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Kubernetes

Deploy, scale, and manage containerized applications with Kubernetes orchestration.

What is Kubernetes?

Kubernetes is one of 70 specialized agent skills built into the Multos AI platform. When you describe a task related to devops, this skill activates automatically — bringing domain-specific knowledge about kubernetes deployment, k8s, container orchestration directly into your development workflow.

Generates production manifests: Deployments with resource requests/limits, HPA autoscaling, Services, Ingress with TLS, ConfigMaps/Secrets, and NetworkPolicies. Handles Helm charts, Kustomize overlays, health probes (liveness/readiness/startup), sidecars, and pod disruption budgets.

Key Capabilities

  • Generates complete, working implementations for kubernetes deployment with proper error handling and edge cases
  • Understands best practices and security patterns specific to devops development
  • Provides step-by-step guidance from setup through production deployment
  • Adapts to your existing codebase — works with any framework, language, or architecture
  • Generates tests alongside implementation code to ensure reliability
  • Specialized knowledge of k8s patterns, common pitfalls, and optimization techniques

How to Use Kubernetes on Multos AI

Example Prompts

  • "Create K8s manifests with health checks and autoscaling"
  • "Build a Helm chart with values for dev/staging/prod"
  • "Set up network policies to isolate services"

Example Output

apiVersion: apps/v1
kind: Deployment
spec:
  replicas: 3
  strategy:
    rollingUpdate: { maxSurge: 1, maxUnavailable: 0 }
  template:
    spec:
      containers:
      - name: api
        resources:
          requests: { cpu: 250m, memory: 512Mi }
          limits: { cpu: '1', memory: 1Gi }
        livenessProbe:
          httpGet: { path: /health, port: 8080 }
        readinessProbe:
          httpGet: { path: /ready, port: 8080 }

Real-World Use Case

A team moving from EC2 to EKS generated Helm charts, HPA configs, network policies, and a GitOps workflow with ArgoCD — including a zero-downtime migration runbook from EC2 to Kubernetes.

Frequently Asked Questions

What is the Kubernetes skill in Multos AI?

The Kubernetes skill is a specialized AI capability within Multos AI that deploy, scale, and manage containerized applications with kubernetes orchestration. It activates automatically when your prompt relates to devops tasks, providing expert-level guidance and production-ready code.

Do I need to configure Kubernetes manually?

No. Multos AI uses intent detection to activate the Kubernetes skill automatically when your request involves kubernetes deployment. There's no setup, no plugins to install, and no configuration files to manage.

Which AI models work best with Kubernetes?

All 33 models on Multos AI can leverage the Kubernetes skill. For complex devops tasks, we recommend models with larger context windows like Claude Opus 4.6 (1M tokens) or Gemini 3.1 Pro (1M tokens). For quick iterations, faster models like GPT-5.4 Mini or Claude Haiku 4.5 work well.

Can I use Kubernetes with my existing project?

Yes. You can connect your GitHub, GitLab, or Bitbucket repository to Multos AI and the Kubernetes skill will work with your existing codebase. It understands your project structure, dependencies, and coding patterns to provide contextual assistance.

Is Kubernetes available on the free plan?

Yes, all 70 agent skills including Kubernetes are available on every plan. Free users get access to lite-tier models, while paid plans unlock more powerful models for complex devops tasks.

Related DevOps Skills

Build with Kubernetes on Multos AI

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