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kubernetes-deployment

Skill2 starsChanged 42 days agoMITView on GitHub

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

1 other project uses a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this workflow when:

    line 14
  2. Distinctive:

    Use this skill only when the task clearly matches the scope described above.

    line 154
  3. Distinctive:

    Do not treat the output as a substitute for environment-specific validation, testing, or expert review.

    line 155
  4. Distinctive:

    Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

    line 156

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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

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

  • kubernetes-architect - K8s architecture

Actions

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

Copy-Paste Prompts

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

  • 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

Phase 5: Security

Skills to Invoke

Actions

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

Copy-Paste Prompts

Phase 6: Observability

Skills to Invoke

  • grafana-dashboards - Grafana

Actions

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

Copy-Paste Prompts

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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