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Kubernetes Specialist

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Streamline your Kubernetes deployment and management tasks.

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Free · Opens the source repo

What Kubernetes Specialist does

The Kubernetes Specialist skill is designed for developers and DevOps engineers who need to efficiently deploy and manage Kubernetes workloads. This skill provides a comprehensive set of tools and workflows that guide users through the complexities of Kubernetes, from creating deployment manifests to configuring networking and storage solutions. With a focus on best practices, this skill emphasizes the importance of security, resource management, and troubleshooting, making it an essential resource for anyone working with Kubernetes.

Users can leverage this skill to analyze workload requirements, design architecture, and implement declarative YAML manifests that adhere to Kubernetes standards. The skill includes detailed reference materials for various topics, such as workloads, networking, configuration, and troubleshooting, allowing users to access the information they need at any stage of their deployment process. Additionally, the skill supports best practices like applying RBAC for security, setting resource limits, and implementing health checks, ensuring that deployments are robust and secure.

Whether you are a seasoned Kubernetes user or new to the platform, the Kubernetes Specialist skill offers valuable insights and tools to enhance your workflow. It is particularly useful for those managing complex applications across multiple clusters or implementing GitOps practices. By following the structured approach provided by this skill, users can ensure that their Kubernetes environments are optimized for performance and security.

When to use it

Use this skill when deploying or managing Kubernetes workloads, configuring networking, or troubleshooting issues.

When not to use it

This skill may not be suitable for users looking for a basic introduction to Kubernetes concepts or those who prefer a purely graphical interface.

What you can build with it

Deploying a New Application

Use this skill to create deployment manifests and configure networking for a new application in your Kubernetes cluster.

Optimizing Resource Usage

Analyze resource limits and apply cost optimization strategies to right-size your workloads for better performance.

Implementing Security Best Practices

Set up RBAC policies and NetworkPolicies to secure your Kubernetes environment and ensure compliance with security standards.

How to install Kubernetes Specialist

View source

1. Install with the skills CLI

npx skills add jeffallan/claude-skills/kubernetes-specialist --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by jeffallan

Kubernetes Specialist

When to Use This Skill

  • Deploying workloads (Deployments, StatefulSets, DaemonSets, Jobs)
  • Configuring networking (Services, Ingress, NetworkPolicies)
  • Managing configuration (ConfigMaps, Secrets, environment variables)
  • Setting up persistent storage (PV, PVC, StorageClasses)
  • Creating Helm charts for application packaging
  • Troubleshooting cluster and workload issues
  • Implementing security best practices

Core Workflow

  1. Analyze requirements — Understand workload characteristics, scaling needs, security requirements
  2. Design architecture — Choose workload types, networking patterns, storage solutions
  3. Implement manifests — Create declarative YAML with proper resource limits, health checks
  4. Secure — Apply RBAC, NetworkPolicies, Pod Security Standards, least privilege
  5. Validate — Run kubectl rollout status, kubectl get pods -w, and kubectl describe pod <name> to confirm health; roll back with kubectl rollout undo if needed

Reference Guide

Load detailed guidance based on context:

TopicReferenceLoad When
Workloadsreferences/workloads.mdDeployments, StatefulSets, DaemonSets, Jobs, CronJobs
Networkingreferences/networking.mdServices, Ingress, NetworkPolicies, DNS
Configurationreferences/configuration.mdConfigMaps, Secrets, environment variables
Storagereferences/storage.mdPV, PVC, StorageClasses, CSI drivers
Helm Chartsreferences/helm-charts.mdChart structure, values, templates, hooks, testing, repositories
Troubleshootingreferences/troubleshooting.mdkubectl debug, logs, events, common issues
Custom Operatorsreferences/custom-operators.mdCRD, Operator SDK, controller-runtime, reconciliation
Service Meshreferences/service-mesh.mdIstio, Linkerd, traffic management, mTLS, canary
GitOpsreferences/gitops.mdArgoCD, Flux, progressive delivery, sealed secrets
Cost Optimizationreferences/cost-optimization.mdVPA, HPA tuning, spot instances, quotas, right-sizing
Multi-Clusterreferences/multi-cluster.mdCluster API, federation, cross-cluster networking, DR

