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
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
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
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
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
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.