Build Your Kubernetes Skill

Before learning Kubernetes—orchestrating your containerized applications at scale—you'll own a Kubernetes skill.

Step 1: Get the Skills Lab

1. Go to github.com/panaversity/claude-code-skills-lab
2. Click the green Code button
3. Select Download ZIP
4. Extract the ZIP file
5. Open the extracted folder in your terminal

cd claude-code-skills-lab
claude

Step 2: Create Your Skill

Copy and paste this prompt:

Using your skill creator skill create a new skill for Kubernetes. I will use
it to deploy and scale containerized applications from hello world to professional
production systems. Use context7 skill to study official documentation and then
build it so no self assumed knowledge.

Claude will:

1. Fetch official Kubernetes documentation via Context7
2. Ask you clarifying questions (resource limits, scaling patterns, health checks)
3. Create the complete skill with references and templates

Your skill appears at .claude/skills/kubernetes-deployment/.

Done

You now own a Kubernetes skill built from official documentation. The rest of this chapter teaches you what it knows—and how to make it better.

Next: Lesson 1 — Kubernetes Architecture

Core Concept

Start Chapter 80 by building a kubernetes-deployment skill from official docs so you can deploy and scale containers while refining the skill through later lessons.

Key Mental Models

• Skill-first: Create the skill before deep learning; improve it as you progress.
• Doc-grounded: Use Context7 to pull Kubernetes documentation, not memory.
• Deployment focus: The skill targets real deployments from “hello world” to production.

Critical Patterns

• Clone/open the skills lab, then prompt /skill-creator to build the Kubernetes skill using fetched docs.
• Capture templates and references for resources, scaling, health checks, and limits in the skill.
• Keep the skill in .claude/skills/kubernetes-deployment/ for iterative refinement during the chapter.

Common Mistakes

• Building from assumptions instead of official docs, leading to bad manifests.
• Skipping clarifying questions, so the skill misses requirements (limits, health checks, scaling).
• Treating the initial skill as final instead of refining it per lesson.

Connections

• Builds on: Skill-first pattern from earlier chapters.
• Leads to: Kubernetes architecture and resource lessons that harden this skill.