math-tools

Perform symbolic math computations with SymPy and output structured JSON results.

687|87|Updated Oct 9, 2025
One-click install
npx skills add https://github.com/ananddtyagi/cc-marketplace --skill math-tools
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: math-tools
Source: https://github.com/ananddtyagi/cc-marketplace/tree/main/plugins/math/skills
Command: npx skills add https://github.com/ananddtyagi/cc-marketplace --skill math-tools

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires sympy, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a deterministic mathematics engine powered by SymPy, ensuring exact symbolic results rather than approximate calculations.

Core Features & Use Cases

  • Arithmetic & Algebra: Exact computations, simplification, factoring, and solving equations.
  • Calculus & Linear Algebra: Derivatives, integrals, limits, series, eigenvalues, and matrix operations with symbolic accuracy.
  • Output formats: JSON with result, latex, and numeric representations for easy integration into apps.

Quick Start

Examples: python scripts/math_calculator.py add 5 3; python scripts/math_calculator.py derivative "x2" x; python scripts/math_calculator.py solve "x2 - 4" x

Frequently Asked Questions about math-tools

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

FAQPage Schema
How do I solve equations symbolically with exact results instead of approximations?

Symbolic math solves equations exactly using SymPy's deterministic backend. The Skill accepts equation expressions and variables, returning precise algebraic solutions as JSON with result, LaTeX, and numeric representations, eliminating floating-point rounding errors.

Can I compute derivatives and integrals symbolically?

Yes. The Skill performs symbolic differentiation and integration on expressions with guaranteed accuracy. Use the derive and integrate commands with your expression and variable to get exact symbolic results formatted as JSON with LaTeX output for documentation.

What's the best way to simplify and factor algebraic expressions?

Symbolic simplification and factorization use SymPy to reduce expressions to their simplest forms and decompose them into factors. The Skill returns structured JSON outputs showing the simplified result, LaTeX representation, and numeric value when applicable.

How do I perform matrix operations and compute eigenvalues symbolically?

Linear algebra operations including matrix multiplication, eigenvalue computation, and determinant calculation are performed symbolically through SymPy. The Skill handles these operations deterministically, returning exact results with JSON formatting and LaTeX representations.

Does this work for statistical calculations with symbolic precision?

Yes. The Skill supports symbolic statistical computations for scenarios requiring exact results rather than numerical approximations. Statistical operations integrate with the command-line interface and return structured JSON output maintaining precision throughout calculations.