🎨 Toolkit for generating publication-quality plots for Cell, Nature and Science journals
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Updated
Sep 13, 2026 - Python
🎨 Toolkit for generating publication-quality plots for Cell, Nature and Science journals
Publication-grade figures for scientific papers — reproducible matplotlib & TikZ, with a quality bar, composition paradigms, and journal-grade craft. A self-contained Claude skill.
Agent skills for academic figures and editable slide decks in Claude Code and Codex.
Design patterns for publication-quality academic figures. Content-focused guidance backed by analysis of 50+ top-venue papers (NeurIPS, ICML, Nature).
Fix messy MATLAB figures: publication-quality plots, clean subplot layouts, and PDF export for LaTeX/Overleaf in Codex and Claude Code.
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.
Science-style academic plotting skill for line charts, bar charts, histograms, and scatter plots from CSV or Excel data.
Clean-room scientific plotting function library with Python, MATLAB, Go, Origin templates and color palettes
🔬 Scientific visualization toolkit — inspire the best chart for your research data | 激发科研数据最佳可视化方案
MCP server for publication-quality scientific figures — diagrams, charts, maps with QA validation. Powered by Gemini.
An AI agent skill for reusing 23+ Python chart templates and layering complementary data perspectives, with targeted guidance on useful missing inputs.
AI academic charting platform - upload data, get journal-ready figures; every layer editable without redrawing the whole chart
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).
Scientific figure & data-presentation library: 74 graph styles with a deterministic decision engine, a 16-rule anti-pattern registry, and 138 publication-quality example figures (synthetic data, matplotlib).
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.
Academic paper figure generation toolkit: grid layout engine + AI visual review + draw.io export
Publication-quality bioinformatics figures for RNA-seq: volcano, enrichment bubble, clustered heatmap. Nature/Cell/CN-core presets, CJK fonts, auto-generated Methods paragraphs.
Declarative plotting for R — a verb-prefix API on top of ggplot2, early development stage
Interactive desktop app for publication-ready scientific figures — PySide6 + matplotlib, drag-to-edit canvas, journal presets, 3D/polar/heatmap, EN/KO
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