mathmodel-skill
mathmodel-skill structures 72–96 hour modeling contests into a recoverable 10-stage workflow spanning problem selection, modeling, robustness analysis, writing, and submission review. Built for CUMCM, MCM/ICM, and Diangong Cup, it maintains persistent decision state, enforces competition-specific rules and templates, and guides users through numbered questions rather than manual configuration.
mathmodel-skill runs a 10-stage end-to-end workflow for CUMCM, MCM/ICM, and Diangong Cup math modeling competitions.
AI-generated summary based on this skill's SKILL.md
Install
handsomeZR-netizen/mathmodel-skill/mathmodel-skill · repository language: Python
git clone https://github.com/handsomeZR-netizen/mathmodel-skill
cp -r mathmodel-skill ~/.claude/skills/mathmodel-skillFrequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
What is mathmodel-skill's core workflow for math modeling competitions?
mathmodel-skill structures 72–96 hour modeling contests into a recoverable 10-stage workflow spanning problem selection, modeling, robustness analysis, writing, and submission review. It guides users through numbered questions rather than manual configuration, maintaining persistent decision state throughout the competition lifecycle for CUMCM, MCM/ICM, and Diangong Cup contests.
How does mathmodel-skill support problem selection and model building?
mathmodel-skill guides problem selection and model building through a structured 10-stage process. Each stage is designed to move competitors from initial problem understanding through model development, validation, and refinement. The skill asks targeted questions at each stage to help teams make informed decisions about their approach and modeling strategy.
Can mathmodel-skill help with 数学建模竞赛工作流 management?
Yes. mathmodel-skill manages the complete math modeling competition workflow by maintaining persistent decision state and compliance tracking for your competition paper. It tracks your progress through all stages, remembers your earlier choices, and ensures your work aligns with competition-specific rules and templates for CUMCM, MCM, and Diangong Cup.
What does mathmodel-skill check before final submission?
mathmodel-skill reviews robustness, sensitivity analysis, and evaluation results before submission. It then validates paper format, rules compliance, and anti-patterns to catch issues that could result in penalties or rejection. This final review stage ensures your submission meets all competition requirements and best practices.
Which competitions does mathmodel-skill support?
mathmodel-skill is built for CUMCM (China Undergraduate Mathematical Contest in Modeling), MCM/ICM (Mathematical Contest in Modeling / Interdisciplinary Contest in Modeling), and Diangong Cup competitions. Each competition has its own rules, templates, and submission requirements that mathmodel-skill enforces throughout the workflow.
How does mathmodel-skill track team decisions during the competition?
mathmodel-skill maintains persistent decision state and compliance tracking, creating a recoverable log of your team's choices throughout the 72–96 hour competition window. This allows you to review earlier decisions, understand your reasoning, and maintain consistency across your modeling work and final paper submission.
SKILL.md
rendered from the published skill — quoted content, verbatim
mathmodel-skill — 数学建模三竞赛工作流 (v6.1)
10 阶段把 72–96 小时的竞赛协作变成可恢复、可检查的流程。用户回答关键问题，agent 维护状态与脚本。每阶段产出经过 rubric 自评、定向精修与跨阶段一致性回检；Stage 8–9 先遵守当届官方规则，再做多视角终审。CUMCM 包含 91 份来源文档，其中 59 份进入文本统计；MCM/电工杯经验统计明确为 n=0，不提供合成分位。
v6.1 更新: 加入竞赛规则基线与 AI 使用披露链路；三竞赛统一使用 marker 模板并对提交元数据 fail closed；修复状态路径错位、评分 verdict 持久化、题型权重合并和 YAML frontmatter 等问题；新增 preflight doctor 与自动化验证。
Codex 原生入口
Codex 优先按 skill 目录发现本文件:
- 用户级安装:
$HOME/.agents/skills/mathmodel-skill/ - 项目级安装:
<repo>/.agents/skills/mathmodel-skill/ - UI 元数据:
agents/openai.yaml - 插件分发元数据:
.codex-plugin/plugin.json+
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.codex-plugin/plugin.json
.github/workflows/ci.yml
.gitignore
AGENTS.md
LICENSE
README.md
SKILL.md
THIRD_PARTY_NOTICES.md
agents/openai.yaml
competitions/cumcm/README.md
competitions/cumcm/abstract_template.md
competitions/cumcm/anti_patterns.md
competitions/cumcm/current_rules.md
competitions/cumcm/distilled_formats.md
competitions/cumcm/distilled_naming.md