parcadei

math

Unified math capabilities - computation, solving, and explanation. I route to the right tool.

parcadei 3,930 299 Updated 7mo ago
GitHub

Install

npx skillscat add parcadei/continuous-claude-v3/math

Install via the SkillsCat registry.

About this skill

The math skill acts as a unified entry point that selects the appropriate tool—such as SymPy, Z3, or Pint—to perform calculations, solve equations, compute integrals, or provide explanations for mathematical queries. Agents or developers should use it when they need to handle diverse math operations without managing multiple specialized commands.

SKILL.md

/math - Unified Math Capabilities

One entry point for all computation and explanation. I route to the right tool based on your request.

For formal proofs, use /prove instead.


Quick Examples

You Say I Use
"Solve x² - 4 = 0" SymPy solve
"Integrate sin(x) from 0 to π" SymPy integrate
"Eigenvalues of [[1,2],[3,4]]" SymPy eigenvalues
"Is x² + 1 > 0 for all x?" Z3 prove
"Convert 5 miles to km" Pint
"Explain what a functor is" Category theory skill

Computation Scripts

SymPy (Symbolic Math)

uv run python "$CLAUDE_PROJECT_DIR/.claude/scripts/cc_math/sympy_compute.py" <command> <args>
Command Description Example
solve Solve equations solve "x**2 - 4" --var x
integrate Definite/indefinite integral integrate "sin(x)" --var x --lower 0 --upper pi
diff Derivative diff "x**3" --var x
simplify Simplify expression simplify "sin(x)**2 + cos(x)**2"
limit Compute limit limit "sin(x)/x" --var x --point 0
series Taylor expansion series "exp(x)" --var x --point 0 --n 5
dsolve Solve ODE dsolve "f''(x) + f(x)" --func f --var x
laplace Laplace transform laplace "sin(t)" --var t

Matrix Operations:

Command Description
det Determinant
eigenvalues Eigenvalues
eigenvectors Eigenvectors with multiplicities
inverse Matrix inverse
transpose Transpose
rref Row echelon form
rank Matrix rank
nullspace Null space basis
linsolve Linear system Ax=b
charpoly Characteristic polynomial

Number Theory:

Command Description
factor Factor polynomial
factorint Prime factorization
isprime Primality test
gcd Greatest common divisor
lcm Least common multiple
modinverse Modular inverse

Combinatorics:

Command Description
binomial C(n,k)
factorial n!
permutation P(n,k)
partition Integer partitions p(n)
catalan Catalan numbers
bell Bell numbers

Z3 (Constraint Solving)

uv run python "$CLAUDE_PROJECT_DIR/.claude/scripts/cc_math/z3_solve.py" <command> <args>
Command Use Case
sat Is this satisfiable?
prove Is this always true?
optimize Find min/max subject to constraints

Pint (Units)

uv run python "$CLAUDE_PROJECT_DIR/.claude/scripts/cc_math/pint_compute.py" convert <value> <from_unit> <to_unit>

Example: convert 5 miles kilometers


Math Router (Auto-Route)

uv run python "$CLAUDE_PROJECT_DIR/.claude/scripts/cc_math/math_router.py" route "<natural language request>"

Returns the exact command to run. Use when unsure which script.


Topic Skills (For Explanation)

When the request is "explain X" or "what is X", I reference these:

Topic Skill Location Key Concepts
Abstract Algebra math/abstract-algebra/ Groups, rings, fields, homomorphisms
Category Theory math/category-theory/ Functors, natural transformations, limits
Complex Analysis math/complex-analysis/ Analytic functions, residues, contour integrals
Functional Analysis math/functional-analysis/ Banach spaces, operators, spectra
Linear Algebra math/linear-algebra/ Matrices, eigenspaces, decompositions
Mathematical Logic math/mathematical-logic/ Propositional, predicate, proof theory
Measure Theory math/measure-theory/ Lebesgue, σ-algebras, integration
Real Analysis math/real-analysis/ Limits, continuity, convergence
Topology math/topology/ Open sets, compactness, connectedness
ODEs/PDEs math/odes-pdes/ Differential equations, boundary problems
Optimization math/optimization/ Convex, LP, gradient methods
Numerical Methods math/numerical-methods/ Approximation, error analysis
Graph/Number Theory math/graph-number-theory/ Graphs, primes, modular arithmetic
Information Theory math/information-theory/ Entropy, coding, channels

Routing Logic

I decide based on your request:

"solve/calculate/compute" → SymPy (exact symbolic)
"is X always true?" → Z3 (constraint proving)
"convert units" → Pint
"explain/what is" → Topic skill for context
"prove formally" → Redirect to /prove

Examples

Solve Equation

User: Solve x² - 5x + 6 = 0
Claude: uv run python "$CLAUDE_PROJECT_DIR/.claude/scripts/cc_math/sympy_compute.py" solve "x**2 - 5*x + 6" --var x
Result: x = 2 or x = 3

Compute Eigenvalues

User: Find eigenvalues of [[2, 1], [1, 2]]
Claude: uv run python "$CLAUDE_PROJECT_DIR/.claude/scripts/cc_math/sympy_compute.py" eigenvalues "[[2,1],[1,2]]"
Result: {1: 1, 3: 1}  (eigenvalue 1 with multiplicity 1, eigenvalue 3 with multiplicity 1)

Prove Inequality

User: Is x² + y² ≥ 2xy always true?
Claude: uv run python "$CLAUDE_PROJECT_DIR/.claude/scripts/cc_math/z3_solve.py" prove "x**2 + y**2 >= 2*x*y"
Result: PROVED (equivalent to (x-y)² ≥ 0)

Convert Units

User: How many kilometers in 26.2 miles?
Claude: uv run python "$CLAUDE_PROJECT_DIR/.claude/scripts/cc_math/pint_compute.py" convert 26.2 miles kilometers
Result: 42.16 km

When to Use /prove Instead

Use /prove when you need:

  • Machine-verified formal proof (Lean 4)
  • Category theory proofs (functors, Yoneda, etc.)
  • Publication-quality verification
  • Abstract algebra proofs

/math is for computation. /prove is for verification.