domains / families / science / neurokit2
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. Builds and audits reproducible NeuroKit2 research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Use when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation—not for diagnosis or device validation.
The copies diverge significantly in scope and rigor. The K-Dense-AI copy is a strict, reproducible research protocol that pins versions (0.2.13), enforces a specific data contract, and includes safety boundaries against medical diagnosis. The other copies (Vibe-Skills, OpenClaw, aipoch) are broader 'toolkit' guides that list capabilities and provide general code examples without the rigorous version pinning or safety constraints. Combining them is necessary to capture both the rigorous research workflow and the broader functional capabilities (like specific EEG/EMG/EOG functions) that the rigorous copy omits or truncates.