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Lupynow/math-modeling-skills
数学建模竞赛完整工具链:从拿到赛题到交出论文,一条龙解决。 覆盖 国赛 CUMCM(A/B/C) 和 美赛 MCM/ICM(A-F) 全部题型。
History
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skills/math-modeling-paper/SKILL.md
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skills/math-modeling-solver/SKILL.md
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Heat
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Individual skills in this repository
- math-modeling-paper
skills/math-modeling-paper - math-modeling-solver
skills/math-modeling-solver
How it works
math-modeling-paper
When your agent uses it
数学建模竞赛论文写作全流程指导。覆盖国赛(CUMCM)和美赛(MCM/ICM),从论文结构规划、各章节撰写、模型检验、参考文献规范到最终格式检查。与math-modeling-solver形成"解题→写作"配对——可接收solver输出的论文草稿片段直接展开写作。当用户提及数学建模论文写作、建模比赛、国赛/美赛/电工杯/亚太杯/深圳杯/华为杯论文、CUMCM、MCM/ICM、数模论文结构、摘要写作、模型检验、灵敏度分析、latex建模模板、word建模排版、Memo/Letter写作、模型命名、Our Work流程图,或需要写/修改/优化/检查建模论文的任何部分时,都必须使用此 skill。
What it loads into context
Frontmatter
207 tokensAlways available to the agent
SKILL.md
5,221 tokensWhen the skill is activated
Reference documents
40,459 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 使用流程
- 论文结构模板
- 分节写作规则
- 两赛关键差异速查
- LaTeX / Word 排版检查清单
- 参考资源
Files
.gitignoreasset102 bytesLICENSEasset1,056 bytesSKILL.mdcore18,111 bytesreferences/abstract-writing.mddoc9,188 bytesreferences/common-phrases.mddoc19,718 bytesreferences/cumcm-guide.mddoc8,485 bytesreferences/de-ai-writing.mddoc12,843 bytesreferences/figure-and-code-guide.mddoc22,908 bytesreferences/literature-review.mddoc22,101 bytesreferences/mcm-icm-guide.mddoc15,550 bytesreferences/memo-writing.mddoc4,896 bytesreferences/model-validation.mddoc7,374 bytesreferences/problem-type-strategies.mddoc11,023 bytesreferences/self-review-framework.mddoc9,581 bytes
Read SKILL.md
# 数学建模竞赛论文写作
## 使用流程
收到写作任务后,按以下步骤操作:
### Step 0: 检查建模来源
先判断用户是否已完成建模:
- **用户已用 `math-modeling-solver` 完成建模,有论文草稿片段** → 识别 `[PAPER_READY]` 信号或用户说"建模做完了/准备写论文",直接加载草稿片段,从对应章节开始写作
- **用户未建模,直接要写论文** → 建议先用 `math-modeling-solver` 完成建模,或直接进入 Step 1 确定写作阶段
- **用户已有自己的建模方案** → 直接进入 Step 1
View the complete source on GitHubmath-modeling-solver
When your agent uses it
数学建模竞赛解题全流程指导。覆盖国赛(CUMCM)和美赛(MCM/ICM)全部题型(A-F),提供12种问题本质分析、95+场景模型决策矩阵、5本算法Cookbook、11本完整例题Playbook、22个Python+7个MATLAB可运行代码模板。与math-modeling-paper形成"解题→写作"配对。当用户提及建模思路、选什么模型、怎么建模、赛题求解、粘贴赛题文本、美赛/国赛题目分析、CVaR/NSGA-II/Monte Carlo/时间序列/ANOVA/灰色关联、网络流/图论/生态建模、模型命名/Memo/Letter/Our Work流程图时,使用此skill。
What it loads into context
Frontmatter
191 tokensAlways available to the agent
SKILL.md
4,814 tokensWhen the skill is activated
Reference documents
88,777 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 使用流程
- 阶段间规则
- 参考资源
Scripts executed separately
references/code-templates/python/evaluation/ahp_template.pyreferences/code-templates/python/evaluation/entropy_weight_template.pyreferences/code-templates/python/evaluation/fuzzy_eval_template.pyreferences/code-templates/python/evaluation/grey_relational_template.pyreferences/code-templates/python/evaluation/topsis_template.pyreferences/code-templates/python/mechanistic/food_web_ode_template.pyreferences/code-templates/python/mechanistic/ode_solver_template.pyreferences/code-templates/python/ml/anova_template.pyreferences/code-templates/python/ml/gmm_em_template.pyreferences/code-templates/python/ml/markov_chain_template.pyreferences/code-templates/python/ml/random_forest_template.pyreferences/code-templates/python/ml/time_series_forecast_template.pyreferences/code-templates/python/ml/xgboost_template.pyreferences/code-templates/python/optimization/cvar_robust_opt_template.pyreferences/code-templates/python/optimization/ga_template.pyreferences/code-templates/python/optimization/integer_programming_template.pyreferences/code-templates/python/optimization/monte_carlo_template.pyreferences/code-templates/python/optimization/network_flow_template.pyreferences/code-templates/python/optimization/nsga2_template.pyreferences/code-templates/python/optimization/pso_template.pyreferences/code-templates/python/optimization/sa_template.pyreferences/code-templates/python/optimization/system_dynamics_template.py
Files
