math-modeling-pipeline/phase-1

To brainstorm math modeling directions, this Skill coordinates six expert agents to generate 4-6 independent proposals each, producing a structured document with at least 12 total candidate pathways for downstream analysis.

Multi-agent brainstorming for mathematical modeling is a process where six parallel expert agents independently propose directions with model sketches, feasibility, and novelty scores to create a diverse pool of candidate pathways.

Yes, this Skill generates a brainstorm report that explicitly seeds path filtering and routing decisions, guiding downstream phases from problem analysis to final academic writing in the math modeling pipeline.

To start the math modeling brainstorm pipeline, provide the problem statement and phase-0 inputs, then run the six expert agents in parallel to generate and aggregate their proposed directions into a consolidated report.

Yes, the brainstorm report enforces cross-agent attribution, automatically aggregating each expert's proposed directions into a comprehensive document with a sources map and per-agent tags for downstream use.

A limitation is that this multi-agent brainstorming phase requires strict input contracts and phase-0 inputs to function, as it primarily generates candidate pathways rather than executing the mathematical modeling itself.