How does this skill prevent accidental cluster changes?

It enforces context safety by requiring the explicit --context or --kube-context flag in every generated kubectl and helm command, ensuring operations occur on the intended cluster.

How does it help with image pull errors?

It guides you through describing pods to find the specific error event, checking image pull secrets, and verifying registry authentication configuration within the chart.

Can it fix 'nil pointer evaluating interface' errors?

Yes, it identifies missing values in your values.yaml or template paths and suggests proper default, required, or conditional value patterns to prevent rendering crashes.

Does it support dry-runs before actual deployment?

Yes, it follows a layered validation progression that includes helm lint, helm template for local rendering, and helm install --dry-run --debug for server-side validation.

What happens if a resource already exists in the cluster?

The skill provides specific recovery strategies, including resource adoption via annotations/labels, manual cleanup, or release name conflict resolution.

Helm Debugging & Troubleshooting

Name: Helm Debugging & Troubleshooting
Author: laurigates

bylaurigates

•

デプロイメントとDevOps

Diagnoses and resolves Helm deployment failures, template syntax errors, and Kubernetes resource configuration issues.

This skill provides comprehensive guidance and automated workflows for troubleshooting Helm charts and deployments within Claude Code. It helps developers identify root causes for common failures such as YAML parsing errors, nil pointer evaluations in templates, type mismatches, and resource conflicts. By enforcing a layered validation approach—incorporating linting, dry-runs, and status inspections—it ensures stable and predictable Kubernetes deployments while mandating strict context safety to prevent accidental operations on incorrect clusters.

主な機能

01Deep inspection of deployed manifests and computed values

023 GitHub stars

03Troubleshooting workflows for image pull failures and CRD issues

04Advanced YAML parse and template rendering error diagnosis

05Context-aware command generation for multi-cluster safety

06Automated layered validation (Lint, Template, Dry-run, Install)

ユースケース

01Resolving resource conflicts when Helm manifests already exist in a namespace

02Fixing 'nil pointer evaluating interface' errors in complex Helm templates

03Debugging failed deployments that result in timeouts or ImagePullBackOff

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add laurigates/claude-plugins helm-debugging

For use in Claude.ai and ChatGPT

Download Skill