../math-modeling-paper/references/literature-review.mddoc22,101 bytesLICENSEasset1,056 bytesREADME.mddoc2,170 bytesSKILL.mdcore16,452 bytesSKILL.mdcore16,452 bytesreferences/code-templates/matlab/evaluation/ahp_template.masset770 bytesreferences/code-templates/matlab/evaluation/topsis_template.masset1,115 bytesreferences/code-templates/matlab/ml/random_forest_template.masset1,485 bytesreferences/code-templates/matlab/optimization/ga_template.masset4,696 bytesreferences/code-templates/matlab/optimization/monte_carlo_template.masset6,145 bytesreferences/code-templates/matlab/optimization/pso_template.masset2,693 bytesreferences/code-templates/matlab/optimization/sa_template.masset3,840 bytesreferences/code-templates/python/evaluation/ahp_template.pyruns2,507 bytesreferences/code-templates/python/evaluation/entropy_weight_template.pyruns1,882 bytesreferences/code-templates/python/evaluation/fuzzy_eval_template.pyruns3,534 bytesreferences/code-templates/python/evaluation/grey_relational_template.pyruns9,851 bytesreferences/code-templates/python/evaluation/topsis_template.pyruns3,821 bytesreferences/code-templates/python/mechanistic/food_web_ode_template.pyruns10,351 bytesreferences/code-templates/python/mechanistic/ode_solver_template.pyruns13,158 bytesreferences/code-templates/python/ml/anova_template.pyruns12,272 bytesreferences/code-templates/python/ml/gmm_em_template.pyruns10,399 bytesreferences/code-templates/python/ml/markov_chain_template.pyruns8,336 bytesreferences/code-templates/python/ml/random_forest_template.pyruns2,254 bytesreferences/code-templates/python/ml/time_series_forecast_template.pyruns13,960 bytesreferences/code-templates/python/ml/xgboost_template.pyruns4,741 bytesreferences/code-templates/python/optimization/cvar_robust_opt_template.pyruns12,116 bytesreferences/code-templates/python/optimization/ga_template.pyruns7,013 bytesreferences/code-templates/python/optimization/integer_programming_template.pyruns7,544 bytesreferences/code-templates/python/optimization/monte_carlo_template.pyruns8,055 bytesreferences/code-templates/python/optimization/network_flow_template.pyruns10,019 bytesreferences/code-templates/python/optimization/nsga2_template.pyruns10,831 bytesreferences/code-templates/python/optimization/pso_template.pyruns4,011 bytesreferences/code-templates/python/optimization/sa_template.pyruns2,754 bytesreferences/code-templates/python/optimization/system_dynamics_template.pyruns8,376 bytesreferences/cookbook-clustering.mddoc7,098 bytesreferences/cookbook-evaluation.mddoc4,504 bytesreferences/cookbook-game-theory.mddoc5,415 bytesreferences/cookbook-mechanistic.mddoc33,547 bytesreferences/cookbook-ml.mddoc7,309 bytesreferences/cookbook-network.mddoc5,941 bytesreferences/cookbook-optimization.mddoc5,648 bytesreferences/cookbook-statistical.mddoc19,169 bytesreferences/mcm-specific-guide.mddoc4,191 bytesreferences/model-selection-matrix.mddoc15,002 bytesreferences/paper-bridge.mddoc3,738 bytesreferences/playbooks/playbook-data-insight.mddoc15,932 bytesreferences/playbooks/playbook-evaluation-decision.mddoc12,571 bytesreferences/playbooks/playbook-geometric-kinematics.mddoc6,407 bytesreferences/playbooks/playbook-mcm-environmental.mddoc5,695 bytesreferences/playbooks/playbook-mcm-network.mddoc10,240 bytesreferences/playbooks/playbook-mcm-policy.mddoc5,003 bytesreferences/playbooks/playbook-ml-classification.mddoc10,387 bytesreferences/playbooks/playbook-ml-regression.mddoc13,416 bytesreferences/playbooks/playbook-path-planning.mddoc12,359 bytesreferences/playbooks/playbook-physics-ode.mddoc12,084 bytesreferences/playbooks/playbook-scheduling-opt.mddoc10,801 bytesreferences/playbooks/playbook-strategy-game.mddoc12,811 bytesreferences/problem-decomposition.mddoc8,356 bytes
Read SKILL.md
# 数学建模竞赛解题指导
> 本 skill 提供的矩阵、cookbook、playbook、代码模板,全部是**知识参考**而非**决策指令**。
> 对于同一道赛题,不同队伍理应有不同的建模路径。矩阵里的推荐只是技术起点——
> 你的任务是结合题目具体约束、数据特征和团队判断,做出**有理由的选择**,而非照搬推荐。
## 使用流程
收到解题任务后,按以下五阶段工作流操作。
### Step 0: 判断用户入口
先判断用户在哪个阶段切入:
View the complete source on GitHubSkills included
- math-modeling-paper
- math-modeling-solver
Repository facts
- License
- MIT
- Created
- May 23, 2026
- Last pushed
- Jul 31, 2026
- Forks
- 16
- Open issues
- 0
- Project activity
- Slowing
Before you install
Local scriptsAutomated signals, not a guarantee
