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.
npx skills add https://github.com/itsmostafa/aws-agent-skills --skill 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.
Managed by AWS. Runs Kubernetes API server, etcd, and controllers across multiple AZs.
| Type | Description |
|------|-------------|
| Managed | AWS manages provisioning, updates |
| Self-managed | You manage EC2 instances |
| Fargate | Serverless, per-pod compute |
Associates Kubernetes service accounts with IAM roles for fine-grained AWS permissions.
Operational software: CoreDNS, kube-proxy, VPC CNI, EBS CSI driver.
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
# 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
# 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
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
# 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
# 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
| 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 |
| 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 |
| 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 |
# Enable secrets encryption
aws eks create-cluster \
--name my-cluster \
--encryption-config '[{
"provider": {"keyArn": "arn:aws:kms:us-east-1:123456789012:key/..."},
"resources": ["secrets"]
}]' \
...
# 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'
Check:
# 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
# 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
# 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
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.
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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).
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).
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).
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.
Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.
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.
Take itsmostafa/eks from the repository into ~/.claude/skills for personal
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