Math

Solve symbolic and numerical mathematics problems with exact algebra and high-precision arithmetic.

3|Updated Apr 18, 2026
One-click install
npx skills add https://github.com/garochee33/DSH --skill math-garochee33
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Math
Source: https://github.com/garochee33/DSH/tree/main/kb/skills/math
Command: npx skills add https://github.com/garochee33/DSH --skill math-garochee33

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the friction of doing mathematical work manually by helping you compute exact symbolic results, high-precision numeric values, and matrix operations reliably.

Core Features & Use Cases

  • Symbolic computation: Simplify expressions, differentiate, integrate, solve equations, and work with limits or series.
  • High-precision arithmetic: Evaluate expressions with arbitrary decimal precision when standard floating-point math is not enough.
  • Linear algebra and tensors: Compute eigenvalues, decompositions, and tensor-based operations for scientific and ML workflows.
  • Use case: A researcher can derive a formula, verify it numerically at high precision, and then analyze the same model with matrix methods in one workflow.

Quick Start

Use the Math skill to simplify this expression, find its derivative with respect to x, and evaluate it at high precision.

Frequently Asked Questions about Math

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

FAQPage Schema
How do I perform symbolic computation and exact algebra for calculus equations?

High-precision arithmetic evaluates mathematical expressions with arbitrary decimal precision using mpmath when standard floating-point math is insufficient. It provides exact numeric values for scientific or machine learning tasks requiring maximum numerical accuracy.

Can I compute eigenvalues and tensor operations for machine learning workflows?

Symbolic computation, high-precision arithmetic, and matrix operations are combined in one workflow to derive a formula, verify it numerically, and analyze the model with matrix methods. This approach applies to calculus, differential equations, number theory, and linear algebra simultaneously.

Does this math skill require specific dependencies like sympy and numpy to work?

Yes, high-precision arithmetic handles arbitrary decimal precision evaluation for number theory and complex computations. This capability ensures accurate results when standard floating-point math cannot provide sufficient precision for scientific calculations.

What's the best way to solve differential equations and number theory problems?

The best way to solve differential equations and number theory problems is using symbolic computation with exact algebra and arbitrary precision arithmetic. This approach applies sympy and mpmath to compute reliable mathematical results across multiple mathematical domains.