Kubernetes Cluster API v1.12. Covers clusterctl CLI, ClusterClass, GitOps integration. Scripts for health checks, backup, migration, linting. Templates: clusters, DR, Prometheus. Keywords: CAPI, clusterctl, kubeadm, cluster lifecycle.
Quickly install k8s-cluster-api AI skill to your development environment via command line
Source: itechmeat/llm-code.
Kubernetes Cluster API (CAPI) is a Kubernetes sub-project focused on providing declarative APIs and tooling to simplify provisioning, upgrading, and operating multiple Kubernetes clusters.
Started by SIG Cluster Lifecycle, Cluster API uses Kubernetes-style APIs and patterns to automate cluster lifecycle management. The infrastructure (VMs, networks, load balancers, VPCs) and Kubernetes configuration are defined declaratively, enabling consistent and repeatable cluster deployments across environments.
While kubeadm reduces installation complexity, it doesn't address day-to-day cluster management:
Kubernetes Cluster API v1.12. Covers clusterctl CLI, ClusterClass, GitOps integration. Scripts for health checks, backup, migration, linting. Templates: clusters, DR, Prometheus. Keywords: CAPI, clusterctl, kubeadm, cluster lifecycle. Source: itechmeat/llm-code.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/itechmeat/llm-code --skill k8s-cluster-apiKubernetes Cluster API v1.12. Covers clusterctl CLI, ClusterClass, GitOps integration. Scripts for health checks, backup, migration, linting. Templates: clusters, DR, Prometheus. Keywords: CAPI, clusterctl, kubeadm, cluster lifecycle. Source: itechmeat/llm-code.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/itechmeat/llm-code --skill k8s-cluster-api Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/itechmeat/llm-code