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.
npx skills add LeonChaoX/qinyan-academic-skills --skill neurokit2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# NeuroKit2 ## Overview NeuroKit2 is a comprehensive Python toolkit for processing and analyzing physiological signals (biosignals). Use this skill to process cardiovascular, neural, autonomic, respiratory, and muscular signals for psychophysiology research, clinical applications, and human-computer interaction studies. ## When to Use This Skill Apply this skill when working with: - **Cardiac signals**: ECG, PPG, heart rate variability (HRV), pulse analysis - **Brain signals**: EEG frequency bands, microstates, complexity, source localization - **Autonomic signals**: Electrodermal activity (EDA/GSR), skin conductance responses (SCR) - **Respiratory signals**: Breathing rate, respiratory variability (RRV), volume per time - **Muscular signals**: EMG amplitude, muscle activation detection - **Eye tracking**: EOG, blink detection and analysis - **Multi-modal integration**: Processing multiple physiological signals simultaneously - **Complexity analysis**: Entropy measures, fractal dimensions, nonlinear dynamics ## Core Capabilities ### 1. Cardiac Signal Processing (ECG/PPG) Process electrocardiogram and photoplethysmography signals for cardiovascular analysis. See `references/ecg_card
- Overview
- When to Use This Skill
- Core Capabilities
- 1. Cardiac Signal Processing (ECG/PPG)
- 2. Heart Rate Variability Analysis
- 3. Brain Signal Analysis (EEG)
- 4. Electrodermal Activity (EDA)
- 5. Respiratory Signal Processing (RSP)
- 6. Electromyography (EMG)
- 7. Electrooculography (EOG)
- 8. General Signal Processing
- 9. Complexity and Entropy Analysis
- 10. Event-Related Analysis
- 11. Multi-Signal Integration
uv pip install neurokit2 uv pip install https://github.com/neuropsychology/NeuroKit/zipball/dev
What does the neurokit2 skill do?
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.
How do I install it?
Run `npx skills add LeonChaoX/qinyan-academic-skills --skill neurokit2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From LeonChaoX/qinyan-academic-skills, a repository with 759 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.