kubernetes-deployment
Kubernetes deployment workflow for container orchestration, Helm charts, service mesh, and production-ready K8s configurations.
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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/kubernetes-deployment/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How kubernetes-deployment Compares
| Feature / Agent | kubernetes-deployment | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/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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