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k8s-manifest-generator

Generate Kubernetes YAML files that define how applications run, connect, receive configuration, and use persistent storage. Include resource limits, health checks, security settings, labels, and validation guidance for production-oriented deployments.

OriginalShow the original description

Create production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets following best practices and security standards. Use when generating Kubernetes YAML manifests, creating K8s resources, or implementing production-grade Kubernetes configurations.

Works withKubernetes
See how to install

Good for

  • Creating Deployment and Service manifests
  • Separating configuration with ConfigMaps and Secrets
  • Defining persistent storage for applications
  • Reviewing health checks and security settings

Files included (7)

  • SKILL.md3.0 KB
  • assets/configmap-template.yaml6.1 KB
  • assets/deployment-template.yaml5.1 KB
  • assets/service-template.yaml3.6 KB
  • references/deployment-spec.md17.3 KB
  • references/details.md10.6 KB
  • references/service-spec.md13.6 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Kubernetes Manifest Generator

Step-by-step guidance for creating production-ready Kubernetes manifests including Deployments, Services, ConfigMaps, Secrets, and PersistentVolumeClaims.

Purpose

This skill provides comprehensive guidance for generating well-structured, secure, and production-ready Kubernetes manifests following cloud-native best practices and Kubernetes conventions.

When to Use This Skill

Use this skill when you need to:

  • Create new Kubernetes Deployment manifests
  • Define Service resources for network connectivity
  • Generate ConfigMap and Secret resources for configuration management
  • Create PersistentVolumeClaim manifests for stateful workloads
  • Follow Kubernetes best practices and naming conventions
  • Implement resource limits, health checks, and security contexts
  • Design manifests for multi-environment deployments

Detailed patterns and worked examples

Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.

Best Practices Summary

  1. Always set resource requests and limits - Prevents resource starvation
  2. Implement health checks - Ensures Kubernetes can manage your application
  3. Use specific image tags - Avoid unpredictable deployments
  4. Apply security contexts - Run as non-root, drop capabilities
  5. Use ConfigMaps and Secrets - Separate config from code
  6. Label everything - Enables filtering and organization
  7. Follow naming conventions - Use standard Kubernetes labels
  8. Validate before applying - Use dry-run and validation tools
  9. Version your manifests - Keep in Git with version control
  10. Document with annotations - Add context for other developers

Troubleshooting

Pods not starting:

  • Check image pull errors: kubectl describe pod <pod-name>
  • Verify resource availability: kubectl get nodes
  • Check events: kubectl get events --sort-by='.lastTimestamp'

Service not accessible:

  • Verify selector matches pod labels: kubectl get endpoints <service-name>
  • Check service type and port configuration
  • Test from within cluster: kubectl run debug --rm -it --image=busybox -- sh

ConfigMap/Secret not loading:

  • Verify names match in Deployment
  • Check namespace
  • Ensure resources exist: kubectl get configmap,secret

Next Steps

After creating manifests:

  1. Store in Git repository
  2. Set up CI/CD pipeline for deployment
  3. Consider using Helm or Kustomize for templating
  4. Implement GitOps with ArgoCD or Flux
  5. Add monitoring and observability

Related Skills

  • helm-chart-scaffolding - For templating and packaging
  • gitops-workflow - For automated deployments
  • k8s-security-policies - For advanced security configurations

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