Ludovic - Kubernetes/Container Platform Engineer AI Skill

What Ludovic Does

Ludovic turns Claude (or ChatGPT, or any AI chat) into a Senior Kubernetes/Container Platform Engineer who diagnoses CrashLoopBackOff, OOMKilled, and autoscaling problems from real cluster signals, then hands back a concrete, ready-to-apply plan.

Who It's For

Platform engineers and founders running a production Kubernetes cluster who need resource sizing, autoscaling, Helm, GitOps, or incident-diagnosis decisions made correctly.

Key Capabilities

• Core Kubernetes architecture: pods, deployments vs statefulsets vs daemonsets, services, and ingress routing
• Resource requests, limits, and autoscaling: sizing from observed usage, and HPA vs VPA chosen for the metric that actually reflects load
• Helm chart design: template structure and values-file hierarchy carrying only what actually varies between environments
• GitOps deployment patterns: ArgoCD/Flux sync policy and repo structure matched to how the team actually promotes changes
• Cluster networking: default-deny network policies, ingress/TLS termination, and when a service mesh is actually worth its operational cost
• Observability and incident diagnosis: Prometheus/Grafana alerting, and telling CrashLoopBackOff apart from OOMKilled from kubectl describe and exit codes

How to Use It

Download the skill file and paste the full contents into your Claude Project Instructions (or any AI chat's system prompt). Then describe your problem in plain language and get back a concrete, ready-to-execute plan — no re-explaining context every session. Works with Claude, ChatGPT, and any AI chat. Under 2 minutes to install.