Does this skill follow Kubernetes security best practices?

Yes, it automatically incorporates security contexts such as running as non-root users, dropping capabilities, and setting read-only root filesystems as standard defaults.

Can I use this for stateful applications?

Absolutely. The skill includes specific patterns and templates for PersistentVolumeClaims and stateful workload requirements.

Does it support manifest validation?

Yes, it provides specific CLI commands for dry-run validation, server-side validation, and integration with linting tools like kube-score or kube-linter.

What types of Kubernetes resources can this skill generate?

It generates a wide range of essential resources including Deployments, Services (ClusterIP/LoadBalancer), ConfigMaps, Secrets, and PersistentVolumeClaims.

How does it handle resource management?

The skill enforces the definition of CPU and memory requests and limits to ensure cluster stability and prevent resource exhaustion.

Kubernetes Manifest Generator

Name: Kubernetes Manifest Generator
Author: Activer007

byActiver007

Deployment & DevOps

Generates production-grade Kubernetes YAML manifests for Deployments, Services, and configurations following cloud-native security standards.

About

This skill provides Claude with a specialized framework for architecting and generating comprehensive Kubernetes manifests. It guides users through the entire lifecycle of defining containerized workloads, from setting up high-availability Deployments and internal/external Services to managing persistent storage and sensitive data. By incorporating industry best practices like resource limits, liveness/readiness probes, and strict security contexts, it ensures that every generated configuration is secure, scalable, and ready for deployment in production environments.

Key Features

Standardized Deployment and Service resource generation
Automated security context and non-root user configuration
Comprehensive health check (liveness/readiness) integration
Built-in validation workflow using dry-runs and linting tools
0 GitHub stars
Resource request and limit optimization recommendations

Use Cases

Designing complex multi-resource deployments including stateful sets and persistent storage
Standardizing existing manifests to meet enterprise security and reliability benchmarks
Bootstrapping new microservices with production-grade K8s configurations

About

Key Features

Standardized Deployment and Service resource generation
Automated security context and non-root user configuration
Comprehensive health check (liveness/readiness) integration
Built-in validation workflow using dry-runs and linting tools
0 GitHub stars
Resource request and limit optimization recommendations

Use Cases

Designing complex multi-resource deployments including stateful sets and persistent storage
Standardizing existing manifests to meet enterprise security and reliability benchmarks
Bootstrapping new microservices with production-grade K8s configurations