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Build and audit traceable quantitative plots and code-native modeling diagrams from existing modeling results. Use when the primary deliverable is a figure, diagram, figure bundle, or final-size visual QA rather than a complete modeling solution.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/YANG985-CMD/Math-Modeling-Solver --skill build-modeling-figures命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Solve or improve end-to-end mathematical-modeling competition and applied-modeling work: problem decomposition, MATLAB-first computation, model design, validation, credible innovation, and evidence-backed paper delivery. Use for complete solutions, award-seeking papers, redesign of an existing model, or review of a substantive modeling route. Before the first formal numerical execution, verify an official MATLAB execution route and the task-relevant capabilities.
Audit existing mathematical-modeling data, backend ownership, experiments, innovation claims, results, constraints, reproducibility, and claim-to-evidence links. Use when the primary request is to check or validate an existing modeling project rather than solve a complete new problem.
Assemble and preflight evidence-backed mathematical-modeling competition papers in official Word, LaTeX, or PDF formats. Use when the primary request is template-compliant manuscript delivery, native equation handling, frozen-result insertion, format audit, or final page-by-page visual inspection.
基于 SOC 职业分类
正在显示 SKILL.md
| name | build-modeling-figures |
| description | Build and audit traceable quantitative plots and code-native modeling diagrams from existing modeling results. Use when the primary deliverable is a figure, diagram, figure bundle, or final-size visual QA rather than a complete modeling solution. |
Turn verified results into figures that make one defensible claim each. Keep quantitative evidence separate from illustrative diagrams and never use AI-generated imagery as empirical evidence.
assets/templates/figure-contract-template.json before generating a formal figure. Record source data, generating script, deterministic command, statistics, panel responsibilities, and review risks.scripts/audit_figure_bundle.py in strict mode, render at final size, inspect the actual PNG preview, and revise any overflow, unreadable label, missing unit, or unsupported caption.assets/templates/modeling-diagram-spec-template.json and run scripts/build_modeling_diagram.py.references/modeling-figure-workflow.md.references/figure-contract-and-qa.md and references/figure-qa-checklist.md.assets/code/python/modeling_plotkit.py.assets/code/python/demo_modeling_figure.py.scripts/build_modeling_diagram.py.scripts/audit_figure_bundle.py.