refactor:pytorch
Refactor PyTorch code to improve maintainability, readability, and adherence to best practices. Identifies and fixes DRY violations, long functions, deep nesting, SRP violations, and opportunities for modular components. Applies PyTorch 2.x patterns including torch.compile optimization, Automatic Mixed Precision (AMP), optimized DataLoader configuration, modular nn.Module design, gradient checkpointing, CUDA memory management, PyTorch Lightning integration, custom Dataset classes, model factory patterns, weight initialization, and reproducibility patterns.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install snakeo-claude-debug-and-refactor-skills-plugin-refactor-pytorch
Repository
Skill path: plugins/debug-and-refactor/skills/refactor-pytorch
Refactor PyTorch code to improve maintainability, readability, and adherence to best practices. Identifies and fixes DRY violations, long functions, deep nesting, SRP violations, and opportunities for modular components. Applies PyTorch 2.x patterns including torch.compile optimization, Automatic Mixed Precision (AMP), optimized DataLoader configuration, modular nn.Module design, gradient checkpointing, CUDA memory management, PyTorch Lightning integration, custom Dataset classes, model factory patterns, weight initialization, and reproducibility patterns.
Open repositoryBest for
Primary workflow: Design Product.
Technical facets: Full Stack, Designer, Integration.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: snakeo.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install refactor:pytorch into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/snakeo/claude-debug-and-refactor-skills-plugin before adding refactor:pytorch to shared team environments
- Use refactor:pytorch for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.