Individual skill
math-modeling-solver
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。
skills/math-modeling-solver/SKILL.md
Source commit 3a9428c006cc1b977c6a72a531b739a62868a4bc
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- Last checked
- Nov 6, 2026
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- Repository stars (not skill ratings)
- 437
- Repository last updated
- Jul 31, 2026
- License
- MIT
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- claude-code Repository topic
- claude-skill Repository topic
- cumcm Repository topic
- mathematical-modeling Repository topic
- mcm-icm Repository topic
- paper-writing Repository topic
- engineering Derived category
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LICENSEasset · 1,056 bytesREADME.mddoc · 2,170 bytesSKILL.mdcore · 16,452 bytesSKILL.mdcore · 16,452 bytesreferences/code-templates/matlab/evaluation/ahp_template.masset · 770 bytesreferences/code-templates/matlab/evaluation/topsis_template.masset · 1,115 bytesreferences/code-templates/matlab/ml/random_forest_template.masset · 1,485 bytesreferences/code-templates/matlab/optimization/ga_template.masset · 4,696 bytesreferences/code-templates/matlab/optimization/monte_carlo_template.masset · 6,145 bytesreferences/code-templates/matlab/optimization/pso_template.masset · 2,693 bytesreferences/code-templates/matlab/optimization/sa_template.masset · 3,840 bytesreferences/code-templates/python/evaluation/ahp_template.pyruns · 2,507 bytesreferences/code-templates/python/evaluation/entropy_weight_template.pyruns · 1,882 bytesreferences/code-templates/python/evaluation/fuzzy_eval_template.pyruns · 3,534 bytesreferences/code-templates/python/evaluation/grey_relational_template.pyruns · 9,851 bytesreferences/code-templates/python/evaluation/topsis_template.pyruns · 3,821 bytesreferences/code-templates/python/mechanistic/food_web_ode_template.pyruns · 10,351 bytesreferences/code-templates/python/mechanistic/ode_solver_template.pyruns · 13,158 bytesreferences/code-templates/python/ml/anova_template.pyruns · 12,272 bytesreferences/code-templates/python/ml/gmm_em_template.pyruns · 10,399 bytesreferences/code-templates/python/ml/markov_chain_template.pyruns · 8,336 bytesreferences/code-templates/python/ml/random_forest_template.pyruns · 2,254 bytesreferences/code-templates/python/ml/time_series_forecast_template.pyruns · 13,960 bytesreferences/code-templates/python/ml/xgboost_template.pyruns · 4,741 bytesreferences/code-templates/python/optimization/cvar_robust_opt_template.pyruns · 12,116 bytesreferences/code-templates/python/optimization/ga_template.pyruns · 7,013 bytesreferences/code-templates/python/optimization/integer_programming_template.pyruns · 7,544 bytesreferences/code-templates/python/optimization/monte_carlo_template.pyruns · 8,055 bytesreferences/code-templates/python/optimization/network_flow_template.pyruns · 10,019 bytesreferences/code-templates/python/optimization/nsga2_template.pyruns · 10,831 bytesreferences/code-templates/python/optimization/pso_template.pyruns · 4,011 bytesreferences/code-templates/python/optimization/sa_template.pyruns · 2,754 bytesreferences/code-templates/python/optimization/system_dynamics_template.pyruns · 8,376 bytesreferences/cookbook-clustering.mddoc · 7,098 bytesreferences/cookbook-evaluation.mddoc · 4,504 bytesreferences/cookbook-game-theory.mddoc · 5,415 bytesreferences/cookbook-mechanistic.mddoc · 33,547 bytesreferences/cookbook-ml.mddoc · 7,309 bytesreferences/cookbook-network.mddoc · 5,941 bytesreferences/cookbook-optimization.mddoc · 5,648 bytesreferences/cookbook-statistical.mddoc · 19,169 bytesreferences/mcm-specific-guide.mddoc · 4,191 bytesreferences/model-selection-matrix.mddoc · 15,002 bytesreferences/paper-bridge.mddoc · 3,738 bytesreferences/playbooks/playbook-data-insight.mddoc · 15,932 bytesreferences/playbooks/playbook-evaluation-decision.mddoc · 12,571 bytesreferences/playbooks/playbook-geometric-kinematics.mddoc · 6,407 bytesreferences/playbooks/playbook-mcm-environmental.mddoc · 5,695 bytesreferences/playbooks/playbook-mcm-network.mddoc · 10,240 bytesreferences/playbooks/playbook-mcm-policy.mddoc · 5,003 bytesreferences/playbooks/playbook-ml-classification.mddoc · 10,387 bytesreferences/playbooks/playbook-ml-regression.mddoc · 13,416 bytesreferences/playbooks/playbook-path-planning.mddoc · 12,359 bytesreferences/playbooks/playbook-physics-ode.mddoc · 12,084 bytesreferences/playbooks/playbook-scheduling-opt.mddoc · 10,801 bytesreferences/playbooks/playbook-strategy-game.mddoc · 12,811 bytesreferences/problem-decomposition.mddoc · 8,356 bytes
Read excerpt
# 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: