Agens neurokit2
skill_id: neurokit2
install
source · Clone the upstream repo
git clone https://github.com/Gyoungwe/agens
manifest:
skills/neurokit2/skill.yamlsource content
skill_id: neurokit2 name: neurokit2 description: 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. version: 1.0.0 author: K-Dense Inc. license: MIT license tags:
- scientific-agent-skills
- neurokit2 tools: [] permissions: network: true filesystem: false shell: false agents:
- executor_agent enabled: true source: scientific-agent-skills entrypoint: entry.py readme: README.md input_schema: {} output_schema: type: object metadata: upstream_repo: K-Dense-AI/scientific-agent-skills upstream_skill: neurokit2 upstream_path: scientific-skills/neurokit2/SKILL.md upstream_frontmatter: name: neurokit2 description: 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. license: MIT license metadata: skill-author: K-Dense Inc.