kubernetes-deployment

Kubernetes deployment workflow for container orchestration, Helm charts, service mesh, and production-ready K8s configurations.

38 stars

Best use case

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

Kubernetes deployment workflow for container orchestration, Helm charts, service mesh, and production-ready K8s configurations.

Teams using kubernetes-deployment 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-deployment/SKILL.md --create-dirs "https://raw.githubusercontent.com/lingxling/awesome-skills-cn/main/antigravity-awesome-skills/plugins/antigravity-awesome-skills-claude/skills/kubernetes-deployment/SKILL.md"

Manual Installation

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

How kubernetes-deployment Compares

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

Frequently Asked Questions

What does this skill do?

Kubernetes deployment workflow for container orchestration, Helm charts, service mesh, and production-ready K8s configurations.

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 Deployment Workflow

## Overview

Specialized workflow for deploying applications to Kubernetes including container orchestration, Helm charts, service mesh configuration, and production-ready K8s patterns.

## When to Use This Workflow

Use this workflow when:
- Deploying to Kubernetes
- Creating Helm charts
- Configuring service mesh
- Setting up K8s networking
- Implementing K8s security

## Workflow Phases

### Phase 1: Container Preparation

#### Skills to Invoke
- `docker-expert` - Docker containerization
- `k8s-manifest-generator` - K8s manifests

#### Actions
1. Create Dockerfile
2. Build container image
3. Optimize image size
4. Push to registry
5. Test container

#### Copy-Paste Prompts
```
Use @docker-expert to containerize application for K8s
```

### Phase 2: K8s Manifests

#### Skills to Invoke
- `k8s-manifest-generator` - Manifest generation
- `kubernetes-architect` - K8s architecture

#### Actions
1. Create Deployment
2. Configure Service
3. Set up ConfigMap
4. Create Secrets
5. Add Ingress

#### Copy-Paste Prompts
```
Use @k8s-manifest-generator to create K8s manifests
```

### Phase 3: Helm Chart

#### Skills to Invoke
- `helm-chart-scaffolding` - Helm charts

#### Actions
1. Create chart structure
2. Define values.yaml
3. Add templates
4. Configure dependencies
5. Test chart

#### Copy-Paste Prompts
```
Use @helm-chart-scaffolding to create Helm chart
```

### Phase 4: Service Mesh

#### Skills to Invoke
- `istio-traffic-management` - Istio
- `linkerd-patterns` - Linkerd
- `service-mesh-expert` - Service mesh

#### Actions
1. Choose service mesh
2. Install mesh
3. Configure traffic management
4. Set up mTLS
5. Add observability

#### Copy-Paste Prompts
```
Use @istio-traffic-management to configure Istio
```

### Phase 5: Security

#### Skills to Invoke
- `k8s-security-policies` - K8s security
- `mtls-configuration` - mTLS

#### Actions
1. Configure RBAC
2. Set up NetworkPolicy
3. Enable PodSecurity
4. Configure secrets
5. Implement mTLS

#### Copy-Paste Prompts
```
Use @k8s-security-policies to secure Kubernetes cluster
```

### Phase 6: Observability

#### Skills to Invoke
- `grafana-dashboards` - Grafana
- `prometheus-configuration` - Prometheus

#### Actions
1. Install monitoring stack
2. Configure Prometheus
3. Create Grafana dashboards
4. Set up alerts
5. Add distributed tracing

#### Copy-Paste Prompts
```
Use @prometheus-configuration to set up K8s monitoring
```

### Phase 7: Deployment

#### Skills to Invoke
- `deployment-engineer` - Deployment
- `gitops-workflow` - GitOps

#### Actions
1. Configure CI/CD
2. Set up GitOps
3. Deploy to cluster
4. Verify deployment
5. Monitor rollout

#### Copy-Paste Prompts
```
Use @gitops-workflow to implement GitOps deployment
```

## Quality Gates

- [ ] Containers working
- [ ] Manifests valid
- [ ] Helm chart installs
- [ ] Security configured
- [ ] Monitoring active
- [ ] Deployment successful

## Related Workflow Bundles

- `cloud-devops` - Cloud/DevOps
- `terraform-infrastructure` - Infrastructure
- `docker-containerization` - Containers

## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

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