ai-factory.dockerize

Generate multi-stage Dockerfiles and Compose configurations with security hardening.

Updated Apr 6, 2026
One-click install
npx skills add https://github.com/YaroslavKomarov/ShedulerBot --skill ai-factory-dockerize-yaroslavkomarov
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-factory.dockerize
Source: https://github.com/YaroslavKomarov/ShedulerBot/tree/main/.claude/skills/dockerize
Command: npx skills add https://github.com/YaroslavKomarov/ShedulerBot --skill ai-factory-dockerize-yaroslavkomarov

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Dockerization of projects is time-consuming and error-prone; this skill automates the creation of a complete Docker configuration stack to standardize and accelerate setup, reducing misconfigurations and manual work.

Core Features & Use Cases

  • Template-driven generation of a multi-stage Dockerfile and base/dev/prod Compose files tailored to the project.
  • Built-in security hardening, including read-only filesystems, non-root users, and network isolation, plus deployment scripts for production.
  • Environment management via .env and env_file usage, with optional reverse proxy integration (Angie preferred) for production readiness.
  • On-demand support for integrating common infrastructure services (DB, cache, queues) based on project needs.

Quick Start

Run the dockerize skill on a project to generate a complete Docker configuration and begin a secure development workflow.

Frequently Asked Questions about ai-factory.dockerize

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

FAQPage Schema
How do I auto-generate a production-ready multi-stage Dockerfile for my project?

To auto-generate a production-ready multi-stage Dockerfile, this skill template-drives the creation of Docker configurations tailored to your project, applying pinned base images, health checks, and standardized environment management for reproducible builds.

What is the best way to secure Docker Compose files for a production environment?

The best way to secure Docker Compose for production is by applying a hardened overlay that enforces read-only filesystems, non-root users, and network isolation, which this skill generates automatically alongside your dev and prod configurations.

How do I set up separate Docker Compose configurations for development and production?

You set up separate Docker Compose configurations by generating distinct base, development, and production Compose files, allowing your project to maintain reproducible dev environments while satisfying hardened production deployment practices.

Can I integrate infrastructure services like databases and caches when dockerizing a project?

Yes, you can integrate common infrastructure services like databases, caches, and queues when dockerizing a project, as the skill provides on-demand support to include these components based on your specific project needs.

Does the generated Docker configuration support reverse proxy integration for production?

Yes, the generated Docker configuration supports reverse proxy integration for production readiness, with an optional preference for Angie, alongside automated environment management via .env and env_file usage.

Why should I automate Dockerization instead of writing Dockerfiles manually?

You should automate Dockerization to reduce the time-consuming and error-prone nature of manual setup, standardizing your complete Docker configuration stack to eliminate misconfigurations and accelerate secure deployment workflows.