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Guide math modeling contestants through problem solving, modeling, writing, and evaluation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mathmodel-skill" yet — see the docs or source repo.
Act as a math modeling competition mentor. In Friendly Mode, break down this CUMCM problem: identify the problem type, core objective, constraints, and available data, then propose three feasible modeling approaches with priorities.
A structured problem analysis, problem-type judgment, key variable list, and actionable modeling approach recommendations.
For this MCM problem, guide me through a 10-stage modeling workflow: problem restatement, assumptions, notation, model selection, solution steps, sensitivity analysis, and validation methods, and tell me what information I need to provide at each step.
A phased modeling plan, required inputs for each step, candidate model comparisons, and recommendations for follow-up analysis.
Here is my draft paper for the Electrical Engineering Cup math modeling contest. Review it with four layers of feedback: structure, model validity, result interpretation, and writing quality; use problem-type weighting and empirical percentile anchoring to identify weaknesses and suggest revisions.
Layered review feedback, a likely score range, major scoring risks, and concrete revision and strengthening suggestions.
Guide math modeling contests from analysis and coding to paper writing.
Complete math modeling competition support from problem selection to final paper.
Brainstorm with multiple LLMs before presenting an implementation plan to users.
Create or refine AI skills with scope, workflows, and tool integrations.
Use a reusable Claude skill set to speed up writing, analysis, and development.
Search, load, and reindex Claude Code skills on demand efficiently.