Skills
.Work. You
Rest

MLOps Industrialization

Community

Turn prototypes into robust Python packages.

Software Engineering#MLOps#packaging#Pydantic#Python#config management#src layout#OmegaConf
Authorfmind
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps teams transform experimental code (notebooks/scripts) into robust, distributable Python packages using a standardized src layout and strict configuration management.

Core Features & Use Cases

  • src layout enforcement: ensures source is contained under src/ to avoid import errors.
  • Hybrid Paradigm: balances domain logic (pure) with an I/O layer (impure) and an orchestration layer.
  • Configuration management: uses OmegaConf and Pydantic to decouple config from code and validate inputs.
  • CLI entrypoints: defines installable CLI tools via pyproject.toml and [project.scripts].
  • Use Case: packaging a prototype into a distributable Python package ready for CI/CD and deployment.

Quick Start

Create a minimal project structure with a pyproject.toml and a src/ package, then run the packaging workflow to produce a distributable package.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: MLOps Industrialization
Download link: https://github.com/fmind/mlops-python-package/archive/main.zip#mlops-industrialization

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
View Source Repository

Agent Skills Search Helper

Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.