How does this skill handle storage implementation?

It provides patterns for implementing the rest.Storage interface directly rather than rest.StandardStorage, allowing for more flexible and custom backend logic.

Does this skill support automated code generation?

Yes, it includes access to scaffolding scripts for generating resource types, list types, deepcopy methods, and storage skeletons to speed up development.

When should I use an aggregated API server instead of a CRD?

You should choose an aggregated API server when you need custom storage backends other than etcd, direct control over the REST handler implementation, or specific performance optimizations not possible with standard CRDs.

What kind of validation does this skill provide?

The skill includes validation patterns and scripts to ensure your types include TypeMeta and ObjectMeta, separate Spec from Status correctly, and maintain required Deepcopy markers.

Kubernetes API Server Patterns

Name: Kubernetes API Server Patterns
Author: datum-cloud

bydatum-cloud

•

API 开发

Accelerates the development of Kubernetes aggregated API servers with standardized REST handlers, storage interfaces, and type definitions.

This skill provides comprehensive guidance and architectural patterns for building Kubernetes aggregated API servers, specifically optimized for the Datum Cloud ecosystem. Unlike standard CRD-based controllers, this skill focuses on implementing direct REST handlers and custom storage backends, offering specialized support for scheme registration, API installation, and complex type validation. It is an essential tool for systems engineers and backend developers who require high-performance, custom-logic Kubernetes extensions that need more granular control over storage and request processing than standard controllers allow.

主要功能

01Architectural guidance on choosing aggregated API servers over CRD-based controllers

022 GitHub stars

03Automated scaffolding scripts for resources, storage skeletons, and type validation

04Built-in validation checks for TypeMeta, ObjectMeta, and Deepcopy markers

05Implementation patterns for specialized REST handlers and storage interfaces

06Standardized patterns for explicit scheme registration and API installation

使用场景

01Building high-performance Kubernetes extensions with non-etcd storage backends

02Developing custom API servers that require direct control over RESTful operations

03Implementing complex API validation logic that exceeds standard CRD capabilities

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add datum-cloud/claude-code-plugins k8s-apiserver-patterns

For use in Claude.ai and ChatGPT

主要功能

01Architectural guidance on choosing aggregated API servers over CRD-based controllers

022 GitHub stars

03Automated scaffolding scripts for resources, storage skeletons, and type validation

04Built-in validation checks for TypeMeta, ObjectMeta, and Deepcopy markers

05Implementation patterns for specialized REST handlers and storage interfaces

06Standardized patterns for explicit scheme registration and API installation

使用场景

01Building high-performance Kubernetes extensions with non-etcd storage backends

02Developing custom API servers that require direct control over RESTful operations

03Implementing complex API validation logic that exceeds standard CRD capabilities