PyTorch Lightning Assistant
Restructures PyTorch code into LightningModules and configures multi-GPU training, logging, and checkpointing.
What it does
Turns messy PyTorch training loops into clean PyTorch Lightning code: LightningModule (training/validation/test/predict steps), LightningDataModule (data pipeline) and Trainer (multi-GPU/TPU, mixed precision, gradient accumulation/clipping). It also covers callbacks such as ModelCheckpoint, EarlyStopping and LearningRateMonitor, logger integrations for W&B, TensorBoard, MLflow, CSV, and picking between DDP, FSDP and DeepSpeed for distributed training. The skill ships with copy-ready template scripts and per-component reference docs.
Who it's for
- Deep learning engineers and researchers with sprawling training scripts
- Anyone scaling from a single GPU to multi-GPU or multi-node setups
- ML teams standardizing experiment logging and reproducibility
- Developers refactoring research prototypes into production-grade projects
Examples
- "Refactor my manual training loop in train.py into a LightningModule" → get a structured module with
training_step,validation_step, andconfigure_optimizers. - "What strategy should I use to train a 7B model on 4 GPUs?" → an FSDP-based Trainer configuration with checkpointing guidance.
- "Add W&B logging, early stopping, and best-model checkpointing" → complete Trainer code with the right logger and callback stack.
· · · Install guide · · ·
Install in the Claude app (no terminal)
- Download the ZIP with the button below.
- In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
- Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
Install in Claude Code
Let Claude do it — paste this into Claude Code
Install the skill I found on Claude Skill Mart. Copy the skills/pytorch-lightning folder from the GitHub repo K-Dense-AI/scientific-agent-skills into my ~/.claude/skills/pytorch-lightning/. When it's done, tell me in one line what this skill can do.
Install with a command instead
git clone https://github.com/K-Dense-AI/scientific-agent-skills.git /tmp/sas && mkdir -p ~/.claude/skills && cp -r /tmp/sas/skills/pytorch-lightning ~/.claude/skills/⚠ This is a third-party skill. Check the source repository before installing.
- Open a terminal.
- Clone the repository:
git clone https://github.com/K-Dense-AI/scientific-agent-skills.git - Create the skills folder:
mkdir -p ~/.claude/skills - Copy just this skill:
cp -r scientific-agent-skills/skills/pytorch-lightning ~/.claude/skills/ - Install the library:
pip install lightning(install a CUDA-enabled PyTorch build first if you plan to train on GPU). - Restart Claude Code and ask something like "write a PyTorch Lightning training script" to trigger the skill.