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k8s-generator
Generate production-ready Kubernetes manifests with Deployments, Services, ConfigMaps, and Ingress
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Generate production-ready Kubernetes manifests with Deployments, Services, ConfigMaps, and Ingress
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
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Automated deployment orchestration with rollback, blue-green, and canary deployment strategies
Manage development environments, configurations, and secrets across local, staging, and production
Technical documentation specialist - create docs, API references, user guides for technical and non-technical audiences
Backend architecture agent for API design, database schema, and microservices
Data engineering agent for ETL pipelines, data warehousing, and analytics
| name | k8s-generator |
| description | Generate production-ready Kubernetes manifests with Deployments, Services, ConfigMaps, and Ingress |
| allowed-tools | ["Read","Write","Glob","Grep"] |
| version | 1.0.0 |
| author | GLINCKER Team |
| license | Apache-2.0 |
| keywords | ["kubernetes","k8s","deployment","devops","cloud-native"] |
Generate complete Kubernetes manifests by analyzing your application. Creates Deployments, Services, ConfigMaps, Secrets, Ingress, and HPA with production best practices.
Analyze the application to determine requirements:
# Detect application type
Use Glob/Grep to find:
- Dockerfile → Container config
- .env → Environment variables
- Port bindings
- Volume requirements
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:latest
ports:
- containerPort: 3000
resources:
requests:
memory: "128Mi"
cpu: "100m"
limits:
memory: "256Mi"
cpu: "200m"
livenessProbe:
httpGet:
path: /health
port: 3000
initialDelaySeconds: 30
periodSeconds: 10
readinessProbe:
httpGet:
path: /ready
port: 3000
initialDelaySeconds: 5
periodSeconds: 5
envFrom:
- configMapRef:
name: myapp-config
- secretRef:
name: myapp-secrets
Service:
apiVersion: v1
kind: Service
metadata:
name: myapp
spec:
selector:
app: myapp
ports:
- protocol: TCP
port: 80
targetPort: 3000
type: ClusterIP
ConfigMap:
apiVersion: v1
kind: ConfigMap
metadata:
name: myapp-config
data:
NODE_ENV: production
LOG_LEVEL: info
API_URL: https://api.example.com
HPA (Horizontal Pod Autoscaler):
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: myapp-hpa
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: myapp
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
Ingress:
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: myapp-ingress
annotations:
cert-manager.io/cluster-issuer: letsencrypt-prod
nginx.ingress.kubernetes.io/ssl-redirect: "true"
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
Generate manifests for dev/staging/prod with Kustomize:
# base/kustomization.yaml
resources:
- deployment.yaml
- service.yaml
- configmap.yaml
# overlays/production/kustomization.yaml
bases:
- ../../base
replicas:
- name: myapp
count: 5
images:
- name: myapp
newTag: v1.2.3
For stateful applications:
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:16
volumeMounts:
- name: data
mountPath: /var/lib/postgresql/data
volumeClaimTemplates:
- metadata:
name: data
spec:
accessModes: [ "ReadWriteOnce" ]
resources:
requests:
storage: 10Gi
User: "Generate K8s manifests for my Node.js app"
Output:
User: "Create K8s setup for microservices architecture"
Output:
GLINCKER Team