From claude-code-toolkit
Provides Kubernetes deployment manifests, Helm chart structure, HPA configuration, and troubleshooting commands for managing clusters.
How this skill is triggered — by the user, by Claude, or both
Slash command
/claude-code-toolkit:kubernetes-operationsThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: api-server
labels:
app: api-server
version: v1
spec:
replicas: 3
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 1
maxUnavailable: 0
selector:
matchLabels:
app: api-server
template:
metadata:
labels:
app: api-server
version: v1
spec:
containers:
- name: api
image: registry.example.com/api:1.2.0
ports:
- containerPort: 8080
resources:
requests:
cpu: 100m
memory: 128Mi
limits:
cpu: 500m
memory: 512Mi
livenessProbe:
httpGet:
path: /healthz
port: 8080
initialDelaySeconds: 10
periodSeconds: 15
readinessProbe:
httpGet:
path: /ready
port: 8080
initialDelaySeconds: 5
periodSeconds: 5
env:
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: db-credentials
key: url
topologySpreadConstraints:
- maxSkew: 1
topologyKey: kubernetes.io/hostname
whenUnsatisfiable: DoNotSchedule
labelSelector:
matchLabels:
app: api-server
Always set resource requests and limits. Use topology spread constraints for high availability.
chart/
Chart.yaml
values.yaml
values-staging.yaml
values-production.yaml
templates/
deployment.yaml
service.yaml
ingress.yaml
hpa.yaml
_helpers.tpl
# values.yaml
replicaCount: 2
image:
repository: registry.example.com/api
tag: "1.2.0"
pullPolicy: IfNotPresent
resources:
requests:
cpu: 100m
memory: 128Mi
limits:
cpu: 500m
memory: 512Mi
autoscaling:
enabled: true
minReplicas: 2
maxReplicas: 10
targetCPUUtilization: 70
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: api-server
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: api-server
minReplicas: 2
maxReplicas: 10
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 70
- type: Resource
resource:
name: memory
target:
type: Utilization
averageUtilization: 80
behavior:
scaleDown:
stabilizationWindowSeconds: 300
# Pod diagnostics
kubectl describe pod <pod-name> -n <namespace>
kubectl logs <pod-name> -c <container> --previous
kubectl exec -it <pod-name> -- /bin/sh
# Resource usage
kubectl top pods -n <namespace> --sort-by=memory
kubectl top nodes
# Network debugging
kubectl run debug --image=nicolaka/netshoot --rm -it -- bash
nslookup <service-name>.<namespace>.svc.cluster.local
# Events sorted by time
kubectl get events -n <namespace> --sort-by='.lastTimestamp'
# Find pods not running
kubectl get pods -A --field-selector=status.phase!=Running
securityContext.runAsNonRoot: truelatest tag instead of pinned image versionsPodDisruptionBudget for critical workloadslatestnpx claudepluginhub rohitg00/awesome-claude-code-toolkitCreates and manages Kubernetes manifests, Helm charts, RBAC policies, and NetworkPolicies. Debugs pods, analyzes resources, and configures GitOps pipelines or service meshes.
Creates and manages Kubernetes workloads, networking, storage, Helm charts, RBAC, and GitOps pipelines. Use for deploying, debugging, and securing clusters.