Back to Agent Skills
DevOps & Infrastructure
Kubernetes Deployment
Generate and manage Kubernetes manifests, troubleshoot pod issues, and orchestrate container deployments with AI assistance.
Claude Code Codex Cursor
Overview
Kubernetes is the industry standard for container orchestration, but its configuration can be complex. AI agents can generate deployment manifests, services, ingress configurations, and help troubleshoot common issues like CrashLoopBackOff, image pull errors, and resource limit misconfiguration.
When integrated with AI coding agents, Kubernetes management becomes conversational. You can describe your deployment requirements in plain English: "deploy this Node.js app with 3 replicas, a postgres database, and expose it via an ingress with TLS." The agent generates all the necessary YAML manifests, including deployments, services, configmaps, and secrets.
Troubleshooting is where AI agents provide the most value. When pods fail to start or services are not reachable, the agent can run kubectl commands, analyze logs, check events, and pinpoint the exact issue, saving hours of debugging Kubernetes configurations.
When integrated with AI coding agents, Kubernetes management becomes conversational. You can describe your deployment requirements in plain English: "deploy this Node.js app with 3 replicas, a postgres database, and expose it via an ingress with TLS." The agent generates all the necessary YAML manifests, including deployments, services, configmaps, and secrets.
Troubleshooting is where AI agents provide the most value. When pods fail to start or services are not reachable, the agent can run kubectl commands, analyze logs, check events, and pinpoint the exact issue, saving hours of debugging Kubernetes configurations.
Who Is This For?
- DevOps engineers generating Kubernetes manifests from deployment requirements
- Developers troubleshooting pod failures and service connectivity issues
- Teams migrating from Docker Compose to Kubernetes with AI guidance
- Platform engineers creating Helm charts and Kustomize overlays
Installation
Setup for Claude Code
Install kubectl: brew install kubectl
Claude Code runs kubectl commands directly via bash Configuration
# deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: my-app
spec:
replicas: 3
selector:
matchLabels:
app: my-app
template:
spec:
containers:
- name: app
image: my-app:latest
ports:
- containerPort: 3000 Related Skills
DevOps & Infrastructure
Terraform MCP Server
Plan, apply, and manage infrastructure as code directly from your AI agent using the Terraform MCP server integration.
Claude Code Cursor
DevOps & Infrastructure GitHub Actions Workflows
Create, debug, and optimize CI/CD pipelines with GitHub Actions. AI agents can diagnose failing workflows and suggest fixes.
Claude Code Codex Copilot
DevOps & Infrastructure AWS CDK Constructs
Define cloud infrastructure using familiar programming languages with the AWS CDK. AI agents can scaffold stacks and resolve deployment errors.
Claude Code Codex Copilot