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 or debugging, use the perforatedai skill instead.
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.
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 generation for DDP.
HuggingFace Transformers integration for PerforatedAI. Handles the Trainer-specific differences: usingperforatedai=True, GPA.metric, evalstrategy. Use when the user's script uses HuggingFace Trainer.
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 includes expandable correction sections.
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' (deploy trained models), 'export my perforated model'…
Render a single-panel PAI figure of score versus parameter count from sweep CSVs, PAI run folders, or hand-supplied numbers. Trigger: 'make the PAI graph', 'plot params vs score', 'plot my dendrite results'. Builds a JSON spec, then renders it with dataprocessing/plotstreams.py. Figures only, no analysis. For…
Full error-by-error reference. Find your error in the index in ../SKILL.md, then jump to the matching section below. Every section follows: symptom / error string → cause → fix.
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originalApache-2.0
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