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mathmodel-figure-templates

Generate scientific chart examples from bundled Python scripts using repeatable simulated data. Choose from templates such as raincloud plots, correlation matrices, and ROC charts, then receive PNG, PDF, SVG, and editable script files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

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.

설치 방법 보기

이럴 때 유용합니다

  • Generating sample scientific charts from templates
  • Comparing correlation and prediction chart layouts
  • Customizing labels and legends in generated charts
  • Exporting charts as PNG, PDF, and SVG

포함된 파일(26)

  • SKILL.md2.6 KB
  • assets/previews/correlation_pairgrid_replica.png1.1 MB
  • assets/previews/cv_roc_ci_replica.png293.7 KB
  • assets/previews/grouped_circular_heatmap_replica.png1.6 MB
  • assets/previews/grouped_corr_split_violin_replica.png401.6 KB
  • assets/previews/multiclass_shap_combo_replica.png1.3 MB
  • assets/previews/nature_chord_diagram_replica.png1.2 MB
  • assets/previews/paired_raincloud_replica.png428.9 KB
  • assets/previews/prediction_marginal_grid_replica.png1.0 MB
  • assets/previews/rf_tpe_surface_replica.png1.3 MB
  • assets/previews/taylor_diagram_replica.png472.4 KB
  • assets/previews/urban_park_cooling_combo_replica.png854.5 KB
  • references/figure-catalog.md1.4 KB
  • references/plot-recipes.md1.4 KB
  • scripts/render_template.py5.5 KB
  • scripts/templates/make_correlation_pairgrid.py6.9 KB
  • scripts/templates/make_cv_roc_ci.py7.8 KB
  • scripts/templates/make_grouped_circular_heatmap.py10.0 KB
  • scripts/templates/make_grouped_corr_split_violin.py9.8 KB
  • scripts/templates/make_multiclass_shap_combo.py9.8 KB
  • scripts/templates/make_nature_chord_diagram.py9.9 KB
  • scripts/templates/make_paired_raincloud.py10.3 KB
  • scripts/templates/make_prediction_marginal_grid.py8.4 KB
  • scripts/templates/make_rf_tpe_surface.py6.0 KB
  • scripts/templates/make_taylor_diagram.py7.4 KB
  • scripts/templates/make_urban_park_cooling_combo.py15.5 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

MathModel Figure Templates

This skill is bundled into the LaTeX sandbox at /home/user/.claude/skills/mathmodel-figure-templates. It contains ready-to-run Python/matplotlib scripts for the figure templates exposed in the MathModel Improve tab.

Fast Path

  1. Match the requested chart in references/figure-catalog.md.
  2. From /home/user/workspace, run the renderer with the template id:
python3 /home/user/.claude/skills/mathmodel-figure-templates/scripts/render_template.py paired-raincloud
  1. The renderer copies the bundled template script into 绘图复刻/scripts/, runs it there, and writes outputs to 绘图复刻/outputs/.
  2. Return the generated PNG/PDF/SVG paths and the copied script path to the user.

Use --list to show supported ids:

python3 /home/user/.claude/skills/mathmodel-figure-templates/scripts/render_template.py --list

Output Contract

  • Work under the current workspace unless the user gives another path.
  • Default project folder: 绘图复刻.
  • Script path: 绘图复刻/scripts/make_<template>.py.
  • Outputs: 绘图复刻/outputs/<template>_replica.png, .pdf, .svg.
  • Use the bundled scripts as the first choice; edit the copied workspace script only when the user requests customization.
  • The bundled scripts use deterministic simulated data. Do not claim simulated values reproduce a source study exactly.

Template Ids

  • multiclass-shap-combo
  • paired-raincloud
  • cv-roc-ci
  • taylor-diagram
  • correlation-pairgrid
  • prediction-marginal-grid
  • rf-tpe-surface
  • grouped-corr-split-violin
  • grouped-circular-heatmap
  • urban-park-cooling-combo
  • nature-chord-diagram

When Customizing

If the user asks for changes, copy/run the nearest template first, then edit the copied file in 绘图复刻/scripts/. Preserve:

  • MPLCONFIGDIR before importing matplotlib.
  • deterministic seeds for simulated data.
  • PNG/PDF/SVG export.
  • readable labels, legends, and high-DPI output.

Use references/plot-recipes.md for implementation patterns.

리뷰

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같은 저장소의 스킬

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한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Referencing competition writing conventions
  • Checking pitfalls for different problem types
  • Consulting chart and figure guidelines
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한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Starting a mathematical modeling competition project
  • Planning work around competition and formatting preferences
  • Tracking progress across modeling and paper-writing stages
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한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Breaking down competition questions and their dependencies
  • Comparing interpretations of ambiguous problem statements
  • Reviewing attached data before modeling
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Implements mathematical models from a design report as reproducible code, runs calculations, and checks results. It records methods and validation findings in a results report and produces data-based PDF charts for papers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Implementing models from a modeling report
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4drawio

무료

Turn mathematical modeling reports into DrawIO diagrams showing solution steps, model structures, and data processing flows. Produce editable source files, export PDFs for papers when DrawIO is available, and record diagram choices and export results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Illustrate the overall approach in a modeling paper
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  • Show model structure and variable relationships
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5writing

무료

Write mathematical modeling competition papers from existing analysis reports, results, and figure PDFs. Use competition templates in Typst or LaTeX, tools for document layout, to organize sections, place figures, and prepare references and summaries.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Turn modeling reports into a competition paper
  • Use a template for MCM or CUMCM
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