the author

AWS EKS

Amazon Elastic Kubernetes Service (EKS) runs Kubernetes without installing and operating your own control plane. EKS manages the control plane and integrates with AWS services.

Table of Contents

  • Core Concepts
  • Common Patterns
  • CLI Reference
  • Best Practices
  • Troubleshooting
  • References

Core Concepts

Control Plane

Managed by AWS. Runs Kubernetes API server, etcd, and controllers across multiple AZs.

Node Groups

| Type | Description |

|------|-------------|

| Managed | AWS manages provisioning, updates |

| Self-managed | You manage EC2 instances |

| Fargate | Serverless, per-pod compute |

IRSA (IAM Roles for Service Accounts)

Associates Kubernetes service accounts with IAM roles for fine-grained AWS permissions.

Add-ons

Operational software: CoreDNS, kube-proxy, VPC CNI, EBS CSI driver.

Common Patterns

Create a Cluster

AWS CLI:

# Create cluster role
aws iam create-role \
  --role-name eks-cluster-role \
  --assume-role-policy-document '{
    "Version": "2012-10-17",
    "Statement": [{
      "Effect": "Allow",
      "Principal": {"Service": "eks.amazonaws.com"},
      "Action": "sts:AssumeRole"
    }]
  }'

aws iam attach-role-policy \
  --role-name eks-cluster-role \
  --policy-arn arn:aws:iam::aws:policy/AmazonEKSClusterPolicy

# Create cluster
aws eks create-cluster \
  --name my-cluster \
  --role-arn arn:aws:iam::123456789012:role/eks-cluster-role \
  --resources-vpc-config subnetIds=subnet-12345678,subnet-87654321,securityGroupIds=sg-12345678

# Wait for cluster
aws eks wait cluster-active --name my-cluster

# Update kubeconfig
aws eks update-kubeconfig --name my-cluster --region us-east-1

eksctl (Recommended):

# Create cluster with managed node group
eksctl create cluster \
  --name my-cluster \
  --region us-east-1 \
  --version 1.29 \
  --nodegroup-name standard-workers \
  --node-type t3.medium \
  --nodes 3 \
  --nodes-min 1 \
  --nodes-max 5 \
  --managed

Add Managed Node Group

# Create node role
aws iam create-role \
  --role-name eks-node-role \
  --assume-role-policy-document '{
    "Version": "2012-10-17",
    "Statement": [{
      "Effect": "Allow",
      "Principal": {"Service": "ec2.amazonaws.com"},
      "Action": "sts:AssumeRole"
    }]
  }'

aws iam attach-role-policy --role-name eks-node-role --policy-arn arn:aws:iam::aws:policy/AmazonEKSWorkerNodePolicy
aws iam attach-role-policy --role-name eks-node-role --policy-arn arn:aws:iam::aws:policy/AmazonEC2ContainerRegistryReadOnly
aws iam attach-role-policy --role-name eks-node-role --policy-arn arn:aws:iam::aws:policy/AmazonEKS_CNI_Policy

# Create node group
aws eks create-nodegroup \
  --cluster-name my-cluster \
  --nodegroup-name standard-workers \
  --node-role arn:aws:iam::123456789012:role/eks-node-role \
  --subnets subnet-12345678 subnet-87654321 \
  --instance-types t3.medium \
  --scaling-config minSize=1,maxSize=5,desiredSize=3 \
  --ami-type AL2_x86_64

Configure IRSA

# Enable OIDC provider
eksctl utils associate-iam-oidc-provider \
  --cluster my-cluster \
  --approve

# Create IAM role for service account
eksctl create iamserviceaccount \
  --cluster my-cluster \
  --namespace default \
  --name my-app-sa \
  --attach-policy-arn arn:aws:iam::aws:policy/AmazonS3ReadOnlyAccess \
  --approve

Manual IRSA setup:

# Get OIDC issuer
OIDC_ISSUER=$(aws eks describe-cluster --name my-cluster --query "cluster.identity.oidc.issuer" --output text)
OIDC_ID=${OIDC_ISSUER##*/}

# Create trust policy
cat > trust-policy.json << EOF
{
  "Version": "2012-10-17",
  "Statement": [{
    "Effect": "Allow",
    "Principal": {
      "Federated": "arn:aws:iam::123456789012:oidc-provider/oidc.eks.us-east-1.amazonaws.com/id/${OIDC_ID}"
    },
    "Action": "sts:AssumeRoleWithWebIdentity",
    "Condition": {
      "StringEquals": {
        "oidc.eks.us-east-1.amazonaws.com/id/${OIDC_ID}:sub": "system:serviceaccount:default:my-app-sa",
        "oidc.eks.us-east-1.amazonaws.com/id/${OIDC_ID}:aud": "sts.amazonaws.com"
      }
    }
  }]
}
EOF

aws iam create-role --role-name my-app-role --assume-role-policy-document file://trust-policy.json

Kubernetes Service Account

apiVersion: v1
kind: ServiceAccount
metadata:
  name: my-app-sa
  namespace: default
  annotations:
    eks.amazonaws.com/role-arn: arn:aws:iam::123456789012:role/my-app-role

Install Add-ons

# CoreDNS
aws eks create-addon \
  --cluster-name my-cluster \
  --addon-name coredns \
  --addon-version v1.11.1-eksbuild.4

