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Start the mathematical modeling pipeline. Use when the user types /math-model.
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Basé sur la classification professionnelle SOC
Universal mathematical modeling agent for all competitions. Activates when the user mentions "math modeling", "mathematical modeling", "美赛", "国赛", "建模", "MCM", "ICM", "MathorCup", or asks to solve a modeling competition problem. Also use when the user wants to analyze a problem, build a mathematical model, decompose it into subtasks, and solve each subtask with code execution. Covers the complete workflow from problem understanding to LaTeX paper generation.
Stage 3 of the mathematical modeling pipeline. Solves each subtask by dispatching independent subagents that retrieve methods from HMML, generate formulas, write and execute Python code, and interpret results. Each task runs in a subagent to minimize main session context usage. Invoked by the math-modeling skill during Stage 3. Do not invoke directly.
Stage 1 of the mathematical modeling pipeline. Performs deep problem analysis using Actor-Critic self-improvement with percent-based scoring. Invoked by the math-modeling skill during Stage 1. Do not invoke directly — use /math-model instead.
Stage 2 of the mathematical modeling pipeline. Performs high-level modeling, problem decomposition into subtasks, and DAG dependency analysis. Uses Actor-Critic with percent-based scoring. Invoked by the math-modeling skill during Stage 2. Do not invoke directly.
Stage 3.5 of the mathematical modeling pipeline. Performs global quality review of all task outputs using an independent subagent with percent-based scoring. Checks cross-task consistency, numerical credibility, requirement coverage, model coherence, evidence sufficiency, and chart/figure quality. Invoked by the math-modeling skill after Stage 3. Do not invoke directly.
Stage 4 of the mathematical modeling pipeline. Generates LaTeX paper source from all workspace outputs, compiles to PDF. Supports multiple competition templates. Invoked by the math-modeling skill during Stage 4. Do not invoke directly.
| name | math-model-command |
| description | Start the mathematical modeling pipeline. Use when the user types /math-model. |
| argument-hint | <problem-file-or-description> |
| allowed-tools | ["Read","Write","Edit","Glob","Grep","Bash","Agent"] |
Start the full mathematical modeling pipeline.
$ARGUMENTS
This can be:
When this command is invoked:
Parse the input:
$ARGUMENTS is a file path, read the file$ARGUMENTS is text, use it as the problem descriptionDetect competition type (if mentioned):
Initialize workspace:
mkdir -p mm-workspace/code mm-workspace/data mm-workspace/charts mm-workspace/05_paper/sections mm-workspace/05_paper/figures
Invoke the main skill: Activate the math-modeling skill and follow its workflow starting from Stage 1.
Execute the full pipeline: Follow the math-modeling skill's stage-by-stage instructions. Stage 1 and 2 pause for user review. Stage 3 runs automatically. Stage 4 generates LaTeX paper.