Is it compatible with multiple programming languages?

Yes, the skill includes specific optimization patterns for Node.js, Python, Go, and other major frameworks to ensure language-specific best practices.

How does this skill reduce Docker image size?

It identifies bloated base images and suggests minimal alternatives like Alpine, while implementing multi-stage builds to exclude build-time dependencies from the final image.

Does it address container security?

Absolutely. It provides patterns for running containers as non-root users and removing unnecessary packages that increase the attack surface.

Can it help speed up my CI/CD pipeline?

Yes, by optimizing the order of Dockerfile instructions to maximize layer caching, ensuring that only changed code triggers a rebuild.

Dockerfile Optimizer

Name: Dockerfile Optimizer
Author: armanzeroeight

byarmanzeroeight

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部署与 DevOps

Analyzes and optimizes Dockerfiles to reduce image size, accelerate build times, and harden container security.

关于

The Dockerfile Optimizer skill provides a comprehensive framework for auditing and improving container images. It guides developers through selecting minimal base images, implementing efficient multi-stage builds, and optimizing layer caching to significantly speed up CI/CD pipelines. Beyond performance, it enforces security best practices such as non-root user execution and build-dependency cleanup, making it an essential tool for DevOps engineers looking to create production-ready, lightweight, and secure container artifacts.

主要功能

Multi-stage build implementation patterns
Security hardening via non-root user configuration
Base image selection guidance (Alpine vs. Slim)
19 GitHub stars
Build artifact reduction using .dockerignore strategies
Layer caching optimization for faster builds

使用场景

Hardening container security by removing unnecessary build-time dependencies
Fixing slow CI/CD pipelines by restructuring Docker layers for better caching
Reducing production image sizes to lower cloud storage and transfer costs

关于

主要功能

Multi-stage build implementation patterns
Security hardening via non-root user configuration
Base image selection guidance (Alpine vs. Slim)
19 GitHub stars
Build artifact reduction using .dockerignore strategies
Layer caching optimization for faster builds

使用场景

Hardening container security by removing unnecessary build-time dependencies
Fixing slow CI/CD pipelines by restructuring Docker layers for better caching
Reducing production image sizes to lower cloud storage and transfer costs