Individual skill
math-model
Use when 高教社杯/CUMCM 数学建模任务需要变量、假设、公式、约束、算法、验证设计、鲁棒性规划、灵敏度分析、结果 schema,或基于题面和本地证据的代码交接。
math-model/SKILL.md
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- Last checked
- Nov 5, 2026
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- Repository stars (not skill ratings)
- 58
- Repository last updated
- Jul 19, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-assisted Repository topic
- codex-skills Repository topic
- cumcm Repository topic
- data-visualization Repository topic
- decision-analysis Repository topic
- evidence-driven Repository topic
- forecasting Repository topic
- latex Repository topic
- math-modeling Repository topic
- mathematical-modeling Repository topic
- engineering Derived category
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SKILL.mdcore · 7,271 bytesSKILL.mdcore · 7,271 bytesagents/openai.yamlasset · 318 bytesreferences/robustness-protocol.mddoc · 3,193 bytes
Read excerpt
# 竞赛建模
## 用途
Turn the locked problem brief into a problem-driven model route: variables, constraints, assumptions, units, objective/mechanism, validation, robustness plan, result schema, and code handoff.
Read `math-hub/references/quality-contract.md` only when promoting a route to paper-ready, classifying blocked status, preparing a final gate, or writing a cross-module handoff. For exploratory model sketches, keep the boundary local and do not load the shared contract by default.
Do not choose an algorithm because it sounds advanced. First state what mathematical problem the subquestion is, then choose the simplest route that can answer the required deliverable.
## Required Inputs
- `problem_brief.md` and `deliverable_matrix.csv`, or an equivalent current lock from `math-problem-reader`/`math-hub`;
- active subquestion, input data, assumptions, limits, and expected output;