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Mne eeg preprocessing starter

Skill ma-compbio-lab/SkillFoundry/skills/neuroscience-and-neuroimaging/mne-eeg-preprocessing-starter

A framework for discovering, compiling, and validating reusable skills for scientific agents.

Install
npx -y skills add ma-compbio-lab/SkillFoundry --skill mne-eeg-preprocessing-starter

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.1 KB, 262 tokens by cl100k_base, as published. Nobody here has run it

MNE EEG Preprocessing Starter

Use this skill to create a tiny synthetic EEG recording with MNE-Python, apply a simple band-pass filter, and summarize the preprocessing effect.

What it does

  • Builds a deterministic two-channel RawArray with oscillatory signal plus low-frequency drift.
  • Applies a basic 1-30 Hz band-pass filter.
  • Returns compact JSON with sampling rate, channel names, and before/after dispersion summaries.

When to use it

  • You need a runnable starter for EEG / MEG preprocessing.
  • You want a verified local MNE-Python example before working on real electrophysiology recordings.

Example

slurm/envs/neuro/bin/python skills/neuroscience-and-neuroimaging/mne-eeg-preprocessing-starter/scripts/run_mne_eeg_preprocessing.py \
  --out scratch/neuro/mne_preprocessing_summary.json

Verification

  • Skill-local tests: python3 -m unittest discover -s skills/neuroscience-and-neuroimaging/mne-eeg-preprocessing-starter/tests -p 'test_*.py'
  • Repository smoke: python3 -m unittest tests.smoke.test_phase31_frontier_leaf_conversion_skills -v

Keep looking

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