Simulate expert judges to review modeling proposals and identify weaknesses.
npx skills add https://github.com/Best6668/AMIS --skill model-review-best6668
Please help me install this Agent Skill. Skill: model-review Source: https://github.com/Best6668/AMIS/tree/main/skills/model-review Command: npx skills add https://github.com/Best6668/AMIS --skill model-review-best6668
This Skill enables teams and judges to perform thorough, theory-to-practice evaluations of modeling proposals, simulating expert critique to tighten approaches before submission.
Submit your modeling proposal text and let the reviewer perform round-by-round critique, scoring, and improvement suggestions.
High-intent search queries and answers about installing and using this skill.
To get expert peer-review for your math modeling competition proposal, submit your problem analysis and draft report text to this simulation tool for round-by-round scoring, gap flagging, and actionable improvement recommendations.
Yes, you can use this math modeling critique process to identify weaknesses in your draft report by applying structured prompts and clear scoring rubrics to rigorously analyze your initial modeling plan from a judging perspective.
The best way to simulate an expert judge for a math modeling plan is using a multi-round critical review workflow that applies clear scoring rubrics to evaluate problem analyses and outputs concrete iterative improvement changes.
Yes, you need access to the Codex MCP workflow on Claude Code and structured prompts to perform this rigorous modeling proposal review and generate round-by-round feedback and improvement questions.
A limitation of running a multi-round math modeling critique is that the simulation requires structured prompts and clear scoring rubrics to function effectively, meaning unstructured or incomplete draft reports may yield less actionable feedback.
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