eeg-figure

What problem does it solve?

EEG analyses often stop at computed results, but publishing requires consistent, journal-ready figures with correct styling, annotations, and reproducible captions.

Core Features & Use Cases

• Figure-plan driven rendering: Reads FIGURE_PLAN.md to deterministically generate exactly the requested figure set with correct panel layouts and journal dimensions.
• Multi-modal EEG visualization support: Produces ERP (butterflies, ROI overlays, difference with CI and clusters), TFR (heatmaps, ERDS maps, band time courses), topomaps (evoked and TFR), and decoding/spectral visuals.
• Publication-quality outputs: Writes editable SVG plus PNG previews, with enforced typography, color accessibility, units, colorbars, and strict difference/topomap scaling.
• Self-contained figure captions: Generates figure-stage/CAPTIONS.md entries that include what is plotted, statistical framing, N, and correct interpretation rules for cluster boundaries.

Quick Start

Use the eeg-figure skill to render paper-ready figures for an analysis by ensuring FIGURE_PLAN.md and the required stage outputs exist in your project directory, then run the skill for your project.