Individual skill

pybroker-model-trainer

Register, train, wire, and debug machine learning models for PyBroker backtests using the bundled PyBroker wiki references generated from the local docs. Use when an agent needs to register a model with pybroker.model, write train_fn/predict_fn code for scikit-learn, XGBoost, LightGBM, CatBoost, PyTorch, Keras, statsmodels (ARIMA/SARIMAX), or arch models, build ensembles or regime models, run walkforward analysis, build time-series or lagged-feature models, train pooled multi-symbol models, load pretrained models, cache data and trained models, or prevent lookahead leakage in model-driven backtests.

skills/pybroker-model-trainer/SKILL.md

Source commit 01f11fdd42b76ef564a7f550c247a3dfce81330e

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Yes

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No

Observed behavior

Network or broad shell

Last checked

Nov 2, 2026

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