What are the prerequisites for using the Kubernetes Debugger skill?

You need the Kubernetes MCP server installed, a valid kubeconfig file, and active access to a cluster (such as GKE, EKS, AKS, or local environments like minikube).

How does this skill help with Kubernetes troubleshooting?

It provides systematic decision trees and workflows for diagnosing common cluster issues like failing pods, stuck deployments, and networking errors using MCP-integrated kubectl commands.

Does this skill support network debugging?

Absolutely. It includes specific steps to verify service endpoints, test DNS resolution within the cluster, and check connectivity between individual pods.

Can it help fix CrashLoopBackOff errors?

Yes, it automates the process of checking previous container logs, describing pod events, and inspecting exit codes to pinpoint why a container is repeatedly crashing.

Can I manage cluster nodes with this skill?

Yes, it provides tools for node management, allowing you to view node conditions, cordon nodes to prevent new workloads, and drain pods for maintenance.

Kubernetes Debugger

Name: Kubernetes Debugger
Author: rodrigodelmonte

byrodrigodelmonte

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Deployment & DevOps

Diagnoses and resolves Kubernetes cluster issues using systematic workflows and MCP-powered kubectl tools.

About

The Kubernetes Debugger skill empowers Claude to systematically troubleshoot complex cluster environments by providing structured workflows for diagnosing failing pods, unreachable services, and unhealthy nodes. It leverages MCP tools to perform deep-dive inspections, including log analysis, event tracking, and container execution, helping developers quickly identify the root causes of common issues like CrashLoopBackOff, ImagePullBackOff, OOMKilled errors, and network misconfigurations. Whether managing a single deployment or an entire node pool, this skill provides the decision-making logic needed to restore cluster health efficiently.

Key Features

Comprehensive pod diagnostics for CrashLoopBackOff, Pending, and ImagePullBackOff states
Deployment rollout monitoring with automated rollback capabilities
2 GitHub stars
Node-level health assessment and maintenance tools like cordon and drain
Service and network connectivity verification with DNS and endpoint checks
Detailed container log analysis including previous-run logs for crashed instances

Use Cases

Identifying the root cause of application crashes and scheduling failures in production
Debugging service-to-service communication issues and internal cluster DNS resolution
Investigating resource bottlenecks, CPU throttling, and memory-related container terminations

About

Key Features

Comprehensive pod diagnostics for CrashLoopBackOff, Pending, and ImagePullBackOff states
Deployment rollout monitoring with automated rollback capabilities
2 GitHub stars
Node-level health assessment and maintenance tools like cordon and drain
Service and network connectivity verification with DNS and endpoint checks
Detailed container log analysis including previous-run logs for crashed instances

Use Cases

Identifying the root cause of application crashes and scheduling failures in production
Debugging service-to-service communication issues and internal cluster DNS resolution
Investigating resource bottlenecks, CPU throttling, and memory-related container terminations