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Kubernetes Ops

  • 107 installs
  • 44 repo stars
  • Updated May 22, 2026
  • bagelhole/devops-security-agent-skills

kubernetes-ops is a Claude skill that generates Kubernetes manifests and kubectl workflows to deploy, scale and troubleshoot containerized applications.

About

kubernetes-ops is a skill that helps an agent deploy and manage containerized applications on Kubernetes clusters. It supplies YAML templates for Deployments, Services, Ingress, ConfigMaps, Secrets, HPA, PVCs and StatefulSets, plus kubectl commands for applying config, viewing logs, scaling and debugging pods. A developer uses it when writing K8s manifests or troubleshooting workloads.

  • Ready-to-use YAML for Deployments, Services, Ingress, ConfigMaps and Secrets
  • kubectl command reference for apply, logs, exec, port-forward and scaling
  • HPA, PVC and StatefulSet patterns for production workloads

Kubernetes Ops by the numbers

  • 107 all-time installs (skills.sh)
  • Ranked #535 of 1,435 DevOps & CI/CD skills by installs in the Skillselion catalog
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
At a glance

kubernetes-ops capabilities & compatibility

Capabilities
kustomize · load balancing · llm inference scaling · loki logging
Works with
kubernetes · docker
Use cases
devops · ci cd
Runs
Runs locally
Pricing
Free
From the docs

What kubernetes-ops says it does

Deploy and manage containerized applications on Kubernetes clusters.
SKILL.md
Use this skill when: - Deploying applications to Kubernetes - Managing pods, deployments, and services
SKILL.md
npx skills add https://github.com/bagelhole/devops-security-agent-skills --skill kubernetes-ops

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Listed on Skillselion
Installs107
repo stars44
Last updatedMay 22, 2026
Repositorybagelhole/devops-security-agent-skills

What it does

Write and manage Kubernetes deployments, services, ingress and scaling config, and troubleshoot pods with kubectl.

Who is it for?

Developers writing Kubernetes manifests or debugging pods on an existing cluster

Skip if: Teams that manage configs across many environments without templating (see kustomize)

When should I use this skill?

Deploying to Kubernetes, managing pods/deployments/services, or troubleshooting K8s workloads

What you get

Working Deployment, Service, Ingress and scaling config plus the kubectl commands to operate it

  • Kubernetes manifests
  • kubectl operational commands
  • Autoscaling and storage config

By the numbers

  • Covers 8+ resource kinds (Deployment, Service, Ingress, ConfigMap, Secret, HPA, PVC, StatefulSet)

Files

SKILL.mdMarkdownGitHub ↗

Kubernetes Operations

Deploy and manage containerized applications on Kubernetes clusters.

When to Use This Skill

Use this skill when:

  • Deploying applications to Kubernetes
  • Managing pods, deployments, and services
  • Configuring resource limits and scaling
  • Troubleshooting Kubernetes workloads
  • Setting up networking and ingress

Prerequisites

  • kubectl installed and configured
  • Access to a Kubernetes cluster
  • Basic understanding of containers

Core Resources

Deployment

apiVersion: apps/v1
kind: Deployment
metadata:
  name: myapp
  labels:
    app: myapp
spec:
  replicas: 3
  selector:
    matchLabels:
      app: myapp
  template:
    metadata:
      labels:
        app: myapp
    spec:
      containers:
      - name: myapp
        image: myapp:1.0.0
        ports:
        - containerPort: 8080
        resources:
          requests:
            memory: "128Mi"
            cpu: "100m"
          limits:
            memory: "256Mi"
            cpu: "500m"
        livenessProbe:
          httpGet:
            path: /health
            port: 8080
          initialDelaySeconds: 10
          periodSeconds: 10
        readinessProbe:
          httpGet:
            path: /ready
            port: 8080
          initialDelaySeconds: 5
          periodSeconds: 5
        env:
        - name: DATABASE_URL
          valueFrom:
            secretKeyRef:
              name: myapp-secrets
              key: database-url

Service

apiVersion: v1
kind: Service
metadata:
  name: myapp
spec:
  selector:
    app: myapp
  ports:
  - port: 80
    targetPort: 8080
  type: ClusterIP
---
# LoadBalancer for external access
apiVersion: v1
kind: Service
metadata:
  name: myapp-external
spec:
  selector:
    app: myapp
  ports:
  - port: 80
    targetPort: 8080
  type: LoadBalancer

Ingress

apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: myapp
  annotations:
    nginx.ingress.kubernetes.io/rewrite-target: /
spec:
  ingressClassName: nginx
  tls:
  - hosts:
    - myapp.example.com
    secretName: myapp-tls
  rules:
  - host: myapp.example.com
    http:
      paths:
      - path: /
        pathType: Prefix
        backend:
          service:
            name: myapp
            port:
              number: 80

Configuration Management

ConfigMap

apiVersion: v1
kind: ConfigMap
metadata:
  name: myapp-config
data:
  config.yaml: |
    server:
      port: 8080
    logging:
      level: info
  APP_ENV: production
# Using ConfigMap
containers:
- name: myapp
  envFrom:
  - configMapRef:
      name: myapp-config
  volumeMounts:
  - name: config
    mountPath: /etc/config
volumes:
- name: config
  configMap:
    name: myapp-config

