sympy
Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.
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Excerpt from the author’s documentation
Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.
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Topics in the source
- SymPy - Symbolic Mathematics in Python
- Overview
- When to Use This Skill
- Core Capabilities
- 1. Symbolic Computation Basics
- 2. Calculus
- 3. Equation Solving
- 4. Matrices and Linear Algebra
SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations. This skill provides comprehensive guidance for performing symbolic algebra, calculus, linear algebra, equation solving, physics calculations, and code generation using SymPy. Use this skill when: Solving equations symbolically (algebraic, differential, systems of equations) Performing calculus operations (derivatives, integrals, limits, series) Manipulating and simplifying algebraic expressions Working with matrices and linear algebra symbolically Doing physics calculations (mechanics, quantum mechanics, vector analysis) Number theory computations (primes, factorization, modular arithmetic) Geometric calculations (2D/3D geometry, analytic geometry) Converting mathematical expressions to executable code (Python, C, Fortran) Generating LaTeX or other formatted mathematical output Needing exact mathematical results (e.g., sqrt(2) not 1.414...) Creating symbols and expressions: Simplification and manipulation: For detailed basics: See references/core-capabilities.md Derivatives: Integrals: Limits and Series: For detailed calculus operations:
This is an excerpt. Refer to the complete source and its current requirements.
- Source repository
- davila7/claude-code-templates
- Source file
- cli-tool/components/skills/scientific/sympy/SKILL.md
- Fixed revision
- 21be197f100a12b8d0dd9a211cc244c8179f84d3
Requirements
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This record was collected automatically. Its documentation, suitability and runtime behavior have not been manually verified.
Author: davila7/claude-code-templates · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-09T15:01:40.411Z.
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