Generates MODELING.md files from contest problem analyses and user data with validation plans.
npx skills add https://github.com/lix965996-art/MMM --skill comp-modeling
Please help me install this Agent Skill. Skill: comp-modeling Source: https://github.com/lix965996-art/MMM/tree/main/resources/app/skills/comp-modeling Command: npx skills add https://github.com/lix965996-art/MMM --skill comp-modeling
This skill turns contest mathematics modeling tasks into a complete, solver-ready workflow that covers assumptions, sub-problem modeling, formulas, algorithms, and validation plans for accurate implementation.
Use the comp-modeling skill to generate MODELING_REPORT.md based on PROBLEM_ANALYSIS.md and the attached user_data for your math modeling competition task.
High-intent search queries and answers about installing and using this skill.
A mathematical modeling workflow requires aligning methods with the recommended approach and checking an error-prevention handbook per problem type. This ensures method-choice justification and prevents implementation ambiguity through parameterized assumptions and formal constraints.
Yes, the mathematical modeling workflow handles multiple sub-problems by converting the contest analysis into structured modeling sections. It applies method alignment and formula designs independently across each sub-problem within the final MODELING_REPORT.md.
Structuring a math modeling report requires organizing assumptions, symbol definitions, and algorithm designs into an execution-ready MODELING_REPORT.md. This enforces YAML metadata requirements and includes validation checkpoints plus sensitivity plans.
You need formal constraints and parameterized assumptions in mathematical modeling when preparing contest problems for coding. They ensure the resulting MODELING_REPORT.md is execution-ready and prevents implementation ambiguity across sub-problems.
lix965996-artDecompose competition math problems into structured modeling plans with variables and assumptions.
BellaBeTranslate goals into phased plans with milestones and dependencies.
OpenSenseNovaClean and validate numerical Excel data with pandas.
echo-iceManage mathematical modeling contest workflows from problem parsing to paper writing.
