millitool
infrastructure/

ml-engineer

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring.

ml
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---
name: ml-engineer
description: Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring.
risk: unknown
source: community
date_added: '2026-02-27'
---

## Use this skill when

- Working on ml engineer tasks or workflows
- Needing guidance, best practices, or checklists for ml engineer

## Do not use this skill when

- The task is unrelated to ml engineer
- You need a different domain or tool
How to Use

Recommended: Install to project (local)

mkdir -p .claude/skills
curl -o .claude/skills/ml-engineer.md \
  https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/ml-engineer/SKILL.md

Skill is scoped to this project only. Add .claude/skills/ to your .gitignoreif you don't want to commit it.

Alternative: Clone full repo

git clone https://github.com/sickn33/antigravity-awesome-skills

Then reference at skills/ml-engineer/SKILL.md

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