# clean-ml-engineering

> clean-ml-engineering — georgioslymperis-clean-ml-engineering. Use this tool when you need to improve the quality and maintainability of your machine learning code by applying clean code principles and design patterns. It provides Jupyter notebooks with real-world examples of anti-patterns and their refactored solutions, serving as a reference for best practices in ML engineering. Ideal for use during coding sessions, it offers a git-integrated MCP server for easy access to exercises and solutions.

Canonical page: https://skillsregistry.net/skills/georgioslymperis-clean-ml-engineering  
JSON: https://api.skillsregistry.net/v1/skills/georgioslymperis-clean-ml-engineering

## Description

Jupyter notebooks applying clean code and design patterns to ML engineering. Each notebook shows an anti-pattern and its refactored solution. Ships as an MCP server so Claude can reference the exercises while you code.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/GeorgiosLymperis/clean-ml-engineering)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "georgioslymperis-clean-ml-engineering"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/georgioslymperis-clean-ml-engineering` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/georgioslymperis-clean-ml-engineering/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt