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home / skills / jeremylongshore / claude-code-plugins-plus-skills / gke-cluster-config

gke-cluster-config skill

/skills/14-gcp-skills/gke-cluster-config

This skill provides automated guidance for gke cluster config, generating production-ready configurations and best practices.

npx playbooks add skill jeremylongshore/claude-code-plugins-plus-skills --skill gke-cluster-config

Review the files below or copy the command above to add this skill to your agents.

Files (1)
SKILL.md
2.1 KB
---
name: "gke-cluster-config"
description: |
  Configure gke cluster config operations. Auto-activating skill for GCP Skills.
  Triggers on: gke cluster config, gke cluster config
  Part of the GCP Skills skill category. Use when configuring systems or services. Trigger with phrases like "gke cluster config", "gke config", "gke".
allowed-tools: "Read, Write, Edit, Bash(gcloud:*)"
version: 1.0.0
license: MIT
author: "Jeremy Longshore <[email protected]>"
---

# Gke Cluster Config

## Overview

This skill provides automated assistance for gke cluster config tasks within the GCP Skills domain.

## When to Use

This skill activates automatically when you:
- Mention "gke cluster config" in your request
- Ask about gke cluster config patterns or best practices
- Need help with google cloud platform skills covering compute, storage, bigquery, vertex ai, and gcp-specific services.

## Instructions

1. Provides step-by-step guidance for gke cluster config
2. Follows industry best practices and patterns
3. Generates production-ready code and configurations
4. Validates outputs against common standards

## Examples

**Example: Basic Usage**
Request: "Help me with gke cluster config"
Result: Provides step-by-step guidance and generates appropriate configurations


## Prerequisites

- Relevant development environment configured
- Access to necessary tools and services
- Basic understanding of gcp skills concepts


## Output

- Generated configurations and code
- Best practice recommendations
- Validation results


## Error Handling

| Error | Cause | Solution |
|-------|-------|----------|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |


## Resources

- Official documentation for related tools
- Best practices guides
- Community examples and tutorials

## Related Skills

Part of the **GCP Skills** skill category.
Tags: gcp, bigquery, vertex-ai, cloud-run, firebase

Overview

This skill automates GKE cluster configuration tasks and provides practical, production-ready guidance for Google Kubernetes Engine setups. It generates configuration files, validates common settings, and recommends industry best practices to ensure secure, reliable clusters. Use it to accelerate cluster provisioning, tuning, and policy compliance.

How this skill works

The skill inspects requested cluster parameters and generates YAML manifests, Terraform snippets, or gcloud commands tailored to the target environment. It validates outputs against common standards (RBAC, network policies, resource quotas) and surfaces potential misconfigurations or missing permissions. Where relevant, it suggests step-by-step commands, prerequisite checks, and remediation actions.

When to use it

  • Provisioning new GKE clusters with specific network, node, or workload needs
  • Updating cluster configuration, node pools, autoscaling, or add-on settings
  • Hardening clusters with RBAC, network policies, and admission controllers
  • Generating Terraform or kustomize manifests for CI/CD pipelines
  • Validating existing cluster configs for compliance or cost optimization

Best practices

  • Define cluster topology and network boundaries before provisioning to reduce rework
  • Use node pools for mixed workloads and set resource requests/limits for predictable scheduling
  • Enable private clusters and VPC-native (alias IP) networking for security and performance
  • Apply RBAC least-privilege and enforce namespace isolation with network policies
  • Use infrastructure-as-code (Terraform, Deployment Manager) and store configs in version control

Example use cases

  • Generate Terraform to create a private GKE cluster with separate node pools for system and batch workloads
  • Produce kustomize overlays for staging and production cluster configs including resourceQuota and limitRange
  • Create gcloud commands and YAML to enable workload identity and configure pod security policies
  • Validate an existing cluster for missing network policies, excessive node sizes, or absent autoscaling
  • Recommend cost-saving changes like using preemptible nodes for noncritical workloads

FAQ

What inputs do you need to generate a cluster config?

Provide desired region/zone, network/VPC, node pool sizes and types, workload isolation needs, and any required add-ons (e.g., Istio, Cloud Run, GPU).

Can this produce Terraform and raw YAML together?

Yes. The skill can generate Terraform resources and corresponding Kubernetes manifests (YAML) that align with the same desired state, plus example CI/CD snippets.