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PyTorch Lightning Assistant

Organizes PyTorch code into LightningModules, Trainers and DataModules, with multi-GPU strategies and experiment logging.

Dev & CodingIntermediate★ 33,030⑂ 3,248AI score 9/10Last updated: Aug 9, 2026

What it does

  • Refactors raw PyTorch code into a LightningModule with six clear sections (init, training/validation/test steps, predict, optimizers).
  • Configures the Trainer: multi-GPU/TPU, mixed precision, gradient accumulation and clipping, checkpointing, early stopping.
  • Encapsulates data pipelines in a LightningDataModule and wires up W&B, TensorBoard, MLflow or CSV loggers.
  • Recommends distributed strategies by model size: DDP (<500M params), FSDP (500M+), DeepSpeed for fine-grained control.
  • Ships runnable templates plus per-component reference docs the assistant reads on demand.

Who it's for

  • ML engineers cutting boilerplate out of hand-written PyTorch training loops.
  • Researchers scaling single-GPU experiments to multiple GPUs or nodes.
  • Teams standardizing experiment tracking and checkpoint policies.

Example uses

  1. "Port the epoch loop in train.py to a LightningModule" → clean model/step separation.
  2. "How do I train a 1.3B-param model on 4 GPUs?" → FSDP strategy with Trainer args and precision settings.
  3. "Keep the best checkpoint by val_loss and stop after 5 stagnant epochs" → ModelCheckpoint + EarlyStopping code.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/HEAD/skills/pytorch-lightning/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download 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.

  1. Open a terminal.
  2. Clone the repo: git clone https://github.com/K-Dense-AI/scientific-agent-skills.git
  3. Create the skills folder: mkdir -p ~/.claude/skills
  4. Copy just this skill: cp -r scientific-agent-skills/skills/pytorch-lightning ~/.claude/skills/
  5. Install the library in your Python env: pip install lightning (optionally pip install wandb mlflow).
  6. Restart Claude Code and ask something like "restructure my training script with PyTorch Lightning" to trigger the skill.
View source on GitHub ↗License: MIT