Pytorch Lightning

If you're training neural networks with PyTorch and tired of writing the same device management and training loop boilerplate, this organizes your code into LightningModules and handles the plumbing. You get automated multi-GPU training (DDP, FSDP, DeepSpeed), mixed precision, callbacks for checkpointing and early stopping, and logger integrations for W&B, MLflow, and TensorBoard. The skill includes actual templates for modules and data pipelines, plus detailed references on distributed strategies. It's opinionated about structure but stays out of your model architecture. Works best when you need to scale training across devices or want experiment tracking without reinventing configuration code every project.

Install to Claude Code

npx -y skills add k-dense-ai/scientific-agent-skills --skill pytorch-lightning --agent claude-code