MNE Connectivity Graph Starter
SkillAI & modelsUse this skill to build a tiny EEG connectivity graph with mne and mne-connectivity.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the MNE Connectivity Graph Starter skill
About this capability
A framework for discovering, compiling, and validating reusable skills for scientific agents.
What this skill tells your AI
The instructions your AI receives, as published by ma-compbio-lab/skillfoundry in skills/neuroscience-and-neuroimaging/mne-connectivity-graph-starter/SKILL.md and read by ahel’s review.
Use this skill to build a tiny EEG connectivity graph with mne and mne-connectivity.
What it does
- Creates deterministic toy epochs with three EEG channels.
- Computes alpha-band coherence with
spectral_connectivity_epochs. - Converts the resulting matrix into a thresholded edge list and writes a compact JSON summary.
When to use it
- You need a verified starter for connectomics or graph-style neuroimaging analysis.
- You want a compact example of spectral connectivity before moving to real EEG/MEG datasets.
- You need stable graph summary fields for tests or demos.
Example
slurm/envs/neuro/bin/python skills/neuroscience-and-neuroimaging/mne-connectivity-graph-starter/scripts/run_mne_connectivity_graph.py \
--out scratch/neuro/mne_connectivity_graph_summary.json
Verification
- Skill-local tests:
python3 -m unittest discover -s skills/neuroscience-and-neuroimaging/mne-connectivity-graph-starter/tests -p 'test_*.py' - Expected summary: the strongest edge is
Fz -> Czand only one edge survives the default0.5threshold
Signals
- GitHub stars
- 39
- Forks
- 5
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
mne-connectivity-graph-starter- Source
- github.com/ma-compbio-lab/skillfoundry