◆ Claudius
Status

Icarus-Figures

Skill

Self-contained Claude skill for generating publication-grade scientific figures using matplotlib and TikZ with journal-grade composition standards.

by TAO-QKV·TAO-QKV/Icarus-Figures·Python
78· B
Install
git clone https://github.com/TAO-QKV/Icarus-Figures
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About

Turn "a dataset + a claim" into a publication-grade figure — the kind a top-journal editor accepts with no revision request. Icarus Figures is a self-contained Claude/Codex skill: reproducible matplotlib/seaborn plots for data figures, and original TikZ for hero/method figures.

The point is not "many chart thumbnails"; it is complex paper figures with hierarchy, insets, cross-panel evidence, and honest uncertainty.

Complex biomedical evidence panel - a single integrated figure with a hero response manifold, decision field, calibration/ROC diagnostics, volcano + Manhattan omics evidence, imaging plate, survival validation, forest plot, covariance heatmap, and mechanism graph (`examples/complex_panels.py`):

Complex spatial-physical evidence panel - field + streamline + trajectory + sensors as the hero panel, with response surface, spectrum, time-series uncertainty, QQ residual check, phase portrait, anomaly zoom, and registered imaging readouts:

Read more on GitHub →
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maintained
License
MIT
Age
4 months
data-visualizationscience#matplotlib#tikz#scientific-visualization#publication-quality#python#seaborn#figures#claude-skill