AI导哈

数据与研究

neurokit2

k-dense-ai/scie…t-skills

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.

  • 1934 次安装
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安装命令

npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill neurokit2

SKILL.md

NeuroKit2

Scope and evidence cutoff

Use this skill for method-aware, reproducible biosignal research with NeuroKit2. The snapshot was checked on 2026-10-01 against:

  • stable PyPI 0.2.13, released 2026-03-02;
  • Python metadata (>=3.10; classifiers 3.10–3.14) and wheel dependencies;
  • GitHub release notes/tags, NEWS.rst, source at tag v0.2.13;
  • official API pages/examples (the live site identified itself as 0.2.13.dev214); and
  • pinned 0.2.13 runtime signatures and synthetic output schemas.

The current wheel requires pandas<3.0.0. The refreshed core checks use Python 3.13, NumPy 2.5.3, and pandas 2.3.3; forcing pandas 3 conflicts with upstream metadata. API fragments below assume caller-provided arrays and imports. Optional MNE source reconstruction, cvxEDA, EMD, and pyRQA paths are source-reviewed, not runtime-validated by this refresh. Synthetic checks establish software behavior, not empirical validity.

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