HuggingFace Transformers integration for PerforatedAI. Handles the Trainer-specific differences: using_perforatedai=True, GPA.metric, eval_strategy. Use when the user's script uses HuggingFace Trainer.
Expert in PerforatedAI library for adding artificial dendrites to PyTorch neural networks. Triggers: 'Perforate my model' (start interactive setup), 'debug my perforated model' (debug/optimize existing integration), 'load my perforated model for inference'…
Multi-GPU setup for PerforatedAI with DataParallel or DistributedDataParallel (DDP). Invoked automatically by the perforatedai skill when multi-GPU training is detected. Handles initialization workflow, checkpoint loading, rank 0 handling, and shell script…
Analyze PerforatedAI training results and provide optimization recommendations. Trigger: 'Analyze my perforated results' (after training completes). Reviews CSV outputs, identifies performance patterns, recommends configuration improvements. For initial setup…
Solutions for non-trivial PerforatedAI integration scenarios. Use when standard integration hits edge cases such as AMP (Automatic Mixed Precision) / GradScaler crashes in p mode, or other advanced setups not covered by the main perforatedai skill.
WandB-specific PerforatedAI integration guardrail skill. Use when users want WandB sweeps/logging with PerforatedAI, or when fixing repeated WandB integration mistakes. Enforces strict adherence to the canonical PerforatedAI WandB API doc (api/wandb.md) and…