Does it start the containers for me?

No, it focuses on generating high-quality configuration files. Building images and starting containers is handled by the user or separate deployment workflows.

Can it auto-detect project settings?

Yes, it scans package.json, .csproj, and requirements.txt to detect versions, entry points, and ports automatically.

Is it suitable for production use?

Absolutely. It uses multi-stage builds to reduce image size and pins base images to specific versions to ensure build reproducibility.

Does it follow security best practices?

Yes, it implements non-root users (UID 1001), uses minimal Alpine/slim images, and automatically generates .dockerignore to exclude sensitive files.

What frameworks does this skill support?

It currently supports React/Vite for frontend, .NET 8/9, and Python (FastAPI/Django) for backend services.

Docker Environment Generator

Name: Docker Environment Generator
Author: levnikolaevich

bylevnikolaevich

•

Despliegue y DevOps

Generates production-ready, multi-container Docker and Docker Compose configurations for modern web stacks.

Acerca de

The ln-731-docker-generator is a specialized Claude Code skill designed to automate the creation of secure, optimized container environments. It handles complex multi-stage Dockerfiles and service orchestration via docker-compose for Frontend (Vite/React), .NET, and Python applications. By enforcing industry best practices—such as non-root user execution, health checks, and pinned base image versions—it ensures that development environments are consistent, secure, and ready for deployment without the manual overhead of writing configuration files from scratch.

Características Principales

Automated generation of multi-stage Dockerfiles for Frontend, .NET, and Python
Intelligent auto-detection of framework versions and project dependencies
Production-ready service orchestration with docker-compose.yml
38 GitHub stars
Integrated Nginx configuration for SPA routing and API proxying
Security-first configurations including non-root users and minimal image variants

Casos de Uso

Creating secure, optimized Docker images for CI/CD pipelines
Standardizing containerization across multiple microservices
Bootstrapping local development environments for full-stack applications

Acerca de

Características Principales

Automated generation of multi-stage Dockerfiles for Frontend, .NET, and Python
Intelligent auto-detection of framework versions and project dependencies
Production-ready service orchestration with docker-compose.yml
38 GitHub stars
Integrated Nginx configuration for SPA routing and API proxying
Security-first configurations including non-root users and minimal image variants

Casos de Uso

Creating secure, optimized Docker images for CI/CD pipelines
Standardizing containerization across multiple microservices
Bootstrapping local development environments for full-stack applications