Which programming languages are supported?

The generator supports Node.js (including Next.js), Python (Flask/Django), Go, Java (Spring Boot), Ruby (Rails), Rust, PHP (Laravel), and .NET.

How does it optimize Docker image size?

It uses multi-stage builds to separate the build environment from the runtime environment and defaults to lightweight Alpine or Slim base images.

Can I generate a Docker Compose file with this skill?

Yes, the skill can generate a docker-compose.yml file to orchestrate your application along with its database or other dependencies.

Does the skill handle security configurations?

Yes, it implements security best practices such as creating non-root users, pinning specific image versions, and excluding sensitive files via .dockerignore.

Dockerfile Generator

Name: Dockerfile Generator
Author: Dexploarer

byDexploarer

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Deployment & DevOps

Generates optimized, production-ready Dockerfiles with multi-stage builds and security best practices for various programming languages.

About

The Dockerfile Generator is a specialized skill designed to streamline the containerization process by creating high-performance, secure Docker configurations. It automatically detects your project's language and framework to generate tailored Dockerfiles that utilize multi-stage builds, layer caching, and minimal base images like Alpine or Slim. Beyond basic setup, the skill implements critical production standards such as non-root user execution, version pinning, and the creation of .dockerignore files to ensure your images are lean, fast to build, and secure by default.

Key Features

Automatic .dockerignore and optional docker-compose.yml generation
Production-grade multi-stage build generation to minimize image size
Integrated security best practices including non-root user configuration
Layer caching optimization for significantly faster build times
2 GitHub stars
Automatic language and framework detection for Node.js, Python, Go, Java, and more

Use Cases

Containerizing a legacy application for modern cloud deployment
Optimizing bloated Docker images to reduce storage and registry costs
Standardizing container setups across a microservices architecture

About

Key Features

Automatic .dockerignore and optional docker-compose.yml generation
Production-grade multi-stage build generation to minimize image size
Integrated security best practices including non-root user configuration
Layer caching optimization for significantly faster build times
2 GitHub stars
Automatic language and framework detection for Node.js, Python, Go, Java, and more

Use Cases

Containerizing a legacy application for modern cloud deployment
Optimizing bloated Docker images to reduce storage and registry costs
Standardizing container setups across a microservices architecture