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

•

部署与 DevOps

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

关于

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.

主要功能

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

使用场景

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

关于

主要功能

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

使用场景

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