How much can this skill reduce my container image size?

Reduction varies by language; typically Node.js and Python see 80-90% reduction, while compiled languages like Go and Rust can see over 99% reduction by using 'scratch' base images.

Which programming languages are supported by this skill?

The skill provides optimized multi-stage patterns for Node.js, Python, Go, Rust, and Java (OpenJDK/JRE).

What is the primary benefit of a multi-stage Docker build?

Multi-stage builds allow you to use multiple FROM statements in one Dockerfile, enabling you to build your app in a heavyweight environment and copy only the necessary artifacts into a minimal production image.

Does this skill support security-focused images like Distroless?

Yes, it includes specific patterns for Google's Distroless images, which contain only your application and its dependencies, removing shells and other tools that increase the attack surface.

Docker Multi-Stage Optimizer

Name: Docker Multi-Stage Optimizer
Author: pluginagentmarketplace

bypluginagentmarketplace

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Deployment & DevOps

Optimizes production Docker images using multi-stage build patterns to significantly reduce size and improve security.

About

This skill empowers Claude to architect high-performance Docker multi-stage builds that follow 2024-2025 industry best practices. By separating build-time dependencies from the final runtime environment, it helps developers reduce image sizes by 50-99% while minimizing the attack surface. It provides ready-to-use patterns for Node.js, Python, Go, Rust, and Java, incorporating advanced techniques like Distroless images, static linking, and non-root user configurations to ensure your containers are production-ready and cost-effective.

Key Features

Implements minimal base images including Alpine, Distroless, and Scratch
Provides automated troubleshooting and size comparison metrics for container optimization
Generates language-specific Dockerfile templates for Node, Python, Go, Rust, and Java
Separates build-time dependencies from runtime artifacts to decrease deployment overhead
Enforces security best practices such as non-root users and minimal package installation
1 GitHub stars

Use Cases

Hardening production containers by removing unnecessary shells, package managers, and source code
Standardizing containerization patterns across diverse polyglot microservices
Reducing CI/CD pipeline duration and storage costs by shrinking container images

About

Key Features

Implements minimal base images including Alpine, Distroless, and Scratch
Provides automated troubleshooting and size comparison metrics for container optimization
Generates language-specific Dockerfile templates for Node, Python, Go, Rust, and Java
Separates build-time dependencies from runtime artifacts to decrease deployment overhead
Enforces security best practices such as non-root users and minimal package installation
1 GitHub stars

Use Cases

Hardening production containers by removing unnecessary shells, package managers, and source code
Standardizing containerization patterns across diverse polyglot microservices
Reducing CI/CD pipeline duration and storage costs by shrinking container images