codex

数模全流程工作流

数学建模竞赛全流程工作流插件:analysis-modeling 负责读取题面附件、拆解子问题、审计数据与假设并生成 ANALYSIS_MODELING_REPORT.md;coding-visual 负责可复现工程实现、模型验证、权威结果冻结与一图一脚本的最终论文图;paper-writing 负责按 Typst/LaTeX 双引擎模板组织章节、插入冻结结果并导出论文。捆绑子技能 model-figure-selector,在结果冻结后按论文证据选择并生成学术图表。三个阶段通过 reports/ 与 results/ 交接合同衔接。

0 on GitHubby Yjj0333v1.1.0updated 2 months agoEducation & Research

Plugin mathmodel-workflow in Yjj0333/mathmodel-plugins. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (4)

  • analysis-modeling

    数学建模赛题分析与建模设计阶段。用于读取题面和附件,拆解子问题,审计数据与假设,建立可实现的变量、公式、目标、约束、求解步骤、验证方案和论文证据合同,并生成 reports/ANALYSIS_MODELING_REPORT.md;在 CUMCM B 题四问 LaTeX 工作流中对齐项目内 paper-writing。

  • coding-visual

    数学建模编程实现、求解器组织、模型验证、运行快照、权威结果冻结、独立绘图脚本、最终论文图和支撑材料导出阶段。用于承接 ANALYSIS_MODELING_REPORT.md,将各问题落实为可复现工程;求解冻结后必须调用 $model-figure-selector,再按一张论文图一个脚本生成 figures/final/。

  • model-figure-selector

    Select, prioritize, plan, audit, and when requested generate evidence-driven academic figures for CUMCM and general mathematical-modeling papers. Use when identifying models from a problem, report, data, formulas, or code; answering “这个模型应该画什么图”; designing a complete figure chain; choosing plotting

  • paper-writing

    数学建模竞赛论文撰写阶段,支持 Typst 和 LaTeX 双引擎。根据 ANALYSIS_MODELING_REPORT.md、RESULTS_REPORT.md、results/figure_manifest.json 和 figures/final/ 选择模板、组织章节、插入冻结 run 的最终图,并按实际方法选择论文附录主要源程序。

View source on GitHub

More from Yjj0333/mathmodel-plugins

All 16 plugins →

数学建模竞赛一站式技能包:一次安装即可获得全流程与 BZD 系列全部技能——赛题逐句翻译(bzd-problem-translator)、建模思路(bzd-modeling-ideas)、问题重述(bzd-problem-restatement)、赛题分析与建模设计(analysis-modeling)、编程求解与冻结(coding-visual)、论文撰写(paper-writing)、图表选型(model-figure-selector)、科研绘图模板库(mathmodel-figure-templates)、模型字典(bzd-model-dictionary)、以及摘要/假设/求解/符号/格式/文献附录自查与整卷评审(bzd-review-paper)、AI工具使用披露、高校国奖查询。所有 $技能 交叉引用在同一插件内闭环,无跨插件依赖。推荐只安装本插件即可覆盖国赛全流程。

19 skills

0

Review a user-provided Chinese mathematical-modeling abstract without requiring the problem statement or full paper, identify concrete writing defects, and prioritize revisions. Use when the user asks to check, diagnose, or improve a modeling-paper abstract; do not claim coverage or factual consistency that cannot be verified without the problem or paper.

1 skill

0

Generate or review mathematical-modeling competition AI tool usage statements and the anonymous AI工具使用详情.pdf. Use when users provide real AI usage records, or when checking a paper, statement, details PDF, code, and AI records for completeness, anonymity, and consistency.

1 skill

0

Query 2021-2025 CUMCM school awards and 2026 forecasts, or assess a student's preparation distance from provincial and national awards using school history and prior modeling experience.

1 skill

0

Review a mathematical-modeling paper's model-assumption section against the complete problem statement. Diagnose whether each assumption is necessary, evidence-based, compatible with the task, appropriately simplified, and usable by the later model. Use for assumption review, not automatic full-paper review or unsupported assumption generation.

1 skill

0

Generate a coherent, whole-paper mathematical modeling solution framework from a complete contest problem. Use after the user supplies a CUMCM or other modeling problem and asks for modeling ideas, an overall solution plan, question-by-question analysis, candidate-model comparison, model-selection reasons, innovations, validation, or cross-question linkage. For every question, explain the task and mathematical essence, compare multiple feasible models in tables, recommend a route with explicit reasons, and keep all questions connected through shared data, variables, parameters, constraints, and validation.

1 skill

0

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