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    parcadei

    math

    parcadei/math
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    SKILL.md

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    About

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

    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.

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    Repository
    parcadei/continuous-claude-v3
    Files