k8s-ops

Manage Kubernetes cluster resources via kubectl across AWS EKS, GCP GKE, and Azure AKS.

42|7|Updated Apr 17, 2026
One-click install
npx skills add https://github.com/addxai/enterprise-harness-engineering --skill k8s-ops-addxai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: k8s-ops
Source: https://github.com/addxai/enterprise-harness-engineering/tree/main/skills/k8s-ops
Command: npx skills add https://github.com/addxai/enterprise-harness-engineering --skill k8s-ops-addxai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Operations engineers often struggle with manually managing Kubernetes resources across multiple cloud-hosted clusters, facing risks of human error, inconsistent workflows, and accidental production outages when switching between different cluster contexts.

Core Features & Use Cases

  • Multi-cluster resource management: View status of Pods, Deployments, Services, Nodes and other K8s resources across AWS EKS, GCP GKE, and Azure AKS clusters without modifying global kubectl context.
  • Troubleshooting support: Check pod logs, events, exec into containers, and set up port-forwards to quickly diagnose issues like CrashLoopBackOff or network connectivity problems.
  • Safe change operations: Perform scaling, rollout restarts, configuration applies, and other modifications with mandatory user confirmation to prevent unintended changes to production environments.
  • Use case example: If your team's payment service on the production EKS cluster is experiencing downtime, you can use this skill to check pod status, view error logs, and safely restart the deployment after confirming the operation with your team.

Quick Start

Use the k8s-ops skill to check the status of all pods in the staging cluster's default namespace and view the last 100 lines of logs for the pod named api-gateway that is in a CrashLoopBackOff state.

Frequently Asked Questions about k8s-ops

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I troubleshoot Kubernetes pods in CrashLoopBackOff across EKS, GKE, and AKS clusters?

Troubleshoot Kubernetes CrashLoopBackOff pods by checking pod status, viewing error logs, and inspecting events across EKS, GKE, and AKS clusters. You can safely diagnose issues without modifying your global kubectl context or risking unintended production changes.

Can I scale deployments and rollout restart workloads on a production EKS cluster safely?

You can scale deployments and rollout restart workloads on production EKS clusters, but the skill enforces mandatory user confirmation for all change operations. This safety guardrail prevents unintended modifications to your production environments.

What is the best way to manage multi-cluster Kubernetes resources without changing kubectl context?

Manage multi-cluster Kubernetes resources without changing kubectl context by using context-specific cluster targeting. View the status of Pods, Deployments, and Services across AWS EKS, GCP GKE, and Azure AKS clusters while avoiding global state modifications.

How do I exec into containers and set up port-forwarding for network connectivity issues?

Exec into containers and set up port-forwarding to diagnose network connectivity issues directly. Access container shells and forward local ports to services across your managed Kubernetes clusters for rapid troubleshooting.

Does applying Kubernetes configuration changes require manual approval for every operation?

Applying Kubernetes configuration changes requires manual confirmation for every operation. This mandatory approval workflow applies to all modifications including scaling, rollout restarts, and configuration applies to prevent accidental changes.

Why are high-risk actions prohibited on production Kubernetes clusters during workload operations?

High-risk actions are prohibited on production Kubernetes clusters during workload operations to prevent accidental production outages. The skill enforces safety guardrails that restrict dangerous modifications in production environments.