1start Mathmodel

This skill transforms modeling analysis into executable code, runs constraint validation, and produces data-driven figures for academic papers. It generates reproducible results, intermediate datasets, and PDF charts organized by problem subcomponents.

4drawio automates creation of non-data diagrams for mathematical modeling papers, including technical roadmaps, problem-solving flowcharts, data pipelines, and model structures. It reads analysis and results reports to identify diagram needs, generates DrawIO source files with consistent styling, and exports publication-ready PDFs. The skill handles diagram planning, type selection, XML generation, and quality checks while avoiding duplication with data visualizations.

5writing handles the final paper composition stage for mathematical modeling competitions, offering dual typesetting engines (Typst and LaTeX) with pre-built templates for major contests. The skill organizes your paper structure, integrates figures and results from prior stages, and manages chapter files with proper syntax for your chosen engine.

6verity is the final validation stage for mathematical modeling competition papers, supporting both Typst and LaTeX. It verifies paper structure, cross-references, numerical consistency, detects placeholders and internal file leaks, validates citations and code reproducibility, and confirms compilation and submission readiness.

2analysis Modeling decomposes mathematical modeling competition problems into structured components: subproblems, data understanding, assumptions, variables, objective functions, and constraints. It produces a complete modeling report with formulas and algorithms ready for code implementation.

References is a shared knowledge base that other skills draw from during execution—not a standalone skill. It contains writing norms, common pitfalls, and formatting guidelines for mathematical modeling work.