deploy-docker

Automate Docker deployment of Python applications with multi-stage builds and dev/prod compose files.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/nguynbon03/API-XuongMedia-Backup --skill deploy-docker-nguynbon03
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deploy-docker
Source: https://github.com/nguynbon03/API-XuongMedia-Backup/tree/main/.claude/skills/deploy-docker
Command: npx skills add https://github.com/nguynbon03/API-XuongMedia-Backup --skill deploy-docker-nguynbon03

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Deploying Python applications consistently across local and production environments can be error-prone and time-consuming. This Skill provides a Docker-based packaging and deployment workflow, including multi-stage builds and separate development/production configurations, so you can ship reliably.

Core Features & Use Cases

  • Multi-stage Dockerfile for slim, secure images
  • Separate dev/prod docker-compose configurations with healthchecks and non-root user
  • Clear reference implementations: Dockerfile, docker-compose.dev.yml, docker-compose.prod.yml, and environment templates for safe deployment

Quick Start

Run the local development workflow by starting the app with the dev compose file and validate locally before pushing to production.

Frequently Asked Questions about deploy-docker

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 app?

A multi-stage Dockerfile for a Python app separates the build environment from the final runtime image to keep it slim. This Skill generates Dockerfiles using multi-stage builds to create secure, optimized containers for production deployment.

How do I configure docker-compose for separate dev and prod environments?

Configuring docker-compose for separate dev and prod environments involves using distinct compose files with environment-specific settings. This Skill provides docker-compose.dev.yml and docker-compose.prod.yml files with tailored healthchecks and non-root user configurations.

Do I need a non-root user and healthchecks in my Docker deployment?

A non-root user and healthchecks are required for secure Docker deployments. This Skill enforces these constraints by configuring docker-compose files with non-root users and healthchecks to ensure safe and reliable Python application deployments.

What's the best way to validate a Python Docker container locally before production?

Validating a Python Docker container locally before production requires running the app with a development compose file. This Skill automates local validation using docker-compose.dev.yml to test configurations safely before pushing to production.

How does containerization solve inconsistent Python deployment environments?

Containerization solves inconsistent Python deployment environments by packaging the application and its dependencies into a single, standardized unit. This Skill uses Docker to provide a consistent packaging workflow, eliminating errors across local and production environments.