neurokit2

8.7

286

Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.

biosignal

8.7

Rating

Installs

Data & Analytics

Quick Review

Excellent biosignal processing skill with comprehensive coverage of physiological signal analysis. The description clearly articulates when to use the skill across multiple signal modalities (ECG, EEG, EDA, RSP, PPG, EMG, EOG). SKILL.md provides well-organized overviews of 11 core capabilities with practical code examples, while detailed technical documentation is appropriately delegated to 12 specialized reference files. Task knowledge is outstanding with complete workflows, function signatures, and multi-modal integration patterns. Structure is exemplary—concise main file with clear indexing to modular references. Novelty is strong as biosignal processing requires specialized domain knowledge (HRV analysis, microstate segmentation, complexity measures) that would be token-intensive for a CLI agent to derive independently. Minor improvement possible in description brevity, but overall this is a highly effective skill for reducing computational cost in neurophysiological data analysis tasks.