6.8k★by rohitg00
k8s-capi – OpenClaw Skill
k8s-capi is an OpenClaw Skills integration for devops workflows. Cluster API lifecycle management for provisioning, scaling, and upgrading Kubernetes clusters. Use when managing cluster infrastructure or multi-cluster operations.
Skill Snapshot
| name | k8s-capi |
| description | Cluster API lifecycle management for provisioning, scaling, and upgrading Kubernetes clusters. Use when managing cluster infrastructure or multi-cluster operations. OpenClaw Skills integration. |
| owner | rohitg00 |
| repository | rohitg00/k8s-capi |
| language | Markdown |
| license | MIT |
| topics | |
| security | L1 |
| install | openclaw add @rohitg00/k8s-capi |
| last updated | Feb 7, 2026 |
Maintainer

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
capi_detect_tool()
List Clusters
# 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
capi_cluster_get_tool(name="my-cluster", namespace="default")
# Shows:
# - Spec (control plane, infrastructure)
# - Status (phase, conditions)
# - Network configuration
Get Cluster Kubeconfig
# Get kubeconfig for workload cluster
capi_cluster_kubeconfig_tool(name="my-cluster", namespace="default")
# Returns kubeconfig to access the cluster
Machines
List Machines
capi_machines_list_tool(namespace="default")
# Shows:
# - Machine name
# - Cluster
# - Phase (Running, Provisioning, Failed)
# - Provider ID
# - Version
Get Machine Details
capi_machine_get_tool(name="my-cluster-md-0-xxx", namespace="default")
Machine Deployments
List Machine Deployments
capi_machinedeployments_list_tool(namespace="default")
# Shows:
# - Deployment name
# - Cluster
# - Replicas (ready/total)
# - Version
Scale Machine Deployment
# Scale worker nodes
capi_machinedeployment_scale_tool(
name="my-cluster-md-0",
namespace="default",
replicas=5
)
Machine Sets
capi_machinesets_list_tool(namespace="default")
Machine Health Checks
capi_machinehealthchecks_list_tool(namespace="default")
# Health checks automatically remediate unhealthy machines
Cluster Classes
# List cluster templates
capi_clusterclasses_list_tool(namespace="default")
# ClusterClasses define reusable cluster configurations
Create Cluster
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
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
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
1. capi_machinedeployments_list_tool(namespace)
2. capi_machinedeployment_scale_tool(name, namespace, replicas)
3. capi_machines_list_tool(namespace) # Monitor
Upgrade Cluster
1. # Update control plane version
2. # Update machine deployment version
3. capi_machines_list_tool(namespace) # Monitor rollout
Troubleshooting
Cluster Stuck Provisioning
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
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 - Multi-cluster operations
- k8s-operations - kubectl operations
No README available.
Permissions & Security
Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.
Requirements
- OpenClaw CLI installed and configured.
- Language: Markdown
- License: MIT
- Topics:
Configuration
``` ## Get Cluster Kubeconfig ```python
FAQ
How do I install k8s-capi?
Run openclaw add @rohitg00/k8s-capi in your terminal. This installs k8s-capi into your OpenClaw Skills catalog.
Does this skill run locally or in the cloud?
OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.
Where can I verify the source code?
The source repository is available at https://github.com/openclaw/skills/tree/main/skills/rohitg00/k8s-capi. Review commits and README documentation before installing.
