neurokit2

8.3

117

267

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-processing

8.3

Rating

Installs

Data & Analytics

Quick Review

Exceptional biosignal processing skill with comprehensive coverage of physiological signal analysis. The SKILL.md provides crystal-clear descriptions of when and how to use each capability, with well-organized sections for 11 different analysis types (ECG, EEG, EDA, RSP, PPG, EMG, EOG, etc.). The structure is excellent—SKILL.md gives concise overviews with code examples while delegating detailed documentation to 12 specialized reference files. Task knowledge is outstanding with complete workflows, function signatures, and practical examples for each signal type. The skill addresses genuinely complex biosignal processing that would require extensive domain expertise and many tokens for a CLI agent to handle independently. Minor consideration: while highly specialized and valuable for its domain, biosignal processing is a niche application area, slightly moderating the novelty score. Overall, this is a model skill implementation demonstrating best practices in organization, documentation, and practical utility.