GitHub
hyperparam-sweep
Systematically search hyperparameter space. Use when tuning learning rate, batch size, or other hyperparameters.
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rHedBull AI Skills
GitHub ↗Browse published AI skills maintained by rHedBull. Compare skill descriptions and follow each source repository for setup instructions.
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8Repository stars across indexed skills
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GitHub
train-debug
Interactive diagnostic workflow for training problems. Use when training is failing, loss is stuck, gradients explode, NaN occurs, or convergence is poor.
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GitHub
train
Execute a neural network training run with mandatory monitoring and best-practice defaults. Use when user wants to train a model, start training, or run a training job.
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GitHub
experiment-plan
Design rigorous experiments before running them. Use when planning experiments, testing hypotheses, or designing ablation studies.
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GitHub
monitor
View training progress in real-time. Use when checking on running training, viewing live metrics, or opening dashboards.
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GitHub
run-validation
Run model validation on a dataset. Use when testing model performance, comparing checkpoints, or running final evaluation.
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GitHub
interpret-curves
Analyze training logs and explain what's happening. Use when reviewing training runs, understanding loss curves, or diagnosing completed training.
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GitHub
scaling-analysis
Run scaling experiments to understand model/data/compute relationships. Use when investigating scaling laws, compute-optimal training, or model size decisions.
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The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.