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Domain-specific routing classifies your math query into Analysis & PDE, Algebra & Geometry, Stochastics, or Discrete Math, then loads the matching sub-skill's SKILL.md to activate specialized agents and tooling for rigorous domain analysis.

The best way to classify math problems for symbolic computation and numerical simulation is to identify the mathematical domain from the query and route it to the matching domain pillar to load specialized agents and shared common libraries.

Yes, the framework requires numpy and scipy as dependencies. It utilizes a shared common library, including a numeric_engine, to execute numerical simulations and load domain-specific agents across the four mathematical pillars.

Yes, you can use matplotlib for plotting. The framework includes a shared plot_engine that works alongside symbolic and numeric engines to generate visualizations for numerical simulation and proof assistance workflows.

You should not use a multi-domain math router if your task falls outside the four supported pillars (Analysis & PDE, Algebra & Geometry, Stochastics, Discrete Math) or lacks valid SKILL.md frontmatter required to load domain-specific agents.