kubernetes-deployer

Package and deploy applications to Kubernetes with Dockerfiles, Helm charts, and local Minikube deployment. Use when containerizing applications, creating Kubernetes manifests, setting up Helm charts, deploying to Minikube, or preparing cloud-ready configurations. Focuses on local-first deployment with stateless services.

16 stars

Best use case

kubernetes-deployer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Package and deploy applications to Kubernetes with Dockerfiles, Helm charts, and local Minikube deployment. Use when containerizing applications, creating Kubernetes manifests, setting up Helm charts, deploying to Minikube, or preparing cloud-ready configurations. Focuses on local-first deployment with stateless services.

Teams using kubernetes-deployer should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/kubernetes-deployer/SKILL.md --create-dirs "https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/main/skills/devops/kubernetes-deployer/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/kubernetes-deployer/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How kubernetes-deployer Compares

Feature / Agentkubernetes-deployerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Package and deploy applications to Kubernetes with Dockerfiles, Helm charts, and local Minikube deployment. Use when containerizing applications, creating Kubernetes manifests, setting up Helm charts, deploying to Minikube, or preparing cloud-ready configurations. Focuses on local-first deployment with stateless services.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Kubernetes Deployer

Deploy applications to Kubernetes with production-ready configurations, starting locally with Minikube.

## Deployment Workflow

```
1. Dockerfile     → Containerize application
2. Helm Chart     → Package Kubernetes manifests
3. Local Deploy   → Test in Minikube
4. Cloud Ready    → Configure for production
```

## Quick Start: Local Deployment

### 1. Create Dockerfile

```dockerfile
# Python example (see references for other languages)
FROM python:3.11-slim AS builder
WORKDIR /build
COPY pyproject.toml ./
RUN pip install --no-cache-dir .

FROM python:3.11-slim
WORKDIR /app
RUN useradd -m -u 1000 appuser
COPY --from=builder /usr/local/lib/python3.11/site-packages /usr/local/lib/python3.11/site-packages
COPY app ./app
USER appuser
EXPOSE 8000
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]
```

### 2. Copy Helm Chart Template

Copy `assets/helm-template/` to `charts/<app-name>/` and customize:

```bash
cp -r assets/helm-template charts/myapp
# Edit Chart.yaml: name, description
# Edit values.yaml: image, ports, resources
```

### 3. Deploy to Minikube

```bash
# Start Minikube
minikube start

# Build image in Minikube's Docker
eval $(minikube docker-env)
docker build -t myapp:local .

# Deploy with Helm
helm upgrade --install myapp ./charts/myapp \
  --set image.repository=myapp \
  --set image.tag=local \
  --set image.pullPolicy=Never

# Access service
kubectl port-forward svc/myapp 8080:80
```

## Core Principles

1. **Local-first** - Test everything in Minikube before cloud
2. **Stateless services** - No local state; use external databases
3. **Config via env vars** - All configuration through environment
4. **12-factor ready** - Portable between environments

## Helm Chart Structure

```
charts/<app-name>/
├── Chart.yaml        # Metadata
├── values.yaml       # Default config
└── templates/
    ├── _helpers.tpl  # Template functions
    ├── deployment.yaml
    ├── service.yaml
    ├── ingress.yaml  # Optional
    └── hpa.yaml      # Optional
```

## Configuration Patterns

### Environment Variables

```yaml
# values.yaml
env:
  - name: DATABASE_URL
    value: "postgresql://..."
  - name: LOG_LEVEL
    value: "info"

# From secrets
envFrom:
  - secretRef:
      name: app-secrets
```

### Create Secret

```bash
kubectl create secret generic app-secrets \
  --from-literal=DATABASE_PASSWORD=secret123 \
  --from-literal=API_KEY=key456
```

### Health Checks

```yaml
# values.yaml
livenessProbe:
  httpGet:
    path: /health
    port: http
  initialDelaySeconds: 10

readinessProbe:
  httpGet:
    path: /health
    port: http
  initialDelaySeconds: 5
```

## Common Commands

### Minikube

```bash
minikube start                    # Start cluster
minikube dashboard                # Open dashboard
eval $(minikube docker-env)       # Use Minikube Docker
minikube service myapp --url      # Get service URL
```

### Helm

```bash
helm lint ./charts/myapp                    # Validate chart
helm template myapp ./charts/myapp          # Preview manifests
helm upgrade --install myapp ./charts/myapp # Deploy
helm uninstall myapp                        # Remove
```

