docker-patterns

Automate multi-stage Dockerfiles and docker-compose configurations for Python projects.

46|8|Updated Mar 25, 2026

Search Tags:#security #python #patterns #containerization #docker #docker-compose

Ready to run

npx skills add https://github.com/manikosto/claude-code-python-stack --skill docker-patterns-manikosto

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: docker-patterns
Source: https://github.com/manikosto/claude-code-python-stack/tree/main/skills/docker-patterns
Command: npx skills add https://github.com/manikosto/claude-code-python-stack --skill docker-patterns-manikosto

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Docker and Docker Compose patterns help teams dockerize Python apps, standardize local and multi-service environments, and improve security.

Core Features & Use Cases

Multi-stage Dockerfile patterns to produce lean images for Python projects.
Docker Compose configurations that scaffold local development with services like db, redis, and workers.
Security hardening patterns such as non-root user, read-only filesystem concepts, and minimal privileges.
Use Case: Rapidly containerize a Django or FastAPI stack for development, testing, and deployment.

Quick Start

Initialize the docker-patterns in your Python project and start the local stack with docker-compose up.

Frequently Asked Questions about docker-patterns

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

FAQPage Schema

How do I create a multi-stage Dockerfile for a Python project?▼

A multi-stage Dockerfile for a Python project separates the build environment from the final runtime image to produce lean, optimized containers. This pattern reduces image size by compiling dependencies in an initial stage and copying only the necessary artifacts to the final stage.

What is the best way to configure docker-compose for local Python development?▼

Configuring docker-compose for local Python development involves scaffolding multi-service environments with databases, Redis, and background workers. This approach standardizes local development by orchestrating your application alongside its required dependencies in a single configuration file.

How do I apply security hardening patterns to Python containers?▼

Security hardening patterns for Python containers apply minimal privileges by configuring non-root users and implementing read-only filesystem concepts. These practices restrict container permissions to protect the application and reduce the attack surface of the deployment.

Can I use these Docker patterns to containerize a Django or FastAPI stack?▼

Yes, you can use these Docker patterns to rapidly containerize a Django or FastAPI stack. The patterns support scaffolding the entire application environment for local development, testing, and deployment using multi-stage builds and docker-compose configurations.

What does a non-root user configuration do in Docker container security?▼

A non-root user configuration in Docker container security restricts the container process from executing with administrative privileges. Implementing this pattern ensures that if the container is compromised, the attacker has limited permissions and cannot easily escalate access.