High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.
8.7
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0
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Machine Learning
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Excellent PyTorch Lightning skill with comprehensive coverage of the framework's core capabilities. The description clearly conveys when to use Lightning (clean training loops, distributed training, minimal boilerplate), enabling a CLI agent to make informed invocation decisions. Task knowledge is outstanding with 5 practical workflows covering the full spectrum from basic conversion to distributed training and callbacks, all with working code examples. Structure is very good—SKILL.md provides a complete overview with clear sections while appropriately delegating advanced topics (callbacks, distributed strategies, hyperparameter tuning) to referenced files. Novelty is strong: Lightning significantly reduces the token cost and complexity of implementing production-ready training loops, distributed training, and monitoring compared to raw PyTorch. Minor improvement opportunity: could slightly expand the 'When to use vs alternatives' section with more specific decision criteria. Overall, this is a well-crafted, highly useful skill that would meaningfully assist both CLI agents and human developers.
davila7
Skill Author
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