Checked Nov 6, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 1 note
skills/math-modeling-solver/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- No dangerous shell commands
- 4 network referencesin 2 files: math-modeling-paper/references/common-phrases.md:288 math-modeling-solver/README.md:17
- No hidden or obfuscated text
- No instruction overrides
- 22 executable scriptsin 22 files: math-modeling-solver/references/code-templates/python/evaluation/ahp_template.py:1 math-modeling-solver/references/code-templates/python/evaluation/entropy_weight_template.py:1 math-modeling-solver/references/code-templates/python/evaluation/fuzzy_eval_template.py:1 and 19 more
- No access to secrets
- No requests to vote in Hot
Show all 26 signals by file
skills/math-modeling-paper/references/common-phrases.md
skills/math-modeling-solver/README.md
skills/math-modeling-solver/references/code-templates/python/evaluation/ahp_template.py
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skills/math-modeling-solver/references/code-templates/python/evaluation/entropy_weight_template.py
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skills/math-modeling-solver/references/code-templates/python/evaluation/fuzzy_eval_template.py
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skills/math-modeling-solver/references/code-templates/python/evaluation/grey_relational_template.py
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skills/math-modeling-solver/references/code-templates/python/evaluation/topsis_template.py
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skills/math-modeling-solver/references/code-templates/python/mechanistic/food_web_ode_template.py
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skills/math-modeling-solver/references/code-templates/python/mechanistic/ode_solver_template.py
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skills/math-modeling-solver/references/code-templates/python/ml/anova_template.py
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skills/math-modeling-solver/references/code-templates/python/ml/gmm_em_template.py
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skills/math-modeling-solver/references/code-templates/python/ml/markov_chain_template.py
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skills/math-modeling-solver/references/code-templates/python/ml/random_forest_template.py
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skills/math-modeling-solver/references/code-templates/python/ml/time_series_forecast_template.py
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skills/math-modeling-solver/references/code-templates/python/ml/xgboost_template.py
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skills/math-modeling-solver/references/code-templates/python/optimization/cvar_robust_opt_template.py
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skills/math-modeling-solver/references/code-templates/python/optimization/ga_template.py
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skills/math-modeling-solver/references/code-templates/python/optimization/integer_programming_template.py
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skills/math-modeling-solver/references/code-templates/python/optimization/monte_carlo_template.py
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skills/math-modeling-solver/references/code-templates/python/optimization/network_flow_template.py
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skills/math-modeling-solver/references/code-templates/python/optimization/nsga2_template.py
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skills/math-modeling-solver/references/code-templates/python/optimization/pso_template.py
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skills/math-modeling-solver/references/code-templates/python/optimization/sa_template.py
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skills/math-modeling-solver/references/code-templates/python/optimization/system_dynamics_template.py
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How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Signal confidence: 26 facts
- Network access in prose of documentationmath-modeling-paper/references/common-phrases.md:288Low confidence
