Does it include reliability best practices?

Yes, it emphasizes the mandatory use of resource limits, health probes, and structured labeling to ensure stable cluster operations.

Is it compatible with specific cloud providers like AWS or GCP?

The manifests generated are standard Kubernetes YAML, making them compatible with any CNCF-compliant cluster including EKS, GKE, and AKS.

Which Kubernetes resources can this skill generate?

It covers core resources including Pods, Deployments, Services, ConfigMaps, and Secrets, ensuring they follow standard API versions.

Can it help with manifest validation?

Yes, it provides specific commands and patterns for local validation using kubectl dry-runs and external tools like kubeconform.

Kubernetes Manifest Architect

Name: Kubernetes Manifest Architect
Author: TheBushidoCollective

byTheBushidoCollective

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Deployment & DevOps

Generates and validates production-ready Kubernetes manifests for container orchestration and infrastructure management.

About

This skill empowers Claude to author, optimize, and validate Kubernetes resource definitions including Deployments, Services, ConfigMaps, and Secrets. It enforces industry best practices such as resource request/limit definitions, liveness and readiness probes, and consistent labeling strategies. By providing standardized templates and validation patterns, it ensures that containerized applications are scalable, resilient, and ready for deployment via tools like kubectl or kubeconform.

Key Features

72 GitHub stars
Implementation of resource requests and limits for cluster stability
Automated generation of core Kubernetes resource types like Pods and Deployments
Configuration of health checks using liveness and readiness probes
Secure management patterns for ConfigMaps and Secrets
Standardized labeling and selector strategies for service discovery

Use Cases

Setting up a new microservice deployment architecture on a Kubernetes cluster
Retrofitting existing manifests with health probes and resource constraints for better reliability
Standardizing infrastructure-as-code patterns across multi-service environments

About

Key Features

72 GitHub stars
Implementation of resource requests and limits for cluster stability
Automated generation of core Kubernetes resource types like Pods and Deployments
Configuration of health checks using liveness and readiness probes
Secure management patterns for ConfigMaps and Secrets
Standardized labeling and selector strategies for service discovery

Use Cases

Setting up a new microservice deployment architecture on a Kubernetes cluster
Retrofitting existing manifests with health probes and resource constraints for better reliability
Standardizing infrastructure-as-code patterns across multi-service environments