math-researcher-teacher

Name: math-researcher-teacher
Availability: InStock
Author: Develata

Route mathematical queries to domain-specific sub-skills for rigorous analysis.

Updated Jan 29, 2026

Search Tags:#routing #domain-specific #multi-domain #symbolic-computation #numerical-simulation #proof-assistance

Ready to run

npx skills add https://github.com/Develata/Deve-Skills --skill math-researcher-teacher

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: math-researcher-teacher
Source: https://github.com/Develata/Deve-Skills/tree/main/math-researcher-teacher
Command: npx skills add https://github.com/Develata/Deve-Skills --skill math-researcher-teacher

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, scipy, matplotlib.

What problem does it solve?

Advanced mathematical inquiries often span multiple subfields and require coordinated routing to domain-specific tools and solvers. This skill provides a meta-skill framework to classify queries into four pillars (Analysis & PDE, Algebra & Geometry, Stochastics, Discrete Math) and guide activation of domain-specific agents, scripts, and references.

Core Features & Use Cases

Routes queries to the appropriate domain sub-skills for rigorous analysis, simulation, and proof assistance.
Orchestrates access to four domain pillars: Analysis & PDE, Algebra & Geometry, Stochastics, and Discrete Math.
Demonstrates practical routing guidance and reuse of a common tools library across domains.

Quick Start

Identify the user’s domain from the query and route to the matching domain’s SKILL.md to load its specialized agents and tooling.

Frequently Asked Questions about math-researcher-teacher

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I route advanced mathematical queries to the right domain-specific solver?▼

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.

What is the best way to classify math problems for symbolic computation and numerical simulation?▼

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.

Does this math routing framework require numpy and scipy to run numerical simulations?▼

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.

Can I use matplotlib for plotting within numerical simulation and proof assistance workflows?▼

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.

When should I not use a multi-domain math router for symbolic computation tasks?▼

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.