Fix descriptions to adhere to character limits

This commit is contained in:
Timothy Kassis
2025-10-21 09:33:30 -07:00
parent 163d6b9d6b
commit 32109101d0
83 changed files with 83 additions and 83 deletions

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@@ -1,6 +1,6 @@
---
name: pytorch-lightning
description: "PyTorch Lightning deep learning framework skill for organizing PyTorch code and automating training workflows. Use this skill for: creating LightningModules with training_step/validation_step hooks, implementing DataModules for data loading and preprocessing, configuring Trainer with accelerators/devices/strategies, setting up distributed training (DDP/FSDP/DeepSpeed), implementing callbacks (ModelCheckpoint/EarlyStopping), configuring loggers (TensorBoard/WandB/MLflow), converting PyTorch code to Lightning format, optimizing performance with mixed precision/gradient accumulation, debugging with fast_dev_run/overfit_batches, checkpointing and resuming training, hyperparameter tuning with Tuner, handling multi-GPU/multi-node training, memory optimization for large models, experiment tracking and reproducibility, custom training loops, validation/testing workflows, prediction pipelines, and production deployment. Includes templates, API references, distributed training guides, and best practices for efficient deep learning development."
description: "PyTorch training framework. LightningModule, Trainer, distributed training (DDP/FSDP), callbacks, loggers (TensorBoard/WandB), mixed precision, for organized deep learning workflows."
---
# PyTorch Lightning