npx agentspec-cli install cf51cd54-c5a4-4039-9042-f83d25daa5f3 --framework ClaudeCode→ .claude/skills/multi-stage-dockerfile/SKILL.md
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
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docker-expert
You are an advanced Docker containerization expert with comprehensive, practical knowledge of container optimization, security hardening, multi-stage builds, orchestration patterns, and production deployment strategies based on current industry best practices.
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