Constraints

MUST DO

  • Use declarative YAML manifests (avoid imperative kubectl commands)
  • Set resource requests and limits on all containers
  • Include liveness and readiness probes
  • Use secrets for sensitive data (never hardcode credentials)
  • Apply least privilege RBAC permissions
  • Implement NetworkPolicies for network segmentation
  • Use namespaces for logical isolation
  • Label resources consistently for organization
  • Document configuration decisions in annotations

MUST NOT DO

  • Deploy to production without resource limits
  • Store secrets in ConfigMaps or as plain environment variables
  • Use default ServiceAccount for application pods
  • Allow unrestricted network access (default allow-all)
  • Run containers as root without justification
  • Skip health checks (liveness/readiness probes)
  • Use latest tag for production images
  • Expose unnecessary ports or services

Common YAML Patterns

Deployment with resource limits, probes, and security context

apiVersion: apps/v1
kind: Deployment
metadata:
  name: my-app
  namespace: my-namespace
  labels:
    app: my-app
    version: "1.2.3"
spec:
  replicas: 3
  selector:
    matchLabels:
      app: my-app
  template:
    metadata:
      labels:
        app: my-app
        version: "1.2.3"
    spec:
      serviceAccountName: my-app-sa   # never use default SA
      securityContext:
        runAsNonRoot: true
        runAsUser: 1000
        fsGroup: 2000
      containers:
        - name: my-app
          image: my-registry/my-app:1.2.3   # never use latest
          ports:
            - containerPort: 8080
          resources:
            requests:
              cpu: "100m"
              memory: "128Mi"
            limits:
              cpu: "500m"
              memory: "512Mi"
          livenessProbe:
            httpGet:
              path: /healthz
              port: 8080
            initialDelaySeconds: 15
            periodSeconds: 20
          readinessProbe:
            httpGet:
              path: /ready
              port: 8080
            initialDelaySeconds: 5
            periodSeconds: 10
          securityContext:
            allowPrivilegeEscalation: false
            readOnlyRootFilesystem: true
            capabilities:
              drop: ["ALL"]
          envFrom:
            - secretRef:
                name: my-app-secret   # pull credentials from Secret, not ConfigMap

Minimal RBAC (least privilege)

apiVersion: v1
kind: ServiceAccount
metadata:
  name: my-app-sa
  namespace: my-namespace
---
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
  name: my-app-role
  namespace: my-namespace
rules:
  - apiGroups: [""]
    resources: ["configmaps"]
    verbs: ["get", "list"]   # grant only what is needed
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  name: my-app-rolebinding
  namespace: my-namespace
subjects:
  - kind: ServiceAccount
    name: my-app-sa
    namespace: my-namespace
roleRef:
  kind: Role
  name: my-app-role
  apiGroup: rbac.authorization.k8s.io

NetworkPolicy (default-deny + explicit allow)

# Deny all ingress and egress by default
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: default-deny-all
  namespace: my-namespace
spec:
  podSelector: {}
  policyTypes: ["Ingress", "Egress"]
---
# Allow only specific traffic
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: allow-my-app
  namespace: my-namespace
spec:
  podSelector:
    matchLabels:
      app: my-app
  policyTypes: ["Ingress"]
  ingress:
    - from:
        - podSelector:
            matchLabels:
              app: frontend
      ports:
        - protocol: TCP
          port: 8080

Validation Commands

After deploying, verify health and security posture:

# Watch rollout complete
kubectl rollout status deployment/my-app -n my-namespace

# Stream pod events to catch crash loops or image pull errors
kubectl get pods -n my-namespace -w

# Inspect a specific pod for failures
kubectl describe pod <pod-name> -n my-namespace

# Check container logs
kubectl logs <pod-name> -n my-namespace --previous   # use --previous for crashed containers

# Verify resource usage vs. limits
kubectl top pods -n my-namespace

# Audit RBAC permissions for a service account
kubectl auth can-i --list --as=system:serviceaccount:my-namespace:my-app-sa

# Roll back a failed deployment
kubectl rollout undo deployment/my-app -n my-namespace

Output Templates

When implementing Kubernetes resources, provide:

  1. Complete YAML manifests with proper structure
  2. RBAC configuration if needed (ServiceAccount, Role, RoleBinding)
  3. NetworkPolicy for network isolation
  4. Brief explanation of design decisions and security considerations

Documentation

Frequently asked questions about Kubernetes Specialist

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