6.4k★by ddevaal
kubectl-skill – OpenClaw Skill
kubectl-skill is an OpenClaw Skills integration for devops workflows. Execute and manage Kubernetes clusters via kubectl commands. Query resources, deploy applications, debug containers, manage configurations, and monitor cluster health. Use when working with Kubernetes clusters, containers, deployments, or pod diagnostics.
Skill Snapshot
| name | kubectl-skill |
| description | Execute and manage Kubernetes clusters via kubectl commands. Query resources, deploy applications, debug containers, manage configurations, and monitor cluster health. Use when working with Kubernetes clusters, containers, deployments, or pod diagnostics. OpenClaw Skills integration. |
| owner | ddevaal |
| repository | ddevaal/kubectl |
| language | Markdown |
| license | MIT |
| topics | |
| security | L1 |
| install | openclaw add @ddevaal/kubectl |
| last updated | Feb 7, 2026 |
Maintainer

name: kubectl-skill description: Execute and manage Kubernetes clusters via kubectl commands. Query resources, deploy applications, debug containers, manage configurations, and monitor cluster health. Use when working with Kubernetes clusters, containers, deployments, or pod diagnostics. license: MIT metadata: author: Dennis de Vaal d.devaal@gmail.com version: "1.0.0" keywords: "kubernetes,k8s,container,docker,deployment,pods,cluster" compatibility: Requires kubectl binary (v1.20+) and active kubeconfig connection to a Kubernetes cluster. Works on macOS, Linux, and Windows (WSL).
kubectl Skill
Execute Kubernetes cluster management operations using the kubectl command-line tool.
Overview
This skill enables agents to:
- Query Resources — List and get details about pods, deployments, services, nodes, etc.
- Deploy & Update — Create, apply, patch, and update Kubernetes resources
- Debug & Troubleshoot — View logs, execute commands in containers, inspect events
- Manage Configuration — Update kubeconfig, switch contexts, manage namespaces
- Monitor Health — Check resource usage, rollout status, events, and pod conditions
- Perform Operations — Scale deployments, drain nodes, manage taints and labels
Prerequisites
- kubectl binary installed and accessible on PATH (v1.20+)
- kubeconfig file configured with cluster credentials (default:
~/.kube/config) - Active connection to a Kubernetes cluster
Quick Setup
Install kubectl
macOS:
brew install kubernetes-cli
Linux:
apt-get install -y kubectl # Ubuntu/Debian
yum install -y kubectl # RHEL/CentOS
Verify:
kubectl version --client
kubectl cluster-info # Test connection
Essential Commands
Query Resources
kubectl get pods # List all pods in current namespace
kubectl get pods -A # All namespaces
kubectl get pods -o wide # More columns
kubectl get nodes # List nodes
kubectl describe pod POD_NAME # Detailed info with events
View Logs
kubectl logs POD_NAME # Get logs
kubectl logs -f POD_NAME # Follow logs (tail -f)
kubectl logs POD_NAME -c CONTAINER # Specific container
kubectl logs POD_NAME --previous # Previous container logs
Execute Commands
kubectl exec -it POD_NAME -- /bin/bash # Interactive shell
kubectl exec POD_NAME -- COMMAND # Run single command
Deploy Applications
kubectl apply -f deployment.yaml # Apply config
kubectl create -f deployment.yaml # Create resource
kubectl apply -f deployment.yaml --dry-run=client # Test
Update Applications
kubectl set image deployment/APP IMAGE=IMAGE:TAG # Update image
kubectl scale deployment/APP --replicas=3 # Scale pods
kubectl rollout status deployment/APP # Check status
kubectl rollout undo deployment/APP # Rollback
Manage Configuration
kubectl config view # Show kubeconfig
kubectl config get-contexts # List contexts
kubectl config use-context CONTEXT # Switch context
Common Patterns
Debugging a Pod
# 1. Identify the issue
kubectl describe pod POD_NAME
# 2. Check logs
kubectl logs POD_NAME
kubectl logs POD_NAME --previous
# 3. Execute debug commands
kubectl exec -it POD_NAME -- /bin/bash
# 4. Check events
kubectl get events --sort-by='.lastTimestamp'
Deploying a New Version
# 1. Update image
kubectl set image deployment/MY_APP my-app=my-app:v2
# 2. Monitor rollout
kubectl rollout status deployment/MY_APP -w
# 3. Verify
kubectl get pods -l app=my-app
# 4. Rollback if needed
kubectl rollout undo deployment/MY_APP
Preparing Node for Maintenance
# 1. Drain node (evicts all pods)
kubectl drain NODE_NAME --ignore-daemonsets
# 2. Do maintenance
# ...
# 3. Bring back online
kubectl uncordon NODE_NAME
Output Formats
The --output (-o) flag supports multiple formats:
table— Default tabular formatwide— Extended table with additional columnsjson— JSON format (useful withjq)yaml— YAML formatjsonpath— JSONPath expressionscustom-columns— Define custom output columnsname— Only resource names
Examples:
kubectl get pods -o json | jq '.items[0].metadata.name'
kubectl get pods -o jsonpath='{.items[*].metadata.name}'
kubectl get pods -o custom-columns=NAME:.metadata.name,STATUS:.status.phase
Global Flags (Available to All Commands)
-n, --namespace=<ns> # Operate in specific namespace
-A, --all-namespaces # Operate across all namespaces
--context=<context> # Use specific kubeconfig context
-o, --output=<format> # Output format (json, yaml, table, etc.)
