Skill: rohitg00/k8s-capi (version 1.0.0)

--- name: k8s-capi description: Cluster API lifecycle management for provisioning, scaling, and upgrading Kubernetes clusters. Use when managing cluster infrastructure or multi-cluster operations. --- # Cluster API Lifecycle Management Manage Kubernetes clusters using kubectl-mcp-server's Cluster API tools (11 tools). ## Check Installation ```python capi_detect_tool() ``` ## List Clusters ```python # List all CAPI clusters capi_clusters_list_tool(namespace="default") # Shows: # - Cluster name # - Phase (Provisioning, Provisioned, Deleting) # - Infrastructure ready # - Control plane ready ``` ## Get Cluster Details ```python capi_cluster_get_tool(name="my-cluster", namespace="default") # Shows: # - Spec (control plane, infrastructure) # - Status (phase, conditions) # - Network configuration ``` ## Get Cluster Kubeconfig ```python # Get kubeconfig for workload cluster capi_cluster_kubeconfig_tool(name="my-cluster", namespace="default") # Returns kubeconfig to access the cluster ``` ## Machines ### List Machines ```python capi_machines_list_tool(namespace="default") # Shows: # - Machine name # - Cluster # - Phase (Running, Provisioning, Failed) # - Provider ID # - Version ``` ### Get Machine Details ```python capi_machine_get_tool(name="my-cluster-md-0-xxx", namespace="default") ``` ## Machine Deployments ### List Machine Deployments ```python capi_machinedeployments_list_tool(namespace="default") # Shows: # - Deployment name # - Cluster # - Replicas (ready/total) # - Version ``` ### Scale Machine Deployment ```python # Scale worker nodes capi_machinedeployment_scale_tool( name="my-cluster-md-0", namespace="default", replicas=5 ) ``` ## Machine Sets ```python capi_machinesets_list_tool(namespace="default") ``` ## Machine Health Checks ```python capi_machinehealthchecks_list_tool(namespace="default") # Health checks automatically remediate unhealthy machines ``` ## Cluster Classes ```python # List cluster templates capi_clusterclasses_list_tool(namespace="default") # ClusterClasses define reusable cluster configurations ``` ## Create Cluster ```python kubectl_apply(manifest=""" apiVersion: cluster.x-k8s.io/v1beta1 kind: Cluster metadata: name: my-cluster namespace: default spec: clusterNetwork: pods: cidrBlocks: - 192.168.0.0/16 services: cidrBlocks: - 10.96.0.0/12 controlPlaneRef: apiVersion: controlplane.cluster.x-k8s.io/v1beta1 kind: KubeadmControlPlane name: my-cluster-control-plane infrastructureRef: apiVersion: infrastructure.cluster.x-k8s.io/v1beta1 kind: AWSCluster name: my-cluster """) ``` ## Create Machine Deployment ```python kubectl_apply(manifest=""" apiVersion: cluster.x-k8s.io/v1beta1 kind: MachineDeployment metadata: name: my-cluster-md-0 namespace: default spec: clusterName: my-cluster replicas: 3 selector: matchLabels: cluster.x-k8s.io/cluster-name: my-cluster template: spec: clusterName: my-cluster version: v1.28.0 bootstrap: configRef: apiVersion: bootstrap.cluster.x-k8s.io/v1beta1 kind: KubeadmConfigTemplate name: my-cluster-md-0 infrastructureRef: apiVersion: infrastructure.cluster.x-k8s.io/v1beta1 kind: AWSMachineTemplate name: my-cluster-md-0 """) ``` ## Cluster Lifecycle Workflows ### Provision New Cluster ```python 1. kubectl_apply(cluster_manifest) 2. capi_clusters_list_tool(namespace) # Wait for Provisioned 3. capi_cluster_kubeconfig_tool(name, namespace) # Get access ``` ### Scale Workers ```python 1. capi_machinedeployments_list_tool(namespace) 2. capi_machinedeployment_scale_tool(name, namespace, replicas) 3. capi_machines_list_tool(namespace) # Monitor ``` ### Upgrade Cluster ```python 1. # Update control plane version 2. # Update machine deployment version 3. capi_machines_list_tool(namespace) # Monitor rollout ``` ## Troubleshooting ### Cluster Stuck Provisioning ```python 1. capi_cluster_get_tool(name, namespace) # Check conditions 2. capi_machines_list_tool(namespace) # Check machine status 3. get_events(namespace) # Check events 4. # Check infrastructure provider logs ``` ### Machine Failed ```python 1. capi_machine_get_tool(name, namespace) 2. get_events(namespace) 3. # Common issues: # - Cloud provider quota # - Invalid machine template # - Network issues ``` ## Related Skills - [k8s-multicluster](../k8s-multicluster/SKILL.md) - Multi-cluster operations - [k8s-operations](../k8s-operations/SKILL.md) - kubectl operations


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