A robust skill for managing multiple Kubernetes clusters, switching contexts, and performing synchronized cross-cluster operations through a unified interface.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install k8-multicluster
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install k8-multicluster using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Multi-Cluster Kubernetes Management?
The Multi-Cluster Kubernetes Management skill is designed for SREs and DevOps engineers who navigate complex, distributed environments. By utilizing Openclaw Skills, users can seamlessly transition between production, staging, and development clusters without the friction of manual configuration switching. This tool provides a unified command set to interact with multiple API servers, enabling high-level operations like parallel resource querying and environment auditing.
Beyond basic connectivity, this skill integrates deeply with the Kubernetes ecosystem. It supports Cluster API (CAPI) for lifecycle management, multi-cluster Helm chart deployments, and GitOps reconciliation across various clusters. Whether you are synchronizing secrets between regions or comparing deployment manifests to detect drift, these Openclaw Skills ensure consistency and visibility across your entire infrastructure fleet.
Multi-Cluster Kubernetes Management Use Cases
- Comparing deployment configurations and resource states between staging and production environments.
- Performing global health checks by executing parallel queries across multiple geographic cluster regions.
- Managing cluster lifecycle and scaling MachineDeployments via Cluster API (CAPI) integrations.
- Synchronizing secrets and application manifests between source and target clusters for federation.
- Coordinating GitOps reconciliations for Flux and ArgoCD across a management cluster and its workload clusters.
How Multi-Cluster Kubernetes Management Works
- The skill identifies available Kubernetes contexts by reading the local kubeconfig through the list_contexts_tool.
- Users specify a target context using the
contextparameter available in all underlying kubectl-mcp-server tools. - Commands are routed to the specific cluster's API server, allowing for granular control over where resources are created or queried.
- For lifecycle tasks, the skill interacts with CAPI providers to manage machines and clusters as native Kubernetes objects.
- Logic-based loops can be used to aggregate data from multiple clusters simultaneously for comprehensive reporting and auditing.
Multi-Cluster Kubernetes Management Setup
To begin using these Openclaw Skills for multi-cluster management, ensure your environment is properly configured:
# Install the necessary MCP server for Kubernetes interaction
npm install -g @openclaw/kubectl-mcp-server
# Ensure your local kubeconfig is populated with the contexts you intend to manage
kubectl config get-contexts
# Test connectivity by listing contexts through the skill
# Use: list_contexts_tool()
Multi-Cluster Kubernetes Management Data Schema & Taxonomy
The skill organizes and interacts with data using the following taxonomy:
| Data Component | Description |
|---|---|
| Context Name | The unique identifier for a cluster/user/namespace combination in kubeconfig. |
| CAPI Metadata | Metadata for Machines, Clusters, and MachineDeployments within the capi-system. |
| Resource Manifests | YAML/JSON representations of K8s objects (Pods, Secrets, Deployments). |
| Helm Release State | Status and metadata for charts deployed across specific cluster contexts. |
| GitOps Status | Reconciliation state for Flux Kustomizations or ArgoCD Applications. |
Multi-Cluster Kubernetes Management Advanced Features
- Multi-cluster Helm support for deploying and listing releases across isolated environments.
- Full Cluster API (CAPI) integration for programmatic scaling and kubeconfig retrieval of workload clusters.
- GitOps orchestration capabilities compatible with both Flux and ArgoCD for cross-cluster sync.
- Parallel query execution patterns to monitor large-scale federated clusters efficiently.
- Support for Cilium ClusterMesh and Istio multi-cluster service discovery and proxy status checks.
SKILL.md
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