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Apply Kubernetes and Kustomize patterns for deployments, services, and overlays. Use when writing or reviewing k8s manifests.
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基于 SOC 职业分类
Manage GitHub Projects v2 board: add issues, update field values, and query board state. Use when managing project boards.
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Generate a complete component file tree wired to design tokens with tests and Gherkin spec. Use when scaffolding a new UI component.
Extract Gherkin scenarios from story markdown files into runnable .feature files and generate step definition stubs. Use when syncing stories to test suites.
Read and write design tokens in W3C DTCG format (tokens.json) and emit CSS, Tailwind, and Mantine outputs. Use when modifying or generating design tokens.
Apply Docker and Docker Compose best practices for containerising services. Use when writing or reviewing Dockerfiles and compose configs.
| name | kubernetes-patterns |
| description | Apply Kubernetes and Kustomize patterns for deployments, services, and overlays. Use when writing or reviewing k8s manifests. |
infra/k8s/
├── base/
│ ├── deployment.yaml
│ ├── service.yaml
│ ├── configmap.yaml
│ └── kustomization.yaml
└── overlays/
├── dev/
│ ├── kustomization.yaml
│ └── patches/
├── staging/
│ ├── kustomization.yaml
│ └── patches/
└── prod/
├── kustomization.yaml
└── patches/
apiVersion: apps/v1
kind: Deployment
metadata:
name: {app-name}
labels:
app: {app-name}
spec:
replicas: 2
selector:
matchLabels:
app: {app-name}
template:
metadata:
labels:
app: {app-name}
spec:
securityContext:
runAsNonRoot: true
runAsUser: 1001
containers:
- name: {app-name}
image: {image}:{tag}
resources:
requests:
memory: "128Mi"
cpu: "100m"
limits:
memory: "256Mi"
cpu: "500m"
readinessProbe:
httpGet:
path: /health
port: 3000
initialDelaySeconds: 5
periodSeconds: 10
livenessProbe:
httpGet:
path: /health
port: 3000
initialDelaySeconds: 15
periodSeconds: 20
startupProbe:
httpGet:
path: /health
port: 3000
failureThreshold: 30
periodSeconds: 10
apiVersion: policy/v1
kind: PodDisruptionBudget
metadata:
name: {app-name}-pdb
spec:
minAvailable: 1
selector:
matchLabels:
app: {app-name}
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: {app-name}-hpa
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: {app-name}
minReplicas: 2
maxReplicas: 10
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 70
# Always validate before applying
kubectl apply --dry-run=client -f {manifest}
kustomize build overlays/dev | kubectl apply --dry-run=client -f -
helm template {release} {chart} | kubectl apply --dry-run=client -f -