Individual skill
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.
bundled/skills/neurokit2/SKILL.md
Source commit 8af6e230d3db0f3022236e67632be6d8b9323bf0
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 11, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 3,817
- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- ai-workflow Repository topic
- automation Repository topic
- codex Repository topic
- developer-tools Repository topic
- skills Repository topic
- ai-skills Repository topic
- claude-code Repository topic
- llm Repository topic
- vibe-coding Repository topic
- data Derived category
- research Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 11,957 bytesSKILL.mdcore · 11,957 bytesSKILL.mdcore · 11,957 bytesSKILL.mdcore · 11,957 bytesSKILL.mdcore · 11,957 bytesSKILL.mdcore · 11,957 bytesSKILL.mdcore · 11,957 bytesSKILL.mdcore · 11,957 bytesSKILL.mdcore · 11,957 bytesSKILL.mdcore · 11,957 bytesSKILL.mdcore · 11,957 bytesSKILL.mdcore · 11,957 bytesSKILL.mdcore · 11,957 bytesSKILL.mdcore · 11,957 bytesSKILL.mdcore · 11,957 bytesSKILL.mdcore · 11,957 bytesSKILL.mdcore · 11,957 bytesSKILL.mdcore · 11,957 bytesSKILL.mdcore · 11,957 bytesreferences/bio_module.mddoc · 13,099 bytesreferences/complexity.mddoc · 17,352 bytesreferences/ecg_cardiac.mddoc · 10,810 bytesreferences/eda.mddoc · 14,733 bytesreferences/eeg.mddoc · 14,306 bytesreferences/emg.mddoc · 12,390 bytesreferences/eog.mddoc · 12,271 bytesreferences/epochs_events.mddoc · 14,793 bytesreferences/hrv.mddoc · 15,493 bytesreferences/ppg.mddoc · 11,168 bytesreferences/rsp.mddoc · 13,946 bytesreferences/signal_processing.mddoc · 16,652 bytes
Read excerpt
# 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