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Kubernetes Skills

Cluster API lifecycle management for provisioning, scaling, and upgrading Kubernetes clusters. Use when managing cluster infrastructure or multi-cluster operati

Introduction

# 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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