mne-eeg-tool
Use this skill whenever any NeuroClaw modality skill (especially eeg-skill) needs to execute concrete MNE-Python operations for EEG loading, preprocessing, filtering, artifact removal, epoching, frequency-band analysis, or feature extraction. This is the dedicated base/tool skill that contains all specific MNE-Python code and usage patterns.
npx skills add BioTender-max/awesome-bio-agent-skills --skill mne-eeg-tool --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# MNE-EEG Tool (Base/Tool Layer) ## Overview `mne-eeg-tool` is the **NeuroClaw base/tool skill** that provides all concrete MNE-Python implementation for EEG processing. It is **never called directly by the user**. It is exclusively delegated to by the modality-layer skill `eeg-skill` (and any future EEG-related modality skills). This skill: - Contains the complete, ready-to-run MNE-Python code (covers all standard preprocessing and feature extraction tasks). - Handles environment setup verification. - Provides a single, well-documented wrapper script (`eeg_pipeline.py`) that implements **all** common EEG tasks, including the newly added continuous-data branch, functional connectivity, ERP features, frontal alpha asymmetry, and microstate analysis. - Routes every execution through `claw-shell` for safety and logging. **Research use only** — outputs are for scientific analysis. ## Agent Reference Rule When the agent needs MNE-EEG implementation code, it should first consult the curated snippet in `skills/mne-eeg-tool/scripts/` instead of copying from the embedded wrapper below. Reference snippet available: - `scripts/eeg_pipeline_reference.py` -> full EEG pipeline: load, bad-channel
- Overview
- Agent Reference Rule
- Quick Reference (Core Functions)
- Installation (Handled by dependency-planner)
- NeuroClaw recommended wrapper script
- Important Notes & Limitations
- Complementary / Related Skills
- Reference
- Post-Execution Verification (Harness Integration)
python skills/mne-eeg-tool/scripts/eeg_pipeline_reference.py \ Executed via dependency-planner + conda-env-manager conda create -n neuroclaw-eeg python=3.11 -y conda activate neuroclaw-eeg conda install -c conda-forge mne pyentrp scikit-learn pandas numpy matplotlib -y pip install mne[full] # optional: full extras
What does the mne-eeg-tool skill do?
Use this skill whenever any NeuroClaw modality skill (especially eeg-skill) needs to execute concrete MNE-Python operations for EEG loading, preprocessing, filtering, artifact removal, epoching, frequency-band analysis, or feature extraction. This is the dedicated base/tool skill that contains all specific MNE-Python code and usage patterns.
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill mne-eeg-tool --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.