Sympy
Sympy solves symbolic mathematics problems using Python, offering powerful calculations for equations and expressions when numerical solutions aren't sufficient.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add sympy npx -- -y @trustedskills/sympy
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"sympy": {
"command": "npx",
"args": [
"-y",
"@trustedskills/sympy"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill provides access to SymPy, a Python library for symbolic mathematics. It allows AI agents to perform tasks like simplifying equations, solving mathematical expressions, and working with calculus concepts such as derivatives and integrals. The agent can leverage SymPy's capabilities to handle complex mathematical problems programmatically.
When to use it
- Solving Equations: Use when you need an AI agent to solve algebraic or symbolic equations that are difficult to tackle manually.
- Simplifying Expressions: Employ this skill for simplifying complicated mathematical expressions and formulas.
- Calculus Operations: Utilize SymPy for calculating derivatives, integrals, and performing other calculus-related operations.
- Symbolic Manipulation: When needing to manipulate symbolic representations of mathematical objects rather than numerical values.
Key capabilities
- Symbolic equation solving
- Expression simplification
- Calculus (derivatives & integrals)
- Symbolic manipulation
Example prompts
- "Solve the equation x^2 + 3x - 4 = 0 using SymPy."
- "Simplify the expression (x+y)^2 - 2xy."
- "Calculate the derivative of sin(x) with respect to x, using SymPy."
Tips & gotchas
- Requires a Python environment and SymPy library installed.
- The agent's ability is limited by the capabilities of the SymPy library itself; very advanced or specialized mathematical problems might be beyond its scope.
Tags
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| Gen Agent Trust Hub | Pass |
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