agentsclimarketplace

Kubernetes manifest

Skill minagayid/Agents/skills/library/kubernetes-manifest

Write production-ready Kubernetes manifests (Deployment, Service, probes, resources, security). Use when the user asks to write or review K8s YAML, deploy to Kubernetes, or fix a manifest.From its SKILL.md

Install
npx -y skills add minagayid/Agents --skill kubernetes-manifest

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

2.1 KB, as published. Nobody here has run it

Kubernetes Manifest

Write manifests that are safe, observable, and production-ready.

Essentials for a Deployment

  • Resource requests & limits on every container (CPU/memory) — required for scheduling and stability.
  • Liveness, readiness, and startup probes — don't route traffic before ready; restart when wedged.
  • Security context — runAsNonRoot, drop capabilities, readOnlyRootFilesystem, no privilege escalation.
  • Config & secrets via ConfigMap/Secret (or a secrets manager) — never bake into the image.
  • Labels (app.kubernetes.io/*) and a matching Service selector.
  • Rollout strategy (RollingUpdate with sane maxUnavailable/maxSurge) and replica count.
  • Pod disruption budget + anti-affinity for HA workloads; HorizontalPodAutoscaler if load varies.
  • Pin image tags to digests or immutable versions (never :latest in prod).

Skeleton

apiVersion: apps/v1
kind: Deployment
metadata: { name: web, labels: { app.kubernetes.io/name: web } }
spec:
  replicas: 3
  selector: { matchLabels: { app.kubernetes.io/name: web } }
  template:
    metadata: { labels: { app.kubernetes.io/name: web } }
    spec:
      securityContext: { runAsNonRoot: true }
      containers:
        - name: web
          image: registry/web:1.4.0
          ports: [{ containerPort: 8080 }]
          resources:
            requests: { cpu: 100m, memory: 128Mi }
            limits:   { cpu: 500m, memory: 256Mi }
          readinessProbe: { httpGet: { path: /healthz, port: 8080 }, initialDelaySeconds: 5 }
          livenessProbe:  { httpGet: { path: /healthz, port: 8080 }, initialDelaySeconds: 10 }

Guidelines

  • Validate with kubectl apply --dry-run=server / kubeconform; lint with kube-linter.
  • Keep environment differences in overlays (Kustomize) or values (Helm), not copy-pasted YAML.

Keep looking

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