google-agents-cli-scaffold
Project scaffolding, deployment configuration, and CI/CD setup for Google ADK agents.
kubernetes-helm-deployment
Kubernetes deployment patterns with Helm charts. Covers deployments, services, ConfigMaps, Secrets, Dapr sidecar injection, health probes, and resource management.
Full skill instructions
Kubernetes deployment patterns using Helm charts for containerized applications.
# Helm 3.x
curl https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3 | bash
# kubectl
# See: https://kubernetes.io/docs/tasks/tools/
todo-app/
├── Chart.yaml # Chart metadata
├── values.yaml # Default values
├── values-minikube.yaml # Minikube-specific values
├── values-oke.yaml # OKE-specific values
└── templates/
├── deployment.yaml
├── service.yaml
├── configmap.yaml
└── ingress.yaml
apiVersion: v2
name: todo-app
description: Todo Chatbot Application
type: application
version: 1.0.0
appVersion: "1.0.0"
apiVersion: apps/v1
kind: Deployment
metadata:
name: {{ .Values.backend.name }}
labels:
app: {{ .Values.backend.name }}
spec:
replicas: {{ .Values.backend.replicas }}
selector:
matchLabels:
app: {{ .Values.backend.name }}
template:
metadata:
labels:
app: {{ .Values.backend.name }}
annotations:
dapr.io/enabled: "true"
dapr.io/app-id: "{{ .Values.backend.name }}"
dapr.io/app-port: "{{ .Values.backend.port }}"
dapr.io/config: "dapr-config"
spec:
containers:
- name: {{ .Values.backend.name }}
image: {{ .Values.backend.image.repository }}:{{ .Values.backend.image.tag }}
ports:
- containerPort: {{ .Values.backend.port }}
env:
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: database-secrets
key: url
- name: DAPR_HTTP_PORT
value: "3500"
resources:
requests:
cpu: {{ .Values.backend.resources.requests.cpu }}
memory: {{ .Values.backend.resources.requests.memory }}
limits:
cpu: {{ .Values.backend.resources.limits.cpu }}
memory: {{ .Values.backend.resources.limits.memory }}
livenessProbe:
httpGet:
path: /health/live
port: {{ .Values.backend.port }}
initialDelaySeconds: 30
periodSeconds: 10
readinessProbe:
httpGet:
path: /health/ready
port: {{ .Values.backend.port }}
initialDelaySeconds: 5
periodSeconds: 5
apiVersion: v1
kind: Service
metadata:
name: {{ .Values.backend.name }}
labels:
app: {{ .Values.backend.name }}
spec:
type: {{ .Values.backend.service.type }}
ports:
- port: {{ .Values.backend.service.port }}
targetPort: {{ .Values.backend.port }}
protocol: TCP
selector:
app: {{ .Values.backend.name }}
annotations:
dapr.io/enabled: "true"
dapr.io/app-id: "backend"
dapr.io/app-port: "8000"
dapr.io/config: "dapr-config"
dapr.io/log-level: "info"
dapr.io/log-as-json: "true"
apiVersion: dapr.io/v1alpha1
kind: Configuration
metadata:
name: dapr-config
namespace: default
spec:
tracing:
samplingRate: "1.0"
zipkin:
endpointAddress: "http://zipkin:9411/api/v2/spans"
metrics:
enabled: true
backend:
name: backend
replicas: 2
port: 8000
image:
repository: todo-backend
tag: latest
service:
type: ClusterIP
port: 8000
resources:
requests:
cpu: "100m"
memory: "256Mi"
limits:
cpu: "500m"
memory: "512Mi"
frontend:
name: frontend
replicas: 2
port: 3000
image:
repository: todo-frontend
tag: latest
service:
type: ClusterIP
port: 3000
backend:
service:
type: NodePort
resources:
requests:
cpu: "50m"
memory: "128Mi"
limits:
cpu: "200m"
memory: "256Mi"
frontend:
service:
type: NodePort
backend:
service:
type: LoadBalancer
resources:
requests:
cpu: "200m"
memory: "512Mi"
limits:
cpu: "1000m"
memory: "1Gi"
frontend:
service:
type: LoadBalancer
apiVersion: v1
kind: ConfigMap
metadata:
name: {{ .Values.app.name }}-config
data:
app.env: "production"
log.level: "info"
kafka.brokers: "{{ .Values.kafka.brokers }}"
apiVersion: v1
kind: Secret
metadata:
name: database-secrets
type: Opaque
stringData:
url: "postgresql://user:password@host:5432/db"
password: "secret-password"
# Reference Dapr secret store
env:
- name: DATABASE_PASSWORD
value: "dapr-secret-store:database-secrets:password"
apiVersion: apps/v1
kind: Deployment
metadata:
name: recurring-task-service
spec:
replicas: 2
template:
metadata:
annotations:
dapr.io/enabled: "true"
dapr.io/app-id: "recurring-task-service"
dapr.io/app-port: "8001"
spec:
containers:
- name: recurring-task-service
image: recurring-task-service:latest