Secret

apiVersion: v1
kind: Secret
metadata:
  name: myapp-secrets
type: Opaque
stringData:
  database-url: postgres://user:pass@host:5432/db
  api-key: secret-key-value
# Create secret from command line
kubectl create secret generic myapp-secrets \
  --from-literal=database-url='postgres://...' \
  --from-file=tls.crt=cert.pem

kubectl Commands

Resource Management

# Apply configuration
kubectl apply -f deployment.yaml

# Get resources
kubectl get pods
kubectl get deployments
kubectl get services
kubectl get all -n myapp

# Describe resource
kubectl describe pod myapp-xxx

# Delete resource
kubectl delete -f deployment.yaml
kubectl delete pod myapp-xxx

# Edit resource
kubectl edit deployment myapp

Debugging

# View logs
kubectl logs myapp-xxx
kubectl logs -f myapp-xxx --tail=100
kubectl logs myapp-xxx -c sidecar  # specific container

# Execute command
kubectl exec -it myapp-xxx -- /bin/sh

# Port forward
kubectl port-forward svc/myapp 8080:80
kubectl port-forward pod/myapp-xxx 8080:8080

# View events
kubectl get events --sort-by='.lastTimestamp'

# Debug pod
kubectl debug myapp-xxx -it --image=busybox

Scaling

# Manual scaling
kubectl scale deployment myapp --replicas=5

# Autoscaling
kubectl autoscale deployment myapp \
  --min=2 --max=10 \
  --cpu-percent=80

Horizontal Pod Autoscaler

apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: myapp
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: myapp
  minReplicas: 2
  maxReplicas: 10
  metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization
        averageUtilization: 80
  - type: Resource
    resource:
      name: memory
      target:
        type: Utilization
        averageUtilization: 80

Persistent Storage

PersistentVolumeClaim

apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: myapp-data
spec:
  accessModes:
    - ReadWriteOnce
  storageClassName: standard
  resources:
    requests:
      storage: 10Gi
---
# Using PVC
containers:
- name: myapp
  volumeMounts:
  - name: data
    mountPath: /data
volumes:
- name: data
  persistentVolumeClaim:
    claimName: myapp-data

StatefulSet

apiVersion: apps/v1
kind: StatefulSet
metadata:
  name: postgres
spec:
  serviceName: postgres
  replicas: 3
  selector:
    matchLabels:
      app: postgres
  template:
    metadata:
      labels:
        app: postgres
    spec:
      containers:
      - name: postgres
        image: postgres:15
        ports:
        - containerPort: 5432
        volumeMounts:
        - name: data
          mountPath: /var/lib/postgresql/data
  volumeClaimTemplates:
  - metadata:
      name: data
    spec:
      accessModes: ["ReadWriteOnce"]
      resources:
        requests:
          storage: 10Gi

Jobs and CronJobs

Job

apiVersion: batch/v1
kind: Job
metadata:
  name: migration
spec:
  template:
    spec:
      containers:
      - name: migrate
        image: myapp:1.0.0
        command: ["./migrate.sh"]
      restartPolicy: Never
  backoffLimit: 3

CronJob

apiVersion: batch/v1
kind: CronJob
metadata:
  name: backup
spec:
  schedule: "0 2 * * *"
  jobTemplate:
    spec:
      template:
        spec:
          containers:
          - name: backup
            image: backup-tool:latest
            command: ["./backup.sh"]
          restartPolicy: OnFailure

Network Policies

apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: myapp-network-policy
spec:
  podSelector:
    matchLabels:
      app: myapp
  policyTypes:
  - Ingress
  - Egress
  ingress:
  - from:
    - podSelector:
        matchLabels:
          app: frontend
    ports:
    - protocol: TCP
      port: 8080
  egress:
  - to:
    - podSelector:
        matchLabels:
          app: database
    ports:
    - protocol: TCP
      port: 5432

Resource Quotas

apiVersion: v1
kind: ResourceQuota
metadata:
  name: myapp-quota
  namespace: myapp
spec:
  hard:
    requests.cpu: "10"
    requests.memory: 20Gi
    limits.cpu: "20"
    limits.memory: 40Gi
    pods: "20"

Rolling Updates

spec:
  strategy:
    type: RollingUpdate
    rollingUpdate:
      maxSurge: 1
      maxUnavailable: 0
# Update image
kubectl set image deployment/myapp myapp=myapp:2.0.0

# Check rollout status
kubectl rollout status deployment/myapp

# View history
kubectl rollout history deployment/myapp

# Rollback
kubectl rollout undo deployment/myapp
kubectl rollout undo deployment/myapp --to-revision=2

Common Issues

Issue: Pod Stuck in Pending

Problem: Pod won't start Solution: Check resource availability, node selector, PVC binding

kubectl describe pod myapp-xxx
kubectl get events

Issue: CrashLoopBackOff

Problem: Container keeps restarting Solution: Check logs, verify entrypoint, check probes

kubectl logs myapp-xxx --previous
kubectl describe pod myapp-xxx

Issue: Service Not Accessible

Problem: Cannot connect to service Solution: Check selector labels, verify endpoints exist

kubectl get endpoints myapp
kubectl describe svc myapp

Issue: Image Pull Error

Problem: ImagePullBackOff Solution: Check image name, verify registry credentials

kubectl create secret docker-registry regcred \
  --docker-server=registry.example.com \
  --docker-username=user \
  --docker-password=pass

Best Practices

  • Always set resource requests and limits
  • Implement liveness and readiness probes
  • Use namespaces for isolation
  • Apply network policies for security
  • Use ConfigMaps and Secrets for configuration
  • Implement pod disruption budgets for availability
  • Use labels consistently for organization
  • Enable RBAC for access control

Related Skills

  • helm-charts - Package management
  • argocd-gitops - GitOps deployments
  • kubernetes-hardening - Security

Related skills

FAQ

What Kubernetes resources does this skill cover?

Deployments, Services, Ingress, ConfigMaps, Secrets, HorizontalPodAutoscaler, PersistentVolumeClaims and StatefulSets.

Do I need a cluster to use it?

Yes. The prerequisites are kubectl installed and configured plus access to a Kubernetes cluster.

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