Can Docker Rocker manage Kubernetes deployments?

No, this skill focuses specifically on Docker containerization and Docker Compose. For Kubernetes orchestration, you should use a dedicated K8s skill.

How does this skill improve build performance?

It leverages the UV package manager for rapid dependency resolution and implements strategic layer caching to ensure that only modified sections of your app are rebuilt.

Does this skill support package managers other than UV?

Yes, while Docker Rocker recommends the UV package manager for maximum speed, it is compatible with Pip and Poetry based on your existing project configuration.

Are the generated images secure for production use?

Yes, the skill enforces production best practices including multi-stage builds to remove build-time dependencies and the use of non-root users for runtime security.

Docker Rocker

Name: Docker Rocker
Author: alijilani-dev

byalijilani-dev

部署与 DevOps

Automates the creation of production-grade, multi-stage Docker configurations for FastAPI projects using the UV package manager and performance best practices.

关于

Docker Rocker is a specialized skill designed to streamline the containerization of Python-based web APIs, specifically those built with FastAPI, SQLModel, and Pydantic. It generates optimized multi-stage Dockerfiles that reduce image size, accelerate build times via the UV package manager, and implement robust security practices like non-root user execution. This skill is ideal for developers transitioning from local development to production-ready environments, CI/CD pipelines, or high-performance cloud architectures where container efficiency and security are paramount.

主要功能

Automated security hardening with non-root user configurations
0 GitHub stars
Multi-stage Dockerfile generation for production, testing, and development
UV package manager integration for up to 70% faster dependency installation
Optimized layer caching to minimize rebuild times
Pre-configured SQLModel and Neon database connection patterns

使用场景

Deploying high-performance FastAPI backends to production with minimal image footprints
Setting up automated CI/CD pipelines for containerized Python API testing
Optimizing local development workflows with hot-reloading and Docker Compose

关于

主要功能

Automated security hardening with non-root user configurations
0 GitHub stars
Multi-stage Dockerfile generation for production, testing, and development
UV package manager integration for up to 70% faster dependency installation
Optimized layer caching to minimize rebuild times
Pre-configured SQLModel and Neon database connection patterns

使用场景

Deploying high-performance FastAPI backends to production with minimal image footprints
Setting up automated CI/CD pipelines for containerized Python API testing
Optimizing local development workflows with hot-reloading and Docker Compose