docker-rocker

Generate multi-stage Dockerfiles for FastAPI projects with UV package manager.

1|1|Updated Jan 6, 2026

Search Tags:#devops #fastapi #containerization #docker #dockerfile #docker-compose

Ready to run

npx skills add https://github.com/alijilani-dev/Claude --skill docker-rocker

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: docker-rocker
Source: https://github.com/alijilani-dev/Claude/tree/main/skills/docker-rocker
Command: npx skills add https://github.com/alijilani-dev/Claude --skill docker-rocker

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the creation of production-grade Docker containers for FastAPI applications, ensuring optimized performance, minimal image size, and secure deployment practices.

Core Features & Use Cases

Multi-Stage Builds: Creates lean production images by separating build dependencies from runtime.
UV Package Manager: Leverages UV for significantly faster dependency installation.
Security Best Practices: Implements non-root users and other hardening techniques.
Use Case: You have a FastAPI application and need to create a Dockerfile and docker-compose setup for deploying it to a production server, ensuring it's efficient and secure.

Quick Start

Use the docker-rocker skill to create a production Dockerfile for your FastAPI application.

Frequently Asked Questions about docker-rocker

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I dockerize a FastAPI application for production?▼

Dockerizing a FastAPI application for production is automated by generating multi-stage Docker builds, integrating the UV package manager, and configuring docker-compose to ensure optimized performance and minimal image size.

What is the best way to reduce Docker image size for FastAPI projects?▼

Reducing Docker image size for FastAPI projects is achieved through multi-stage builds that separate build dependencies from runtime environments, leveraging UV for faster dependency installation, and applying security hardening like non-root users.

Does this Docker setup work with Pytest, SQLModel, and Pydantic projects?▼

Yes, the automated Docker container generation explicitly supports FastAPI projects that utilize Pytest, SQLModel, and Pydantic, ensuring compatible production-grade builds and CI/CD pipeline setups.

How do I set up a CI/CD pipeline for containerized FastAPI web APIs?▼

Setting up a CI/CD pipeline for containerized FastAPI web APIs is facilitated by the generated Docker configurations, which streamline automated deployments to production servers with secure and optimized containers.

Why use UV package manager in Docker builds for FastAPI?▼

Using the UV package manager in Docker builds significantly accelerates dependency installation for FastAPI applications, contributing to faster build times and more efficient production image creation.

Can I automate Dockerfile creation for FastAPI without manual configuration?▼

Yes, you can automate Dockerfile and docker-compose creation for FastAPI applications, generating production-grade container configurations with multi-stage builds and security best practices without extensive manual setup.