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helm

Manage Helm charts and releases for Kubernetes applications.

1|Updated Mar 20, 2026
Search Tags:#debugging#charts#kubernetes#helm#ci-cd#templating#oci
One-click install
npx skills add https://github.com/kaynetik/skills --skill helm-kaynetik
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: helm
Source: https://github.com/kaynetik/skills/tree/main/helm
Command: npx skills add https://github.com/kaynetik/skills --skill helm-kaynetik

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helm chart development and operations are error-prone and fragmented across scaffolding, templating, dependency management, distribution, and runtime debugging, causing failed deployments and lengthy troubleshooting cycles. This Skill centralizes best practices and operational guidance to reduce deployment mistakes, validate charts, and accelerate safe rollouts.

Core Features & Use Cases

  • Chart authoring & scaffolding: guidance for Chart.yaml, values.yaml, values schema validation, CRDs, and templates to create consistent, production-ready charts.
  • Validation & CI workflows: linting, template rendering, server-side dry-run validation for lookup resolution, and values schema enforcement to catch issues early.
  • Distribution & lifecycle: OCI packaging and registry workflows, dependency management, post-renderers, hooks, upgrade/rollback patterns, and debugging techniques for running releases.
  • Use Case: validate and publish a web application chart, run CI linting and server-side dry-run checks, then perform an atomic upgrade with health checks and rollback on failure.

Quick Start

Install the chart into the production namespace using values-prod.yaml, run helm lint, and perform a server-side dry-run to validate templates against the live cluster.

Frequently Asked Questions about helm

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate Helm charts before deploying to a Kubernetes cluster?▼

Validate Helm charts by running helm lint for static analysis and server-side dry-run checks to resolve templates against the live cluster. Enforcing values schema validation catches structural issues early before they cause failed deployments.

What is the best way to debug a failed Helm release upgrade?▼

Debug failed Helm release upgrades using server-side dry-run validation to test template rendering and lookup resolution. Apply atomic upgrade patterns with integrated health checks and automated rollback configurations to safely manage the release lifecycle.

How does OCI registry packaging work for Helm charts?▼

OCI registry packaging for Helm charts involves pushing and pulling chart packages as OCI artifacts. This workflow centralizes distribution and dependency management, ensuring consistent and validated chart delivery across CI pipelines and production environments.

Can I use Helm post-renderers and hooks for Kubernetes deployment customization?▼

Helm post-renderers and hooks support Kubernetes deployment customization by allowing injected modifications and lifecycle event execution. This enables advanced templating and operational control without altering the core chart structure.

When do I need values schema validation in Helm chart authoring?▼

Values schema validation is needed during Helm chart authoring to enforce structure and types in values.yaml. It catches misconfigurations early in development and CI workflows, preventing invalid inputs from reaching production deployment scenarios.

Why do my Helm templates fail during CI linting but work locally?▼

Helm templates may fail CI linting due to missing values schema validation or differing values.yaml inputs. Running server-side dry-run validation in CI ensures template rendering and lookup resolution match cluster conditions, exposing local environment discrepancies.

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