kubernetes

Debug and optimize Kubernetes workloads using kubectl and Helm.

10|7|Updated Mar 14, 2026
One-click install
npx skills add https://github.com/librefang/librefang-registry --skill kubernetes-librefang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kubernetes
Source: https://github.com/librefang/librefang-registry/tree/main/skills/kubernetes
Command: npx skills add https://github.com/librefang/librefang-registry --skill kubernetes-librefang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Kubernetes operations professionals need a structured framework to deploy, debug, and optimize workloads across clusters using kubectl, Helm, and native patterns.

Core Features & Use Cases

  • Declarative deployments: Use YAML manifests to manage apps and services with version control, RBAC, and network policies.
  • Debugging workflows: Systematic pod/statefulset investigations including log inspection, describe, and resource checks.
  • Best practices: Resource requests/limits, readiness and liveness probes, and zero-downtime deployment strategies.

Quick Start

Describe the current cluster context and begin a basic deployment workflow using kubectl and manifests.

Frequently Asked Questions about kubernetes

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I debug Kubernetes pods that keep crashing or failing readiness checks?

Debugging Kubernetes pods involves systematically inspecting logs, running kubectl describe, and checking resource requests or readiness probe configurations to identify crash causes. This framework guides pod and statefulset investigations to enforce safe, scalable deployments.

What is the best way to manage Kubernetes deployments using declarative manifests and RBAC?

Managing Kubernetes deployments declaratively uses YAML manifests to version control apps, services, RBAC, and network policies. This approach ensures safe, scalable workload deployments across development, staging, and production environments using kubectl and Helm.

Can I use kubectl and Helm to troubleshoot statefulsets across staging and production environments?

Yes, kubectl and Helm support troubleshooting statefulsets across staging and production environments. This framework applies systematic investigation patterns including log inspection, resource checks, and declarative manifest analysis to resolve workload issues.

Why are my Kubernetes workloads failing liveness probes during zero-downtime deployments?

Kubernetes workloads fail liveness probes during zero-downtime deployments when resource limits are misconfigured or probe thresholds are too aggressive. Applying best practices for resource requests, limits, and proper probe configurations ensures stable workload deployments.

When do I need network policies in Kubernetes cluster operations?

You need network policies in Kubernetes cluster operations to enforce safe, scalable deployments by controlling pod communication. They are applied alongside RBAC and declarative manifests to secure workloads across development, staging, and production environments.