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math

Handle equations, calculus, matrices, unit conversions, and mathematical explanations through one entry point. The skill selects a suitable calculation tool or topic guide, including symbolic math tools that work directly with expressions.

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

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适用场景

  • Solve equations and calculate integrals
  • Find matrix eigenvalues
  • Convert between units
  • Understand mathematical concepts

包含的文件(1)

  • SKILL.md6.1 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

/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 SayI 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>
CommandDescriptionExample
solveSolve equationssolve "x**2 - 4" --var x
integrateDefinite/indefinite integralintegrate "sin(x)" --var x --lower 0 --upper pi
diffDerivativediff "x**3" --var x
simplifySimplify expressionsimplify "sin(x)**2 + cos(x)**2"
limitCompute limitlimit "sin(x)/x" --var x --point 0
seriesTaylor expansionseries "exp(x)" --var x --point 0 --n 5
dsolveSolve ODEdsolve "f''(x) + f(x)" --func f --var x
laplaceLaplace transformlaplace "sin(t)" --var t

Matrix Operations:

CommandDescription
detDeterminant
eigenvaluesEigenvalues
eigenvectorsEigenvectors with multiplicities
inverseMatrix inverse
transposeTranspose
rrefRow echelon form
rankMatrix rank
nullspaceNull space basis
linsolveLinear system Ax=b
charpolyCharacteristic polynomial

Number Theory:

CommandDescription
factorFactor polynomial
factorintPrime factorization
isprimePrimality test
gcdGreatest common divisor
lcmLeast common multiple
modinverseModular inverse

Combinatorics:

CommandDescription
binomialC(n,k)
factorialn!
permutationP(n,k)
partitionInteger partitions p(n)
catalanCatalan numbers
bellBell numbers

Z3 (Constraint Solving)

uv run python "$CLAUDE_PROJECT_DIR/.claude/scripts/cc_math/z3_solve.py" <command> <args>
CommandUse Case
satIs this satisfiable?
proveIs this always true?
optimizeFind 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:

TopicSkill LocationKey Concepts
Abstract Algebramath/abstract-algebra/Groups, rings, fields, homomorphisms
Category Theorymath/category-theory/Functors, natural transformations, limits
Complex Analysismath/complex-analysis/Analytic functions, residues, contour integrals
Functional Analysismath/functional-analysis/Banach spaces, operators, spectra
Linear Algebramath/linear-algebra/Matrices, eigenspaces, decompositions
Mathematical Logicmath/mathematical-logic/Propositional, predicate, proof theory
Measure Theorymath/measure-theory/Lebesgue, σ-algebras, integration
Real Analysismath/real-analysis/Limits, continuity, convergence
Topologymath/topology/Open sets, compactness, connectedness
ODEs/PDEsmath/odes-pdes/Differential equations, boundary problems
Optimizationmath/optimization/Convex, LP, gradient methods
Numerical Methodsmath/numerical-methods/Approximation, error analysis
Graph/Number Theorymath/graph-number-theory/Graphs, primes, modular arithmetic
Information Theorymath/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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