Kubernetes Operator
SkillCloud & infraInspect pods, logs, services, ingress, and deployments with kubectl. Use for cluster debugging and safe read-mostly operations.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Kubernetes Operator skill
What this skill tells your AI
The instructions your AI receives, as published by navinspire-ia/navin in navin/skills/kubernetes-operator/SKILL.md and read by ahel’s review.
Overview
Debug Kubernetes with read-first habits. Mutating prod requires approval.
Common commands
kubectl config current-context
kubectl get pods -A
kubectl describe pod <name> -n <ns>
kubectl logs <pod> -n <ns> --tail=200
kubectl get svc,ingress -n <ns>
kubectl get events -n <ns> --sort-by=.lastTimestamp
Workflow
- Confirm context/namespace (never assume prod).
- Locate unhealthy resources (CrashLoop, Pending, ImagePull).
- Correlate describe + logs + events.
- Propose a fix; apply only with approval on shared clusters.
Rules
kubectl delete, scale-to-zero, and apply on prod →human-approval.- Prefer dry-run:
kubectl apply --dry-run=client -o yaml.
Signals
- GitHub stars
- 22
- Forks
- 4
- Last commit
- Sep 2026
ahel review
S4info
community integration, published by navinspire-ia, not kubernetes
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Catalog kind
- skill
- Gateway key
kubernetes-operator-navinspire-ia- Source
- github.com/navinspire-ia/navin