pybroker-indicator-creator
Write, register, and debug PyBroker indicators using the bundled PyBroker wiki references generated from the local docs. Use when an agent needs to write custom indicator functions with pybroker.indicator, vectorize indicator logic with NumPy and Numba @njit kernels, wrap third-party technical analysis libraries such as TA-Lib, pandas-ta, ta, tulipy, or finta, use the built-in indicator factories and vector helpers, compute indicators standalone with IndicatorSet, parameterize indicators with hyperparams for optimization, compute indicators on multiple time intervals, feed custom data columns into indicators, cache indicator computations, or debug Numba compilation errors and parallel indicator failures.
SKILL.md
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