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k-dense-ai/scientific-agent-skills

v2.64.0MIT

Ready-to-use scientific and research Agent Skills for biology, chemistry, medicine, and related workflows.

neurokit2

Use NeuroKit2 to build or audit reproducible research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Trigger when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation—not for diagnosis or device validation.

Version
1.1
License
MIT
Compatibility
Python 3.10+ and uv; pinned workflows use NeuroKit2 0.2.13. Core processing needs NumPy, SciPy, pandas, scikit-learn, matplotlib, PyWavelets, requests, and setuptools; selected EEG, cvxEDA, plotting, file-format, and RQA features need separately locked optional packages.
Read SKILL.md at the source

Pinned to revision de66e10cd0c8, so it is the text this page describes rather than whatever the author pushed since.

Pre-approved tools experimental

Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.

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Files

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