Agent Skills

k8s-manifest-generator

devopswshobson10K installs

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.

Install

npx skills add https://github.com/wshobson/agents --skill k8s-manifest-generator
SKILL.md

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

Related skills

azure-diagnosticsmicrosoft608KDebug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, troubleshoot functions, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, aazure-preparemicrosoft608KPrepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azazure-aimicrosoft608KUse for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.azure-deploymicrosoft607KExecute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: \"run azd up\", \"run azd deploy\", \"execute deployment\",

Search skills and MCP servers

Fuzzy search across 23,137 skills and servers