Claude Code skill for PaperBanana - Generate publication-quality academic diagrams with AI

🎨 Toolkit for generating publication-quality plots for Cell, Nature and Science journals

Fix messy MATLAB figures: publication-quality plots, clean subplot layouts, and PDF export for LaTeX/Overleaf in Codex and Claude Code.

Publication-grade figures for scientific papers — reproducible matplotlib & TikZ, with a quality bar, composition paradigms, and journal-grade craft. A self-contained Claude skill.

A Claude Code skill that teaches researchers to think about data before plotting it, then produce publication-quality figures with built-in reflection. Brainstorm → Plan → Execute.

Design patterns for publication-quality academic figures. Content-focused guidance backed by analysis of 50+ top-venue papers (NeurIPS, ICML, Nature).

🔬 Scientific visualization toolkit — inspire the best chart for your research data | 激发科研数据最佳可视化方案

A 6-week hands-on masterclass in Data Visualization, MLOps Tracking, and Explainable AI (XAI). Master high-dimensional embeddings (UMAP), model diagnostics, live metrics (MLflow, W&B), and feature attribution (SHAP, LIME, Grad-CAM).

MCP server for publication-quality scientific figures — diagrams, charts, maps with QA validation. Powered by Gemini.

Academic paper figure generation toolkit: grid layout engine + AI visual review + draw.io export

Behavior Contract and Protocols for AI-assisted work. Covers various scenarios such as output shaping, publication, HTML structure, discovery setup, task prep, and more. Built by a non-dev who needed things to not break. No theory. Operational.