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

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

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 20 sections Open source page

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

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")

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 """)

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

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

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc