A specialized tool for AI agents to manage, deploy, and troubleshoot Kubernetes clusters using native kubectl commands.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install kubectl
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 kubectl 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 Kubectl Kubernetes Manager?
The Kubectl Kubernetes Manager is a comprehensive Openclaw Skills integration designed to give AI coding agents full control over containerized environments. It bridges the gap between high-level architectural intent and low-level cluster orchestration by providing a structured interface for the kubectl command-line tool.
This skill is essential for developers and DevOps engineers who want to automate cluster health checks, resource deployments, and complex debugging workflows. By leveraging Openclaw Skills, users can interact with pods, services, and deployments across multiple namespaces and contexts with high precision and operational safety.
Kubectl Kubernetes Manager Use Cases
- Monitoring pod health and resource utilization across multiple Kubernetes namespaces.
- Automating the deployment and rolling update of containerized applications using YAML manifests.
- Troubleshooting failing containers by inspecting logs, describing resource events, and executing shell commands inside pods.
- Managing cluster infrastructure through node draining, cordoning, and maintenance workflows.
- Switching between different cloud provider contexts and managing kubeconfig configurations dynamically.
How Kubectl Kubernetes Manager Works
- The AI agent initializes the skill by verifying the local environment has the kubectl binary installed (v1.20+) and accessible on the system PATH.
- It establishes a secure connection to the target cluster using the active kubeconfig context, typically located at ~/.kube/config.
- The agent executes specific kubectl subcommands based on the developer's request, such as get, describe, apply, or scale.
- Results are captured and parsed into various formats like JSON or YAML for programmatic processing or human-readable tables for reporting.
- Advanced validation is performed using client-side or server-side dry-run modes before critical cluster operations are finalized.
Kubectl Kubernetes Manager Setup
To get started with this Openclaw Skills component, ensure you have the kubectl binary and a valid kubeconfig file with cluster credentials.
Install kubectl on macOS:
brew install kubernetes-cli
Install kubectl on Linux (Debian/Ubuntu):
apt-get install -y kubectl
Verify Connection:
kubectl version --client
kubectl cluster-info
Kubectl Kubernetes Manager Data Schema & Taxonomy
This skill interacts with standard Kubernetes resource schemas and utilizes the following data organization:
| Data Type | Description | Format |
|---|---|---|
| Resource Metadata | Name, namespace, labels, and annotations | JSON/YAML |
| Resource Spec | Desired state of the Kubernetes object | JSON/YAML |
| Resource Status | Current observed state of the object | JSON/YAML |
| Logs | Standard output and error streams from containers | Plain Text |
| Events | Cluster-level events related to resource lifecycle | Tabular/JSON |
Configurations and authentication secrets are managed via the standard KUBECONFIG file structure.
Kubectl Kubernetes Manager Advanced Features
- Multi-context management for seamlessly switching between development, staging, and production clusters.
- Extensive output formatting supporting JSONPath expressions and custom columns for automated data extraction.
- Safety-first execution using --dry-run=client and --dry-run=server modes to validate changes before application.
- Label selector filtering for performing bulk operations across specific application tiers or environments.
- Real-time resource monitoring with the --watch flag to track deployment progress and pod transitions as they happen.
SKILL.md
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