Does this skill require external scripts?

Yes, it utilizes specific Python and shell scripts (like pod_diagnostics.py and cluster_health.sh) included in the plugin to automate diagnostic data collection.

Can I use this for network-specific troubleshooting?

Yes, it includes specialized network diagnostic patterns for analyzing DNS resolution, service endpoints, and network policies.

Does it support modern Kubernetes debugging features?

Yes, it provides guidance for advanced techniques like using ephemeral debug containers (introduced in K8s 1.23) and port-forwarding.

What specific Kubernetes errors can this skill help solve?

It provides systematic workflows for CrashLoopBackOff, ImagePullBackOff, OOMKilled, Pending pods, and Service/DNS connectivity issues.

How does it help with resource monitoring?

The skill provides patterns for identifying resource pressure, checking node taints, and analyzing container resource limits versus actual usage.

Kubernetes Debugging Toolkit

Name: Kubernetes Debugging Toolkit
Author: akin-ozer

byakin-ozer

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Deployment & DevOps

Diagnoses and resolves Kubernetes cluster issues, pod failures, and network connectivity problems using automated scripts and systematic workflows.

This skill provides a comprehensive suite of diagnostic tools and structured workflows for troubleshooting complex Kubernetes environments. It enables users to rapidly identify root causes across application, pod, service, and node layers through specialized scripts for cluster health checks, pod-level diagnostics, and network analysis. Whether resolving CrashLoopBackOff errors, investigating resource exhaustion, or fixing ingress failures, this skill streamlines the debugging process by gathering relevant logs, events, and metrics to provide actionable insights for cluster maintenance.

Key Features

01Step-by-step guides for common errors like OOMKilled and ImagePullBackOff

02Specialized network and DNS connectivity troubleshooting workflows

03Automated pod-level diagnostics including logs, events, and YAML analysis

04Resource monitoring patterns for CPU, memory, and storage utilization

05Comprehensive cluster health checks for nodes and control plane components

0660 GitHub stars

Use Cases

01Investigating complex network connectivity and service resolution issues

02Auditing cluster resource usage and identifying performance bottlenecks

03Troubleshooting failing pods and stalled deployment rollouts

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add akin-ozer/cc-devops-skills k8s-debug

For use in Claude.ai and ChatGPT

Download Skill