kyverno-resource-governance-templates

Enforce Kubernetes resource limits, HPA, and storage constraints via Kyverno templates.

3|3|Updated Jan 4, 2026
One-click install
npx skills add https://github.com/adaptive-enforcement-lab/claude-skills --skill kyverno-resource-governance-templates
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kyverno-resource-governance-templates
Source: https://github.com/adaptive-enforcement-lab/claude-skills/tree/main/plugins/enforce/skills/kyverno-resource-governance-templates
Command: npx skills add https://github.com/adaptive-enforcement-lab/claude-skills --skill kyverno-resource-governance-templates

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Resource governance policies prevent overconsumption, enforce autoscaling requirements, and control storage allocation across your cluster.

Core Features & Use Cases

  • Resource limits and requests validation for all workloads
  • HPA requirements validation and enforcement for production workloads
  • Storage constraints to manage PVC sizes and storage class usage

Quick Start

Apply the Kyverno templates by deploying limits.yaml, hpa.yaml, and storage.yaml to enforce resource limits, HPA requirements, and storage constraints.

Frequently Asked Questions about kyverno-resource-governance-templates

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

FAQPage Schema
How do I enforce Kubernetes resource limits and requests using Kyverno?

You can enforce Kubernetes resource limits by applying Kyverno templates like limits.yaml to validate CPU and memory requests across all workloads in your development and production clusters.

Can I require HPA presence for production workloads with Kyverno policies?

Yes, deploying the hpa.yaml Kyverno template validates and enforces Horizontal Pod Autoscaler requirements specifically for your production workloads to ensure proper autoscaling.

How do I restrict PVC storage sizes and storage classes in Kubernetes?

You can restrict PVC storage allocation by applying the storage.yaml Kyverno template, which manages storage constraints and validates storage class usage across your namespaces.

Does policy-as-code work for namespace scoping in Kubernetes clusters?

Yes, Kyverno policy-as-code templates support namespace scoping to apply resource governance policies selectively across different deployments and namespaces within your cluster.

What is the best way to prevent Kubernetes resource overconsumption across deployments?

The best way to prevent overconsumption is applying Kyverno resource governance templates that enforce CPU, memory limits, HPA presence, and storage constraints across all deployments.

Do I need separate Kyverno policies for development and production clusters?

No, the Kyverno resource governance templates apply seamlessly to both development and production clusters, enforcing the same resource limits and storage constraints consistently.