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/mathmodel-figure-templates

@be9c59c
by Sanjinjihe520/mathmodelagent6.2k stars
450

Use this skill in the MathModel LaTeX sandbox when the user asks to reproduce built-in scientific visualization templates, especially prompts from the Improve tab mentioning $mathmodel-figure-templates, 科研绘图模板, SHAP蜂群柱状图, 配对云雨图, 交叉验证ROC, 泰勒图, 相关矩阵组合图, 预测真实值边缘分布图, TPE调参3D曲面, 下三角相关矩阵半边小提琴图, 分组环形热图, 城市公园降温组合图, or Nature和弦图. It provides ready-to-run Python scripts bundled inside the skill.

Use this Skill: https://skilld.dev/gh/jihe520/mathmodelagent/mathmodel-figure-templates

This session only. Nothing lands on disk.

referencesplot-recipes.md

≈349 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Plot Recipes

Use bundled scripts first. These notes are only for customization after a template has been copied into the workspace.

  • SHAP composite: stacked horizontal mean-absolute importance bars plus class/model beeswarm strips and a feature-value colorbar.
  • Paired raincloud: half-violins, jittered observations, box geometry, mean diamonds, and connected mean trends.
  • ROC with CI: fold curves interpolated to a shared FPR grid, mean curve, standard-deviation band, AUC mean ± sd legend, and diagonal baseline.
  • Taylor diagram: polar coordinates with angle arccos(correlation) and radius as model standard deviation.
  • Correlation grid: lower scatter/fitted CI, diagonal histograms, upper coefficient cells with diverging colors and stars.
  • Prediction marginal grid: predicted-vs-actual scatter plus top/right histograms and KDE-like curves.
  • 3D tuning surface: mpl_toolkits.mplot3d, smooth response surface, colorbar, and checked camera angle.
  • Split violin + correlation matrix: signed lower-triangle marker matrix plus left/right half-violin distribution comparison.
  • Circular heatmap: polar bars, flipped outer labels, central legend, and ring-specific color scales.
  • Chord diagram: outer Wedge sectors and translucent Bezier PathPatch ribbons.
  • Urban cooling composite: stacked city bars, raincloud metric panels, city legend, and boxplots with connected means.

Source: SKILL.md on GitHub

No alerts3mo3 checks · Risk SAFE
  • Gen Agent Trust Hub3mo

    This skill provides scientific visualization templates for generating various charts (e.g., SHAP, Taylor diagrams, Chord diagrams) using Python and Matplotlib. It operates entirely locally using synthetic data and manages script execution through a secure renderer that avoids shell-based command execution and uses sanitized template selection.

  • Socket3mo

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  • Snyk3mo

    Risk: LOW · No issues

Signed by skilld at be9c59c. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 3 weeks ago.

Activeupdated 3 months ago
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