Does this skill support Custom Resource Definitions (CRDs)?

Absolutely. It includes specific guidance on using the CustomObjectsApi to create, list, and manage custom resources and third-party CRDs.

How can I prevent errors when a resource already exists?

The skill includes an idempotent 'create-or-update' pattern that checks for resource existence and performs a patch or replace operation as needed.

Is there support for asynchronous Kubernetes operations?

This skill focuses on the official synchronous client; however, it notes that kubernetes_asyncio is recommended for developers requiring native Python async/await support.

How does the skill handle authentication inside a cluster?

It provides implementation patterns for load_incluster_config(), allowing your Python applications to use ServiceAccount tokens automatically when running as a Pod.

Can I use this skill with managed services like EKS or GKE?

Yes, the skill supports standard kubeconfig authentication, which is compatible with AWS EKS, Google GKE, and Azure AKS clusters.

Kubernetes Python Client

Name: Kubernetes Python Client
Author: adaptationio

byadaptationio

Deployment & DevOps

Manages Kubernetes clusters programmatically using the official Python client library for automation and orchestration.

About

This skill provides a comprehensive interface for the official Kubernetes Python client, enabling Claude to perform programmatic cluster management tasks directly. It covers everything from basic pod listing and resource CRUD operations to advanced patterns like real-time watches, custom resource (CRD) management, and idempotent create-or-update logic. Ideal for DevOps engineers and developers building internal tools, automation scripts, or Kubernetes controllers, this skill ensures best practices in authentication, error handling, and resource scaling are followed.

Key Features

Programmatic access to all Kubernetes API resources including Pods, Deployments, and Services
Real-time resource monitoring and event streaming via the Watch API
Efficient server-side filtering and pagination for managing large-scale clusters
0 GitHub stars
Comprehensive management of Custom Resource Definitions (CRDs)
Support for local kubeconfig and in-cluster service account authentication patterns

Use Cases

Automating deployment rollouts and scaling operations via Python scripts
Building custom Kubernetes controllers or operators to manage complex state
Programmatically auditing cluster resources for security and compliance

About

Key Features

Programmatic access to all Kubernetes API resources including Pods, Deployments, and Services
Real-time resource monitoring and event streaming via the Watch API
Efficient server-side filtering and pagination for managing large-scale clusters
0 GitHub stars
Comprehensive management of Custom Resource Definitions (CRDs)
Support for local kubeconfig and in-cluster service account authentication patterns

Use Cases

Automating deployment rollouts and scaling operations via Python scripts
Building custom Kubernetes controllers or operators to manage complex state
Programmatically auditing cluster resources for security and compliance