Math
Route math problems to the right tool—compute, solve, explain
What You Can Do
Solve algebraic and transcendental equations, compute derivatives and integrals, perform matrix operations, simplify expressions, compute limits and series expansions, solve differential equations, and convert units. Claude automatically selects the best computational engine for your problem—SymPy for symbolic math, Z3 for logical proofs, Pint for unit conversion—so you get fast, verified answers without manual tool selection.
Features
symbolic and numerical solutions for polynomials, transcendental, and systems of equations
derivatives, indefinite/definite integrals, limits, Taylor series, and Laplace transforms
eigenvalues, eigenvectors, determinants, inverses, rank, row echelon form, and transpose
solve ODEs and systems with initial conditions using symbolic methods
algebraic, trigonometric, and logarithmic simplification with step-by-step reduction
convert between physical units (distance, mass, temperature, etc.) with automatic scaling
route to /prove for machine-verified formal proofs in Lean 4 or category theory
Claude explains mathematical concepts, theorems, and results in plain English
Example Output
Example 1: Solve a differential equation
Input: "Solve y'' + y = cos(x)"
Output:
General solution: y(x) = C₁·sin(x) + C₂·cos(x) + (x/2)·sin(x)
Explanation: The homogeneous solution is C₁·sin(x) + C₂·cos(x). The particular solution uses the method of undetermined coefficients, yielding (x/2)·sin(x).
Example 2: Eigenvalues of a matrix
Input: "Find eigenvalues and eigenvectors of [[2, 1], [1, 2]]"
Output:
Eigenvalues: λ₁ = 3, λ₂ = 1
Eigenvector for λ = 3: [1, 1]
Eigenvector for λ = 1: [1, -1]
Example 3: Unit conversion
Input: "Convert 5 miles per hour to meters per second"
Output: 5 mi/h = 2.24 m/s
What's Included
- SKILL.md: Core skill definition with triggers and tool routing logic
- SymPy computation scripts: Pre-built Python modules for solve, integrate, diff, simplify, limit, series, dsolve, Laplace, and matrix operations
- Z3 integration: Logical proof engine for inequality verification and boolean satisfiability
- Pint unit conversion module: Comprehensive unit database with automatic dimensional analysis
- Quick reference table: Command syntax and examples for all 20+ math operations
Who It's For
- Engineers — solve systems of equations, compute eigenvalues, verify design constraints
- Research scientists — symbolic integration, differential equation solving, dimensional analysis
- Mathematics tutors — explain concepts, verify student solutions, generate worked examples
- Physics students — Laplace transforms, ODE solving, unit conversion for problem sets
- Data scientists — matrix algebra, eigenvalue decomposition, symbolic variable handling
Best For
- Solving algebraic and transcendental equations with symbolic verification
- Calculus operations (derivatives, integrals, limits) with step-by-step breakdowns
- Linear algebra tasks (eigenvalues, matrix rank, inversion) for ML and scientific computing
- Differential equation solving (ODEs and systems) for physics and engineering
- Unit conversion and dimensional analysis across engineering and scientific domains
- Expression simplification and mathematical proof assistance
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