using-pytorch-engineering
Routes to appropriate PyTorch specialist skill based on symptoms and problem type
npx skills add majiayu000/claude-skill-registry --skill using-pytorch-engineering --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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) --- ## How to Access Reference Sheets **IMPORTANT**: All reference sheets are located in the SAME DIRECTORY as this SKILL.md file. When this skill is loaded from: `skills/using-pytorch-engineering/SKILL.md` Reference sheets like `tensor-operations-and-memory.md` ar
- Overview
- When to Use
- How to Access Reference Sheets
- Routing by Symptom
- Memory Issues
- Module and Model Design
- Distributed Training Setup
- Performance and Speed
- Mixed Precision and Optimization
- Training Instability and NaN
- Checkpointing and State Management
- Custom Operations and Autograd
- Cross-Cutting Scenarios
- Multiple Skills Needed
What does the using-pytorch-engineering skill do?
Routes to appropriate PyTorch specialist skill based on symptoms and problem type
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill using-pytorch-engineering --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.