
kubernetes-ops
Deploy, scale, and manage Kubernetes workloads. Create deployments, services, and configurations, manage cluster resources, troubleshoot pods, and implement production-ready Kubernetes patterns. Use when working with Kubernetes clusters, K8s deployments, or container orchestration.
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- Security
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/bagelhole/devops-security-agent-skills --skill kubernetes-ops- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads kubernetes-ops automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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
FAQ
What does the kubernetes-ops skill do?
Deploy, scale, and manage Kubernetes workloads. Create deployments, services, and configurations, manage cluster resources, troubleshoot pods, and implement production-ready Kubernetes patterns. Use when working with Kubernetes clusters, K8s deployments, or container orchestration.
How do I install kubernetes-ops?
Run npx skills add https://github.com/bagelhole/devops-security-agent-skills --skill kubernetes-ops in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/kubernetes-ops/ (personal) or .claude/skills/kubernetes-ops/ (project).
Which AI agents can use kubernetes-ops?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is kubernetes-ops safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains kubernetes-ops?
It is published by bagelhole in bagelhole/devops-security-agent-skills. It has 395 recorded installs.
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