Can it help with Docker volume issues?

Yes, the skill specifically prompts the inspection of mounts and permissions to ensure containers can correctly access and write to necessary data volumes.

Is this skill suitable for local development?

Absolutely. It includes steps for local reproduction, helping you validate fixes on your machine before pushing changes to a remote registry or cluster.

How does it handle network troubleshooting?

The skill guides the user to verify environment variables, service endpoints, and network policies to ensure containers can communicate within the cluster.

How does this skill help with Kubernetes errors?

It provides a step-by-step workflow to inspect pod logs, exit codes, and manifest configurations to find the root cause of deployment failures like CrashLoopBackOff.

Container Debugging

Name: Container Debugging
Author: rozwer

byrozwer

Despliegue y DevOps

Troubleshoots and resolves Docker and Kubernetes issues by systematically inspecting runtime states and logs before implementing fixes.

Acerca de

The Container Debugging skill provides a structured framework for diagnosing complex containerization issues within Docker and Kubernetes environments. It guides Claude through a systematic investigation process—inspecting exit codes, environment variables, mount points, and network configurations—ensuring that root causes are identified before any changes are made to images or manifests. This skill is essential for developers and DevOps engineers who need to reduce downtime by applying surgical, data-driven fixes to failing services or misconfigured clusters.

Características Principales

Structured workflow for Docker and Kubernetes troubleshooting
0 GitHub stars
Guidance for local reproduction to minimize deployment trial-and-error
Network connectivity and service-to-service communication verification
Detailed runtime state and log analysis for rapid failure identification
Validation of environment variables, volume mounts, and file permissions

Casos de Uso

Resolving permission issues and mount failures in Dockerized applications
Troubleshooting networking and service discovery problems in microservice architectures
Diagnosing 'CrashLoopBackOff' errors and container exit codes in Kubernetes pods

Acerca de

Características Principales

Structured workflow for Docker and Kubernetes troubleshooting
0 GitHub stars
Guidance for local reproduction to minimize deployment trial-and-error
Network connectivity and service-to-service communication verification
Detailed runtime state and log analysis for rapid failure identification
Validation of environment variables, volume mounts, and file permissions

Casos de Uso

Resolving permission issues and mount failures in Dockerized applications
Troubleshooting networking and service discovery problems in microservice architectures
Diagnosing 'CrashLoopBackOff' errors and container exit codes in Kubernetes pods