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Math Tools

mathematicssymbolic-computationsympycalculatorscientific-computing
β˜… 4.5 (125)⭐ 686πŸ•’ 2026-01-18Source β†—

Install this skill

npx skills add ananddtyagi/claude-code-marketplace

Works across Claude Code, Cursor, Codex, Copilot & Antigravity

What this skill does

  • β€’Execute symbolic algebraic simplifications and equation solving
  • β€’Perform calculus operations including derivatives, integrals, and Taylor series
  • β€’Compute linear algebra tasks like matrix determinants, inverses, and eigenvalues
  • β€’Solve number theory problems including prime factorization and GCD/LCM
  • β€’Generate LaTeX-formatted math output for documentation needs

When to use it

  • βœ“Verifying complex algebraic transformations in codebase logic
  • βœ“Calculating definite integrals or limits for algorithm optimization
  • βœ“Processing matrix operations for graphics or machine learning preprocessing
  • βœ“Validating prime numbers or statistical distributions in data processing

When not to use it

  • βœ•Simple mental arithmetic or trivial calculations
  • βœ•Large-scale high-performance data processing where NumPy or C++ would be faster
  • βœ•Non-mathematical logic or text-based reasoning tasks

How to invoke it

Example prompts that trigger this skill:

  • β€œSimplify the expression (x^2 - 1)/(x - 1)”
  • β€œCalculate the definite integral of x^2 from 0 to 5”
  • β€œFind the eigenvalues of the matrix [[1, 2], [3, 4]]”
  • β€œWhat are the prime factors of 360?”
  • β€œSolve the system of equations where x + y = 10 and x - y = 2”

Example workflow

  1. Identify a complex algebraic expression requiring simplification
  2. Formulate the expression using standard Python syntax (e.g., x**2)
  3. Invoke the math_calculator script with the simplify operation
  4. Receive the precise symbolic output from the tool
  5. Use the returned LaTeX result to update project documentation

Prerequisites

  • –Python 3.x
  • –SymPy library installed in the local environment

Pitfalls & limitations

  • !Extremely large symbolic expressions may experience memory overhead
  • !Incorrect syntax in input strings will result in calculation errors
  • !Not suitable for real-time applications requiring microsecond latency

FAQ

Does this tool use the LLM to calculate the answers?
No, it delegates all mathematical processing to the SymPy engine to ensure deterministic, symbolic accuracy.
Can I output results in LaTeX format?
Yes, the tool includes a specific utility to convert symbolic math results into valid LaTeX strings for documents.
What happens if I use invalid math syntax?
The script will return an error indicating the parse failure, preventing the return of inaccurate or hallucinated data.
Does it support complex numbers?
Yes, symbolic constants like 'I' for the imaginary unit are supported in expressions.

How it compares

Unlike standard LLM responses that approximate math based on training patterns, this tool executes code to provide a mathematically proven result.

Source & trust

⭐ 686 starsπŸ•’ Updated 2026-01-18πŸ›‘ runs-shell

From the source: β€œ# Math Tools Deterministic mathematical computation engine using SymPy. All calculations use symbolic math - no LLM estimation. ## When to Use Use this skill whenever mathematical accuracy matters: - Arithmetic involving fractions, roots, or large numbers - Algebraic simplification, expansion, facto…”

View the full SKILL.md source

# Math Tools

Deterministic mathematical computation engine using SymPy. All calculations use symbolic math - no LLM estimation.

## When to Use

Use this skill whenever mathematical accuracy matters:
- Arithmetic involving fractions, roots, or large numbers
- Algebraic simplification, expansion, factoring
- Solving equations (polynomial, transcendental, systems)
- Calculus (derivatives, integrals, limits, series)
- Linear algebra (matrices, eigenvalues, determinants)
- Number theory (primes, factorization, GCD/LCM)
- Statistical calculations

## Quick Start

Run the calculator script with operation and arguments:

```bash
python scripts/math_calculator.py <operation> <args...>
```

All results return JSON with `result`, `latex`, and `numeric` fields.

## Core Operations

### Arithmetic
```bash
python scripts/math_calculator.py add 5 3 2          # 10
python scripts/math_calculator.py multiply 2 3 4    # 24
python scripts/math_calculator.py divide 10 4       # 5/2 (exact)
python scripts/math_calculator.py sqrt 8            # 2*sqrt(2)
python scripts/math_calculator.py factorial 10      # 3628800
```

### Algebra
```bash
# Simplify
python scripts/math_calculator.py simplify "(x**2 - 1)/(x - 1)"
# β†’ x + 1

# Expand
python scripts/math_calculator.py expand "(x + 1)**3"
# β†’ x**3 + 3*x**2 + 3*x + 1

# Factor
python scripts/math_calculator.py factor "x**3 - 8"
# β†’ (x - 2)*(x**2 + 2*x + 4)

# Solve equations
python scripts/math_calculator.py solve "x**2 - 5*x + 6" x
# β†’ [2, 3]

python scripts/math_calculator.py solve "2*x + 3 = 7" x
# β†’ [2]
```

### Calculus
```bash
# Derivative
python scripts/math_calculator.py derivative "x**3 + sin(x)" x
# β†’ 3*x**2 + cos(x)

# Second derivative
python scripts/math_calculator.py derivative "x**4" x 2
# β†’ 12*x**2

# Indefinite integral
python scripts/math_calculator.py integrate "x**2" x
# β†’ x**3/3

# Definite integral
python scripts/math_calculator.py integrate "x**2" x 0 1
# β†’ 1/3

# Limit
python scripts/math_calculator.py limit "sin(x)/x" x 0
# β†’ 1

# Limit at infinity
python scripts/math_calculator.py limit "(x**2 + 1)/(x**2 - 1)" x oo
# β†’ 1

# Taylor series
python scripts/math_calculator.py series "exp(x)" x 0 5
# β†’ 1 + x + x**2/2 + x**3/6 + x**4/24 + O(x**5)
```

