Is this skill specific to PHP projects?

While it is part of a PHP toolkit, the Docker antipatterns it detects (like layer caching, signal handling, and apt-get usage) are universal best practices for any containerized application.

How does this skill improve build performance?

It identifies layer ordering issues, such as copying source code before installing dependencies, ensuring that expensive build steps are cached effectively.

Can it help reduce Docker image size?

Yes, it detects unnecessary package caches, development-only tools, and missing cleanup commands that typically add 50-200MB of bloat per image.

Does it support multi-stage builds?

It identifies improper multi-stage usage, such as unused stages or failing to copy artifacts correctly, and suggests the optimal structure for smaller runtime images.

Docker Antipattern Detector

Name: Docker Antipattern Detector
Author: dykyi-roman

bydykyi-roman

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Despliegue y DevOps

Analyzes Dockerfiles to identify and resolve common antipatterns that cause bloated images, poor caching, and unreliable builds.

This skill serves as a specialized linter and optimization guide for Docker environments, specifically tailored to identify issues in PHP and general-purpose container configurations. It scans Dockerfiles and project structures to detect 11 critical antipatterns, such as improper layer ordering, missing .dockerignore files, and non-deterministic tags. By providing severity-ranked feedback and actionable code fixes, it helps developers significantly reduce image sizes, speed up CI/CD pipelines through optimized cache utilization, and improve the overall security and reliability of containerized applications.

Características Principales

01Detects image bloat caused by uncleaned package caches and development tools

0245 GitHub stars

03Provides severity-ranked reports with specific 'Good' vs. 'Bad' code examples

04Identifies cache-busting layer ordering for dependency management

05Verifies the presence and configuration of .dockerignore files

06Highlights reliability issues like using the 'latest' tag or improper signal handling

Casos de Uso

01Optimizing slow CI/CD build times by improving Docker layer caching strategy

02Reducing production image sizes for faster deployment and lower storage costs

03Auditing legacy Dockerfiles for security smells and non-deterministic build configurations

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dykyi-roman/awesome-claude-code detect-docker-antipatterns

For use in Claude.ai and ChatGPT

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