What tools does the skill use for investigation?

The skill leverages native kubectl commands, network utilities like netshoot, log aggregators, and performance monitoring metrics to provide a 360-degree view of the cluster state.

How does this skill help with CrashLoopBackOff errors?

It utilizes a systematic decision tree to analyze previous container logs, resource limits, and probe configurations to pinpoint the exact application or environment error causing the restart loop.

Can it diagnose internal Kubernetes networking issues?

Yes, it includes specific diagnostic patterns for DNS resolution, service-to-pod mapping, NetworkPolicy restrictions, and CNI-related connectivity problems.

How does it improve incident response times?

By automating the initial data gathering and providing pre-built investigation paths for common SRE scenarios, it significantly reduces the time required for root cause analysis.

Does it support node-level troubleshooting?

It provides deep node health analysis including kubelet status, disk pressure checks, certificate verification, and system resource allocation metrics.

Kubernetes Troubleshooting

Name: Kubernetes Troubleshooting
Author: pluginagentmarketplace

bypluginagentmarketplace

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Despliegue y DevOps

Diagnoses and resolves complex Kubernetes cluster issues across pods, networking, nodes, and control plane components.

Acerca de

The Kubernetes Troubleshooting skill empowers Claude to act as a senior SRE, providing systematic diagnosis and resolution patterns for containerized environments. It features comprehensive decision trees for common failure modes like CrashLoopBackOff and ImagePullBackOff, deep-dive network connectivity analysis, and node-level health checks. Whether dealing with pending pods, DNS resolution failures, or resource-related performance bottlenecks, this skill provides the specific kubectl commands and investigative logic required to reduce Mean Time to Recovery (MTTR) and ensure high availability in production clusters.

Características Principales

Systematic pod status diagnosis for CrashLoopBackOff and ImagePullBackOff
Comprehensive node health auditing and system resource monitoring
1 GitHub stars
Performance bottleneck identification and OOMKilled root cause analysis
Control plane component debugging including API server and etcd health
Advanced network connectivity, DNS resolution, and Service endpoint analysis

Casos de Uso

Diagnosing intermittent network connectivity or DNS issues within a cluster
Rapid incident response for failing production services and crashing pods
Identifying and fixing resource constraints, scheduling failures, and node-level bottlenecks

Acerca de

Características Principales

Systematic pod status diagnosis for CrashLoopBackOff and ImagePullBackOff
Comprehensive node health auditing and system resource monitoring
1 GitHub stars
Performance bottleneck identification and OOMKilled root cause analysis
Control plane component debugging including API server and etcd health
Advanced network connectivity, DNS resolution, and Service endpoint analysis

Casos de Uso

Diagnosing intermittent network connectivity or DNS issues within a cluster
Rapid incident response for failing production services and crashing pods
Identifying and fixing resource constraints, scheduling failures, and node-level bottlenecks