### Linear Algebra
```bash
# Determinant
python scripts/math_calculator.py det '[[1,2],[3,4]]'
# β†’ -2

# Inverse
python scripts/math_calculator.py inverse '[[1,2],[3,4]]'

# Eigenvalues
python scripts/math_calculator.py eigenvalues '[[4,2],[1,3]]'
# β†’ {5: 1, 2: 1}

# RREF
python scripts/math_calculator.py rref '[[1,2,3],[4,5,6]]'
```

### Number Theory
```bash
python scripts/math_calculator.py gcd 24 36 48       # 12
python scripts/math_calculator.py lcm 4 6 8         # 24
python scripts/math_calculator.py prime_factors 360  # 2^3 Γ— 3^2 Γ— 5
python scripts/math_calculator.py is_prime 17       # true
python scripts/math_calculator.py nth_prime 100     # 541
python scripts/math_calculator.py binomial 10 3     # 120
```

### Statistics
```bash
python scripts/math_calculator.py mean '[1,2,3,4,5]'      # 3
python scripts/math_calculator.py variance '[1,2,3,4,5]'  # 2
python scripts/math_calculator.py std_dev '[1,2,3,4,5]'   # sqrt(2)
```

### Utilities
```bash
# Numerical evaluation with precision
python scripts/math_calculator.py evaluate "pi" 50

# LaTeX output
python scripts/math_calculator.py latex "x**2 + 1/x"
# β†’ x^{2} + \frac{1}{x}

# Compare expressions
python scripts/math_calculator.py compare "(x+1)**2" "x**2 + 2*x + 1"
# β†’ equal: true
```

## Expression Syntax

- Powers: `x**2` or `x^2`
- Multiplication: `2*x` or `2x` (implicit)
- Functions: `sin(x)`, `cos(x)`, `exp(x)`, `log(x)`, `sqrt(x)`
- Constants: `pi`, `E`, `I` (imaginary), `oo` (infinity)

## Complex Operations (JSON Input)

For operations requiring structured input:

```bash
# Solve system of equations
python scripts/math_calculator.py solve_system \
  '{"equations": ["x + y = 10", "x - y = 2"], "variables": ["x", "y"]}'

# Substitute values
python scripts/math_calculator.py substitute \
  '{"expr_str": "x**2 + y", "substitutions": {"x": 3, "y": 2}}'

# Matrix multiplication
python scripts/math_calculator.py matrix_mult \
  '{"matrix_a": [[1,2],[3,4]], "matrix_b": [[5,6],[7,8]]}'
```

## Full API Reference

See [references/api_reference.md](references/api_reference.md) for complete documentation of all operations, including:
- All operation names and aliases
- Detailed parameter descriptions
- Output format specifications
- Additional examples

## Dependencies

Requires SymPy:
```bash
pip install sympy
```

Quoted from ananddtyagi/claude-code-marketplace for reference β€” see the original for the authoritative, latest version.

πŸ“„ Full skill instructions β€” original source: ananddtyagi/claude-code-marketplace
The Math Tools skill provides a deterministic computational interface for performing symbolic mathematics directly within your coding environment. By integrating the SymPy library, it eliminates the risks of hallucination or floating-point errors common in LLM-based text generation. This tool is intended for developers, data scientists, and engineers who need rigorous verification for tasks spanning from basic arithmetic to advanced calculus, linear algebra, and number theory. Instead of relying on the LLM to guess the result of an equation or integral, this tool executes specific scripts to return verified, reproducible mathematical answers. It ensures that complex derivations, algebraic simplifications, and statistical computations are handled with algebraic precision. It acts as a reliable calculation engine for scenarios where accuracy is a primary project requirement.

How to Use This Skill Unit

Option A: Project-Specific (Recommended)

  1. Click "Download" above
  2. In your project, create the directory: .agent/skills/skills-ananddtyagi/
  3. Save the file as SKILL.md
  4. The agent will automatically discover the skill based on its description.

Option B: Global Installation (All Agents)

Save the file to these locations to make it available across all projects:

  • Claude Code: ~/.claude/skills/ananddtyagi/claude-code-marketplace/skills-ananddtyagi/SKILL.md
  • Cursor: ~/.cursor/skills/ananddtyagi/claude-code-marketplace/skills-ananddtyagi/SKILL.md
  • Antigravity: ~/.gemini/antigravity/skills/ananddtyagi/claude-code-marketplace/skills-ananddtyagi/SKILL.md

πŸš€ Install with CLI:
npx skills add ananddtyagi/claude-code-marketplace

Read the Master Guide: Mastering Agent Skills β†’

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Take It Further

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Complete Guide

How to use this Skill in Claude Code & Cursor

For Claude Code (CLI)

To use this skill in Claude Code, copy the rule content into your project's custom instructions or follow our Add-Skill CLI guide. This ensures Claude follows your standards during every code generation.

For Cursor & Windsurf

For Cursor or Windsurf, individual skills are best used in the "Rules for AI" section. This specific unit helps the agent avoid python development issues, leading to cleaner, more efficient code.

Why the skill format matters: the standardized Agent Skills format lets your AI agent load detailed instructions only when they are relevant, keeping your prompt clean while improving results.

Source & attribution

This skill is categorized under Python Development and is published by ananddtyagi, maintained in ananddtyagi/claude-code-marketplace.

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