# VPC CNI
aws eks create-addon \
  --cluster-name my-cluster \
  --addon-name vpc-cni \
  --addon-version v1.16.0-eksbuild.1

# kube-proxy
aws eks create-addon \
  --cluster-name my-cluster \
  --addon-name kube-proxy \
  --addon-version v1.29.0-eksbuild.1

# EBS CSI Driver
aws eks create-addon \
  --cluster-name my-cluster \
  --addon-name aws-ebs-csi-driver \
  --addon-version v1.27.0-eksbuild.1 \
  --service-account-role-arn arn:aws:iam::123456789012:role/ebs-csi-role

Deploy Application

# deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: my-app
spec:
  replicas: 3
  selector:
    matchLabels:
      app: my-app
  template:
    metadata:
      labels:
        app: my-app
    spec:
      serviceAccountName: my-app-sa
      containers:
      - name: app
        image: 123456789012.dkr.ecr.us-east-1.amazonaws.com/my-app:latest
        ports:
        - containerPort: 8080
        resources:
          requests:
            cpu: 100m
            memory: 128Mi
          limits:
            cpu: 500m
            memory: 512Mi
---
apiVersion: v1
kind: Service
metadata:
  name: my-app
  annotations:
    service.beta.kubernetes.io/aws-load-balancer-type: nlb
spec:
  type: LoadBalancer
  ports:
  - port: 80
    targetPort: 8080
  selector:
    app: my-app

CLI Reference

Cluster Management

| Command | Description |

|---------|-------------|

| aws eks create-cluster | Create cluster |

| aws eks describe-cluster | Get cluster details |

| aws eks update-cluster-config | Update cluster settings |

| aws eks delete-cluster | Delete cluster |

| aws eks update-kubeconfig | Configure kubectl |

Node Groups

| Command | Description |

|---------|-------------|

| aws eks create-nodegroup | Create node group |

| aws eks describe-nodegroup | Get node group details |

| aws eks update-nodegroup-config | Update node group |

| aws eks delete-nodegroup | Delete node group |

Add-ons

| Command | Description |

|---------|-------------|

| aws eks create-addon | Install add-on |

| aws eks describe-addon | Get add-on details |

| aws eks update-addon | Update add-on |

| aws eks delete-addon | Remove add-on |

Best Practices

Security

  • Use IRSA for pod-level AWS permissions
  • Enable cluster encryption with KMS
  • Use private endpoint for API server
  • Enable audit logging to CloudWatch
  • Use security groups for pods
  • Implement network policies
# Enable secrets encryption
aws eks create-cluster \
  --name my-cluster \
  --encryption-config '[{
    "provider": {"keyArn": "arn:aws:kms:us-east-1:123456789012:key/..."},
    "resources": ["secrets"]
  }]' \
  ...

High Availability

  • Deploy across multiple AZs
  • Use managed node groups
  • Set pod disruption budgets
  • Configure horizontal pod autoscaling

Cost Optimization

  • Use Spot instances for non-critical workloads
  • Right-size nodes and pods
  • Use Fargate for variable workloads
  • Implement cluster autoscaler
  • Use Karpenter for efficient scaling

Troubleshooting

Cannot Connect to Cluster

# Verify kubeconfig
aws eks update-kubeconfig --name my-cluster --region us-east-1

# Check IAM identity
aws sts get-caller-identity

# Verify cluster status
aws eks describe-cluster --name my-cluster --query 'cluster.status'

Nodes Not Joining

Check:

  • Node IAM role has required policies
  • Security groups allow node-to-control-plane communication
  • Nodes have network access to API server
# Check node status
kubectl get nodes

# Check aws-auth ConfigMap
kubectl describe configmap aws-auth -n kube-system

# Check node logs (SSH to node)
journalctl -u kubelet

Pod Cannot Access AWS Services

# Verify IRSA setup
kubectl describe sa my-app-sa

# Check pod environment
kubectl exec my-pod -- env | grep AWS

# Test credentials
kubectl exec my-pod -- aws sts get-caller-identity

DNS Issues

# Check CoreDNS pods
kubectl get pods -n kube-system -l k8s-app=kube-dns

# Test DNS resolution
kubectl run test --image=busybox:1.28 --rm -it -- nslookup kubernetes

# Check CoreDNS logs
kubectl logs -n kube-system -l k8s-app=kube-dns

References

Other skills for the same job

different authors, same section of the catalogue
Azure Kubernetes Automatic Readiness
by microsoft
vendor ×3

Assess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic. WHEN: migrate to AKS Automatic, check AKS Automatic readiness, validate manifests for Automatic, assess cluster for Automatic compatibility, fix deployment for Automatic compatibility, identify AKS Automatic migration blockers, is my cluster ready for AKS Automatic.

13k tokens
Capacity
by microsoft
vendor ×3

Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.

6k tokens scripts
Customize
by microsoft
vendor ×3

Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).

8k tokens
Deploy Model
by microsoft
vendor ×3

Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).

26k tokens scripts
Preset
by microsoft
vendor ×3

Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).

9k tokens
Lamindb
by christophacham
×3

This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.

22k tokens
Latchbio Integration
by christophacham
×3

Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.

12k tokens
Modal
by christophacham
×3

Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.

17k tokens

How to use it

Copy the folder

Take itsmostafa/eks from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.