Build Your Docker Skill

Before learning Docker—containerizing your applications for production—you'll own a Docker 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 Docker. I will use
it to containerize Python/FastAPI applications from hello world to professional
production deployments. Use context7 skill to study official documentation
and then build it so no self assumed knowledge.

Claude will:

1. Fetch official Docker documentation via Context7
2. Ask you clarifying questions (base images, multi-stage builds, security patterns)
3. Create the complete skill with references and templates

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

Done

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

Next: Lesson 1 — Docker Fundamentals

Core Concept

Build a Docker deployment skill BEFORE learning Docker, creating an asset you own and will improve throughout the chapter using AI and official documentation.

Key Mental Models

• Skill-First Learning: Create the capability first, then learn to improve it through the chapter lessons
• Documentation-Grounded Skills: Skills built from official docs via Context7 are more reliable than AI memory
• Owned Assets: The skill you create belongs to you and represents accumulated expertise
• Progressive Refinement: Each lesson reveals gaps in your skill that you then fix

Critical Patterns

• Clone skills-lab fresh for each chapter (no state assumptions)
• Use skill creator skill to generate new skills from official documentation
• Ask AI clarifying questions to customize skill for your use case
• Skills live in .claude/skills/ directory

AI Collaboration Keys

• Use natural language prompts to create skills
• Leverage Context7 for official documentation fetching
• Answer AI's clarifying questions to customize output

Common Mistakes

• Assuming AI memory is sufficient (use official docs instead)
• Skipping skill creation and jumping to manual learning
• Not specifying your use case (Python/FastAPI containerization)

Connections

• Builds on: Part 6 FastAPI agent development, Claude Code skills framework
• Leads to: Lesson 1 (Docker Installation) where you test and improve your skill