### Kubectl

```bash
kubectl get pods                  # List pods
kubectl logs <pod>                # View logs
kubectl describe pod <pod>        # Debug pod
kubectl port-forward svc/myapp 8080:80  # Access locally
```

## Environment-Specific Values

```yaml
# values-dev.yaml
replicaCount: 1
resources:
  limits:
    cpu: 200m
    memory: 256Mi

# values-prod.yaml
replicaCount: 3
autoscaling:
  enabled: true
  minReplicas: 3
  maxReplicas: 10
```

Deploy with environment:
```bash
helm upgrade --install myapp ./charts/myapp \
  -f values.yaml \
  -f values-prod.yaml
```

## Troubleshooting

| Issue | Command |
|-------|---------|
| Pod not starting | `kubectl describe pod <name>` |
| Image not found | `minikube ssh docker images` |
| Service unreachable | `kubectl get endpoints` |
| Logs | `kubectl logs <pod> -f` |

## References

- [references/dockerfile-patterns.md](references/dockerfile-patterns.md) - Multi-stage builds, language templates, security
- [references/helm-charts.md](references/helm-charts.md) - Chart structure, templates, values configuration
- [references/minikube-local.md](references/minikube-local.md) - Local images, service access, debugging

## Assets

- [assets/helm-template/](assets/helm-template/) - Ready-to-use Helm chart template

Related Skills

learn-kubernetes-space-station-intermediate

16
from diegosouzapw/awesome-omni-skill

Interactive narrative learning session that teaches Kubernetes through a Space Station adventure at intermediate level. Use this session when you want to learn Kubernetes through immersive story-driven chapters, hands-on exercises, and tasks grounded in real, up-to-date documentation.

kubernetes-troubleshooting

16
from diegosouzapw/awesome-omni-skill

Debug Kubernetes pods, services, networking, and scaling issues. Use this skill when troubleshooting K8s deployments, investigating pod failures, or diagnosing cluster problems.

kubernetes-orchestration

16
from diegosouzapw/awesome-omni-skill

Kubernetes container orchestration. Use when deploying to Kubernetes, writing manifests, configuring Helm charts, or troubleshooting cluster issues.

kubernetes-ops

16
from diegosouzapw/awesome-omni-skill

Kubernetes cluster operations: kubectl commands, manifest generation, Helm charts, RBAC, debugging, and deployment strategies.

kubernetes-operators

16
from diegosouzapw/awesome-omni-skill

Kubernetes infrastructure patterns including operators, Helm, GitOps, and component provisioning.

kubernetes-deployment

16
from diegosouzapw/awesome-omni-skill

Deploy, manage, and scale applications on Kubernetes clusters using manifests, Helm charts, and autoscaling configurations.

kubernetes-architect

16
from diegosouzapw/awesome-omni-skill

Expert Kubernetes architect specializing in cloud-native infrastructure, advanced GitOps workflows (ArgoCD/Flux), and enterprise container orchestration.

Kind Local Kubernetes

16
from diegosouzapw/awesome-omni-skill

This skill should be used when the user asks to "setup Kind", "local Kubernetes", "Kind cluster", "multi-node cluster", "Kubernetes development", "k8s local environment", or works with local Kubernetes clusters using Kind.

featbit-deployment-kubernetes

16
from diegosouzapw/awesome-omni-skill

Deploys FeatBit to Kubernetes using Helm Charts. Use when user mentions "Kubernetes", "Helm", "K8s", "kubectl", works with values.yaml files, asks about "cloud deployment", "AKS", "EKS", "GKE", "ingress", or needs production-grade container orchestration setup.

FastAPI Kubernetes Deployment

16
from diegosouzapw/awesome-omni-skill

This skill should be used when the user asks to "deploy FastAPI to Kubernetes", "create Dockerfile", "build Docker image", "write Helm chart", "configure K8s deployment", "add health checks", "scale FastAPI", or mentions Docker, Kubernetes, K8s, containers, Helm, or deployment. Provides containerization and orchestration patterns.

Docker & Kubernetes

16
from diegosouzapw/awesome-omni-skill

Containerization, orchestration, and deployment with Docker and K8s

Docker & Kubernetes Orchestrator

16
from diegosouzapw/awesome-omni-skill

Expert guidance for Docker containerization and Kubernetes orchestration. Use when containerizing applications, managing multi-container setups with Docker Compose, or deploying to Kubernetes clusters.