How does this skill improve container security?

It enforces the use of non-root users, recommends distroless base images to reduce attack surface, and integrates vulnerability scanning workflows.

Can this skill help reduce my Docker image size?

Yes, by utilizing multi-stage builds and removing build-time dependencies, it can often reduce image sizes by over 90%.

What languages does the Dockerfile skill support?

While the optimization principles apply to all images, it provides specific, optimized patterns for Go, Node.js, and Python applications.

Does it provide linting for Dockerfiles?

Yes, it includes guidance on using Hadolint to perform static analysis and ensure your Dockerfiles follow official best practices.

Docker Container Optimization

Name: Docker Container Optimization
Author: sumik5

bysumik5

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Deployment & DevOps

Guides the creation and optimization of production-grade Dockerfiles using multi-stage builds and security hardening best practices.

About

This skill empowers Claude to act as a DevOps expert, specializing in the creation of efficient, secure, and minimal Docker images. It provides domain-specific patterns for multi-stage builds across various environments like Go, Node.js, and Python, ensuring that final images are as small as possible. Beyond simple image creation, the skill focuses on layer cache optimization to speed up CI/CD pipelines, security best practices like non-root user execution and distroless base images, and integration with auditing tools like Hadolint and Docker Scout.

Key Features

Layer cache optimization to minimize build times
Security hardening using non-root users and distroless base images
Integration guidance for Hadolint linting and Docker Scout vulnerability scanning
Standardized .dockerignore generation to exclude unnecessary files
1 GitHub stars
Automated multi-stage build implementation for Go, Node.js, and Python

Use Cases

Setting up optimized CI/CD pipelines for container deployment
Refactoring existing Dockerfiles to reduce image size and improve security
Containerizing a new application from scratch with production-ready standards

About

Key Features

Layer cache optimization to minimize build times
Security hardening using non-root users and distroless base images
Integration guidance for Hadolint linting and Docker Scout vulnerability scanning
Standardized .dockerignore generation to exclude unnecessary files
1 GitHub stars
Automated multi-stage build implementation for Go, Node.js, and Python

Use Cases

Setting up optimized CI/CD pipelines for container deployment
Refactoring existing Dockerfiles to reduce image size and improve security
Containerizing a new application from scratch with production-ready standards