Kubernetes Operations

What it does

This skill provides comprehensive assistance for managing Kubernetes clusters using kubectl. It streamlines common tasks like debugging, resource management, and cluster operations through token-efficient scripts, preventing frequent errors and significantly reducing token usage (up to 70% savings in some cases). The skill focuses on providing concise summaries of information, avoiding verbose output that can flood the context.

When to use it

This skill is helpful when:

• You need to debug a Kubernetes pod quickly and efficiently.
• You want to list resources within your cluster without excessive verbosity.
• You require a rapid overview of your cluster's health status.
• You are performing operations in production environments and want to avoid common pitfalls.
• You encounter issues like CrashLoopBackOff, ImagePullBackOff, or pods stuck in a Pending state.

Key capabilities

• Provides token-efficient scripts for Kubernetes operations.
• Combines kubectl describe, logs, and events into condensed summaries for debugging.
• Offers quick overviews of node status and unhealthy pods.
• Prevents common errors like running commands in the wrong namespace or exposing secrets.
• Includes scripts for pod debugging (debug_pod.py) and cluster health checks (cluster_health.py).

Example prompts

• "Debug this pod: <pod-name> in namespace <namespace>."
• "Check the overall health of my Kubernetes cluster."
• "List all pods in the current context."

Tips & gotchas

• Verify Context: Always confirm your kubectl context using kubectl config current-context before performing any operations.
• Explicit Namespace: Always specify the namespace with -n <namespace> to avoid accidental actions on unintended clusters.
• Dry Runs: Utilize --dry-run=client -o yaml before applying changes in production to preview the impact.