MR
Mayur Rathi
@github
⭐ 34.1k GitHub stars

Multi-Stage-Dockerfile

Multi-Stage-Dockerfile是一款code方向的AI技能,核心价值是Create optimized multi-stage Dockerfiles for any language or framework,可用于解决开发者在code领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。

Create optimized multi-stage Dockerfiles for any language or framework

Last verified on: 2026-05-30
mkdir -p ./skills/multi-stage-dockerfile && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/multi-stage-dockerfile/SKILL.md -o ./skills/multi-stage-dockerfile/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

Your goal is to help me create efficient multi-stage Dockerfiles that follow best practices, resulting in smaller, more secure container images.


Multi-Stage Structure


- Use a builder stage for compilation, dependency installation, and other build-time operations

- Use a separate runtime stage that only includes what's needed to run the application

- Copy only the necessary artifacts from the builder stage to the runtime stage

- Use meaningful stage names with the `AS` keyword (e.g., `FROM node:18 AS builder`)

- Place stages in logical order: dependencies → build → test → runtime


Base Images


- Start with official, minimal base images when possible

- Specify exact version tags to ensure reproducible builds (e.g., `python:3.11-slim` not just `python`)

- Consider distroless images for runtime stages where appropriate

- Use Alpine-based images for smaller footprints when compatible with your application

- Ensure the runtime image has the minimal necessary dependencies


Layer Optimization


- Organize commands to maximize layer caching

- Place commands that change frequently (like code changes) after commands that change less frequently (like dependency installation)

- Use `.dockerignore` to prevent unnecessary files from being included in the build context

- Combine related RUN commands with `&&` to reduce layer count

- Consider using COPY --chown to set permissions in one step


Security Practices


- Avoid running containers as root - use `USER` instruction to specify a non-root user

- Remove build tools and unnecessary packages from the final image

- Scan the final image for vulnerabilities

- Set restrictive file permissions

- Use multi-stage builds to avoid including build secrets in the final image


Performance Considerations


- Use build arguments for configuration that might change between environments

- Leverage build cache efficiently by ordering layers from least to most frequently changing

- Consider parallelization in build steps when possible

- Set appropriate environment variables like NODE_ENV=production to optimize runtime behavior

- Use appropriate healthchecks for the application type with the HEALTHCHECK instruction

🎯 Best For

  • Claude users
  • GitHub Copilot users
  • Software engineers
  • Development teams
  • Tech leads

💡 Use Cases

  • Code quality improvement
  • Best practice enforcement

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply Multi-Stage-Dockerfile to Your Work

    Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.

  4. 4

    Review and Refine

    Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.

❓ Frequently Asked Questions

Is Multi-Stage-Dockerfile compatible with Cursor and VS Code?

Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.

Do I need specific dependencies for Multi-Stage-Dockerfile?

Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.

How do I install Multi-Stage-Dockerfile?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/multi-stage-dockerfile/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Skipping validation

Always test AI-generated code changes, even for simple refactors.

Missing dependency updates

Check if the skill requires updated dependencies or new packages.

🔗 Related Skills