Using PyTorch Engineering

Overview

This meta-skill routes you to the right PyTorch specialist based on symptoms. PyTorch engineering problems fall into distinct categories that require specialized knowledge. Load this skill when you encounter PyTorch-specific issues but aren't sure which specialized skill to use.

Core Principle: Different PyTorch problems require different specialists. Match symptoms to the appropriate specialist skill. Don't guess at solutions—route to the expert.

When to Use

Load this skill when:

• Working with PyTorch and encountering problems
• User mentions: "PyTorch", "torch", "CUDA", "GPU", "distributed training"
• Need to implement PyTorch models or optimize performance
• Debugging PyTorch training issues
• Setting up production PyTorch infrastructure

Don't use for: Framework-agnostic ML theory, non-PyTorch frameworks, algorithm selection (use training-optimization or other packs)