Neurokit2

If you're processing physiological signals like ECG, EEG, or EDA data, this is a solid all-in-one toolkit. It handles the full pipeline from cleaning raw signals to extracting metrics like heart rate variability across time/frequency/nonlinear domains, EEG frequency band power, skin conductance responses, and respiratory patterns. The standout feature is how it integrates complexity analysis (entropy measures, fractal dimensions, Lyapunov exponents) directly into biosignal workflows, which usually requires stitching together multiple libraries. Works well for psychophysiology research, clinical applications, or any project where you need to go from messy sensor data to interpretable physiological metrics without reinventing standard preprocessing chains.

Install to Claude Code

npx -y skills add k-dense-ai/scientific-agent-skills --skill neurokit2 --agent claude-code