ml-engineering

Name: ml-engineering
Author: eyadsibai/ltk

About ml-engineering

Use when "deploying ML models", "MLOps", "model serving", "feature stores", "model monitoring", or asking about "PyTorch deployment", "TensorFlow production", "RAG systems", "LLM integration", "ML infrastructure"

Install

Copy the command and run it in a terminal.

$npx skills add https://eyadsibai/ltk --skill ml-engineering

After installing, type/ml-engineeringin Claude Code to confirm it loaded.

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Details

Author: eyadsibai/ltk
Category: Cloud & DevOps
Installs: 66

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