Does this skill support multi-stage builds?

Yes, it prioritizes multi-stage builds to separate build-time dependencies from the final runtime image, significantly reducing image size and attack surface.

Will it help with Docker Compose performance?

Yes, it optimizes service definitions, implements proper health checks, sets resource limits, and configures internal network segmentation.

Can it fix security vulnerabilities in my Dockerfiles?

Absolutely. It automatically identifies and fixes anti-patterns like running as root, using the latest tag, and exposing hardcoded secrets.

Does it follow 2025 industry standards?

Yes, the skill is updated with 2025 standards, including pinning images by SHA digests for supply chain security and using Distroless images where appropriate.

Docker Refactoring & Optimization

Name: Docker Refactoring & Optimization
Author: SnakeO

bySnakeO

Deployment & DevOps

Transforms legacy Docker configurations into secure, high-performance, and production-ready containers following 2025 best practices.

About

This skill serves as an elite DevOps consultant within Claude, designed to audit and upgrade container infrastructure. It automates the transition from bloated, insecure images to lean, multi-stage builds while enforcing rigorous security protocols such as non-root execution, secret management, and network segmentation. By applying advanced layer caching and pinning image versions to specific digests, it ensures your Dockerfiles and Docker Compose configurations are optimized for speed, reproducibility, and supply chain security.

Key Features

Layer optimization for faster build times and efficient caching
Docker Compose optimization including resource limits and network segmentation
Implementation of multi-stage builds for minimal runtime image sizes
Security hardening via non-root user configuration and secret management
0 GitHub stars
Integration of robust health checks and proper signal handling with Tini

Use Cases

Converting development docker-compose files into production-ready deployment configurations
Upgrading legacy Dockerfiles to reduce vulnerability surfaces and image bloat
Hardening container security through pinned digests and minimal base image migration

About

Key Features

Layer optimization for faster build times and efficient caching
Docker Compose optimization including resource limits and network segmentation
Implementation of multi-stage builds for minimal runtime image sizes
Security hardening via non-root user configuration and secret management
0 GitHub stars
Integration of robust health checks and proper signal handling with Tini

Use Cases

Converting development docker-compose files into production-ready deployment configurations
Upgrading legacy Dockerfiles to reduce vulnerability surfaces and image bloat
Hardening container security through pinned digests and minimal base image migration