- Network access in prose of documentationmath-modeling-paper/references/common-phrases.md:289Low confidence
- Network access in code of documentationmath-modeling-solver/README.md:17Low confidence
- Network access in code of documentationmath-modeling-solver/README.md:18Low confidence
- Executable script in prose of a file that runsmath-modeling-solver/references/code-templates/python/evaluation/ahp_template.py:1Low confidence
- Executable script in prose of a file that runsmath-modeling-solver/references/code-templates/python/evaluation/entropy_weight_template.py:1Low confidence
- Executable script in prose of a file that runsmath-modeling-solver/references/code-templates/python/evaluation/fuzzy_eval_template.py:1Low confidence
- Executable script in prose of a file that runsmath-modeling-solver/references/code-templates/python/evaluation/grey_relational_template.py:1Low confidence
- Executable script in prose of a file that runsmath-modeling-solver/references/code-templates/python/evaluation/topsis_template.py:1Low confidence
- Executable script in prose of a file that runsmath-modeling-solver/references/code-templates/python/mechanistic/food_web_ode_template.py:1Low confidence
- Executable script in prose of a file that runsmath-modeling-solver/references/code-templates/python/mechanistic/ode_solver_template.py:1Low confidence
- Executable script in prose of a file that runsmath-modeling-solver/references/code-templates/python/ml/anova_template.py:1Low confidence
- Executable script in prose of a file that runsmath-modeling-solver/references/code-templates/python/ml/gmm_em_template.py:1Low confidence
- Executable script in prose of a file that runsmath-modeling-solver/references/code-templates/python/ml/markov_chain_template.py:1Low confidence
- Executable script in prose of a file that runsmath-modeling-solver/references/code-templates/python/ml/random_forest_template.py:1Low confidence
- Executable script in prose of a file that runsmath-modeling-solver/references/code-templates/python/ml/time_series_forecast_template.py:1Low confidence
- Executable script in prose of a file that runsmath-modeling-solver/references/code-templates/python/ml/xgboost_template.py:1Low confidence
- Executable script in prose of a file that runsmath-modeling-solver/references/code-templates/python/optimization/cvar_robust_opt_template.py:1Low confidence
- Executable script in prose of a file that runsmath-modeling-solver/references/code-templates/python/optimization/ga_template.py:1Low confidence
- Executable script in prose of a file that runsmath-modeling-solver/references/code-templates/python/optimization/integer_programming_template.py:1Low confidence
- Executable script in prose of a file that runsmath-modeling-solver/references/code-templates/python/optimization/monte_carlo_template.py:1Low confidence
- Executable script in prose of a file that runsmath-modeling-solver/references/code-templates/python/optimization/network_flow_template.py:1Low confidence
- Executable script in prose of a file that runsmath-modeling-solver/references/code-templates/python/optimization/nsga2_template.py:1Low confidence
- Executable script in prose of a file that runsmath-modeling-solver/references/code-templates/python/optimization/pso_template.py:1Low confidence
- Executable script in prose of a file that runsmath-modeling-solver/references/code-templates/python/optimization/sa_template.py:1Low confidence
- Executable script in prose of a file that runsmath-modeling-solver/references/code-templates/python/optimization/system_dynamics_template.py:1Low confidence
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Compatible | Standard SKILL.md skills/math-modeling-paper/SKILL.md | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md skills/math-modeling-paper/SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md skills/math-modeling-paper/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md skills/math-modeling-paper/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md skills/math-modeling-paper/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md skills/math-modeling-paper/SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.