ports:
- containerPort: 8001
env:
- name: DAPR_HTTP_PORT
value: "3500"
apiVersion: apps/v1
kind: Deployment
metadata:
name: notification-service
spec:
replicas: 2
template:
metadata:
annotations:
dapr.io/enabled: "true"
dapr.io/app-id: "notification-service"
dapr.io/app-port: "8002"
spec:
containers:
- name: notification-service
image: notification-service:latest
ports:
- containerPort: 8002
livenessProbe:
httpGet:
path: /health/live
port: 8000
initialDelaySeconds: 30
periodSeconds: 10
timeoutSeconds: 5
failureThreshold: 3
readinessProbe:
httpGet:
path: /health/ready
port: 8000
initialDelaySeconds: 5
periodSeconds: 5
timeoutSeconds: 3
failureThreshold: 3
resources:
requests:
cpu: "100m" # Minimum CPU
memory: "256Mi" # Minimum memory
limits:
cpu: "500m" # Maximum CPU
memory: "512Mi" # Maximum memory
# OKE always-free tier constraints
resources:
requests:
cpu: "200m"
memory: "512Mi"
limits:
cpu: "2000m" # 2 OCPUs max
memory: "2Gi" # 24GB total / 12 pods
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: backend-network-policy
spec:
podSelector:
matchLabels:
app: backend
policyTypes:
- Ingress
- Egress
ingress:
- from:
- podSelector:
matchLabels:
app: frontend
ports:
- protocol: TCP
port: 8000
egress:
- to:
- podSelector:
matchLabels:
app: dapr-sidecar
ports:
- protocol: TCP
port: 3500
- to:
- namespaceSelector:
matchLabels:
name: postgresql
ports:
- protocol: TCP
port: 5432
# Install with default values
helm install todo-app ./helm/todo-app
# Install with custom values
helm install todo-app ./helm/todo-app -f values-oke.yaml
# Install with overrides
helm install todo-app ./helm/todo-app \
--set backend.replicas=3 \
--set frontend.image.tag=v1.0.0
# Upgrade deployment
helm upgrade todo-app ./helm/todo-app -f values-oke.yaml
# Rollback on failure
helm rollback todo-app
helm uninstall todo-app
# Development
helm install todo-app ./helm/todo-app -f values-minikube.yaml
# Production
helm install todo-app ./helm/todo-app -f values-oke.yaml
resources:
limits:
cpu: "500m"
memory: "512Mi"
annotations:
dapr.io/enabled: "true"
dapr.io/app-id: "backend"
Always include liveness and readiness probes:
livenessProbe:
httpGet:
path: /health/live
port: 8000
readinessProbe:
httpGet:
path: /health/ready
port: 8000
Project scaffolding, deployment configuration, and CI/CD setup for Google ADK agents.
Set up tracing, logging, and monitoring for deployed ADK agents across Cloud Trace, BigQuery, and third-party platforms.
Enterprise Azure infrastructure architect generating Bicep or Terraform from workload descriptions.
Plan and configure production-ready Azure Kubernetes Service clusters with Day-0 and Day-1 best practices.
Raw mechanical interfaces fusing Swiss typographic print with military terminal aesthetics. Rigid grids, extreme type scale contrast, utilitarian color, analog degradation effects. For data-heavy dashboards, portfolios, or editorial sites that need to feel like declassified blueprints.
Web search, scraping, extraction, crawling, and monitoring via ScrapeGraph AI CLI.
Skill for working with Firebase Hosting (Classic). Use this when you want to deploy static web apps, Single Page Apps (SPAs), or simple microservices. Do NOT use for Firebase App Hosting.
Deploy and manage web apps with Firebase App Hosting. Use this skill when deploying Next.js/Angular apps with backends.
Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".
Build SEO-optimized pages at scale using templates, data, and proven playbook patterns.
Design and build isolated, reusable Convex backend components with clear boundaries and app-facing wrappers.
Deploy and manage projects on Vercel using token-based authentication. Use when working with Vercel CLI using access tokens rather than interactive login — e.g. "deploy to vercel", "set up vercel", "add environment variables to vercel".
Opus.ai: Revolutionize Your Web Experience
Build a no-code AI app in minutes.
An IDE for code migration from legacy to modern frameworks through coding agents.
Automate CGI animation in live-action scenes
Branded artistic QR-code concepts
Launch a website in seconds with AI.
Streamline Your Coding Experience with AI Code Helper
Convert any screenshot or design to clean code.