--dry-run=<mode> # Dry-run mode (none, client, server)
-l, --selector=<labels> # Filter by labels
--field-selector=<selector> # Filter by fields
-v, --v=<int> # Verbosity level (0-9)
Dry-Run Modes
--dry-run=client— Fast client-side validation (test commands safely)--dry-run=server— Server-side validation (more accurate)--dry-run=none— Execute for real (default)
Always test with --dry-run=client first:
kubectl apply -f manifest.yaml --dry-run=client
Advanced Topics
For detailed reference material, command-by-command documentation, troubleshooting guides, and advanced workflows, see:
- references/REFERENCE.md — Complete kubectl command reference
- scripts/ — Helper scripts for common tasks
Helpful Tips
-
Use label selectors for bulk operations:
kubectl delete pods -l app=myapp kubectl get pods -l env=prod,tier=backend -
Watch resources in real-time:
kubectl get pods -w # Watch for changes -
Use
-Aflag for all namespaces:kubectl get pods -A # See pods everywhere -
Save outputs for later comparison:
kubectl get deployment my-app -o yaml > deployment-backup.yaml -
Check before you delete:
kubectl delete pod POD_NAME --dry-run=client
Getting Help
kubectl help # General help
kubectl COMMAND --help # Command help
kubectl explain pods # Resource documentation
kubectl explain pods.spec # Field documentation
Environment Variables
KUBECONFIG— Path to kubeconfig file (can include multiple paths separated by:)KUBECTL_CONTEXT— Override default context
Resources
Version: 1.0.0
License: MIT
Compatible with: kubectl v1.20+, Kubernetes v1.20+
kubectl Skill
An Agent Skills-compatible skill package for kubectl command-line operations on Kubernetes clusters.
What's Included
- SKILL.md — Main skill instructions (AgentSkills format)
- references/REFERENCE.md — Complete command reference
- scripts/ — Helper scripts for common workflows
kubectl-pod-debug.sh— Comprehensive pod debuggingkubectl-deploy-update.sh— Safe deployment image updates with monitoringkubectl-node-drain.sh— Safe node maintenance with confirmationkubectl-cluster-info.sh— Cluster health check
Installation
Via ClawdHub
clawdhub install kubectl-skill
Manual Installation
Copy the kubectl-skill directory to one of these locations:
- Workspace skills (per-project):
<workspace>/skills/ - Local skills (user-wide):
~/.clawdbot/skills/ - Extra skills folder: Configured via
~/.clawdbot/clawdbot.json
Requirements
- kubectl v1.20+ installed and on PATH
- kubeconfig file configured with cluster access
- Active connection to a Kubernetes cluster
Quick Start
Verify Installation
kubectl version --client
kubectl cluster-info
Basic Commands
# List pods
kubectl get pods -A
# View logs
kubectl logs POD_NAME
# Execute in pod
kubectl exec -it POD_NAME -- /bin/bash
# Apply configuration
kubectl apply -f deployment.yaml
# Scale deployment
kubectl scale deployment/APP --replicas=3
Helper Scripts
Make scripts executable first:
chmod +x scripts/*.sh
Debug a Pod
./scripts/kubectl-pod-debug.sh POD_NAME [NAMESPACE]
Update Deployment Image
./scripts/kubectl-deploy-update.sh DEPLOYMENT CONTAINER IMAGE [NAMESPACE]
Drain Node for Maintenance
./scripts/kubectl-node-drain.sh NODE_NAME
Check Cluster Health
./scripts/kubectl-cluster-info.sh
Structure
kubectl-skill/
├── SKILL.md # Main skill instructions
├── LICENSE # MIT License
├── README.md # This file
├── references/
│ └── REFERENCE.md # Complete command reference
├── scripts/
│ ├── kubectl-pod-debug.sh
│ ├── kubectl-deploy-update.sh
│ ├── kubectl-node-drain.sh
│ └── kubectl-cluster-info.sh
└── assets/ # (Optional) For future additions
Key Features
✅ Query and inspect Kubernetes resources
✅ Deploy and update applications
✅ Debug pods and containers
✅ Manage cluster configuration
✅ Monitor resource usage and health
✅ Execute commands in running containers
✅ View logs and events
✅ Port forwarding for local testing
✅ Node maintenance operations
✅ Dry-run support for safe operations
Environment Variables
KUBECONFIG— Path to kubeconfig file (can include multiple paths separated by:)KUBECTLDIR— Directory for kubectl plugins (optional)
Documentation
- Main instructions: See
SKILL.mdfor overview and common commands - Complete reference: See
references/REFERENCE.mdfor all commands - Official docs: https://kubernetes.io/docs/reference/kubectl/
- AgentSkills spec: https://agentskills.io/
Compatibility
- kubectl versions: v1.20+
- Kubernetes versions: v1.20+
- Platforms: macOS, Linux, Windows (WSL)
- Agent frameworks: Any that supports AgentSkills format
Contributing
This skill is part of the Clawdbot project. To contribute:
- Test changes locally
- Update documentation
- Ensure scripts are executable and tested
- Submit pull request with clear description
License
MIT License — See LICENSE file for details
Support
- GitHub Issues: Report bugs and request features
- Official Docs: https://kubernetes.io/docs/reference/kubectl/
- ClawdHub: https://clawdhub.com/
Version: 1.0.0
Last Updated: January 24, 2026
Maintainer: Clawdbot Contributors
Permissions & Security
Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.
Requirements
1. **kubectl binary** installed and accessible on PATH (v1.20+) 2. **kubeconfig** file configured with cluster credentials (default: `~/.kube/config`) 3. **Active connection** to a Kubernetes cluster
Configuration
```bash kubectl config view # Show kubeconfig kubectl config get-contexts # List contexts kubectl config use-context CONTEXT # Switch context ```
FAQ
How do I install kubectl-skill?
Run openclaw add @ddevaal/kubectl in your terminal. This installs kubectl-skill 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/ddevaal/kubectl. Review commits and README documentation before installing.
