math

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统一数学能力入口,通过路由分发至SymPy、Z3或Pint等工具,执行符号计算、方程求解、约束满足及单位转换,并提供相关概念解释。

.claude/skills/math-unified/SKILL.md parcadei/Continuous-Claude-v3

Trigger Scenarios

需要执行数学计算或公式求解 进行单位换算 查询数学概念解释

Install

npx skills add parcadei/Continuous-Claude-v3 --skill math -g -y
More Options

Non-standard path

npx skills add https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/math-unified -g -y

Use without installing

npx skills use parcadei/Continuous-Claude-v3@math

指定 Agent (Claude Code)

npx skills add parcadei/Continuous-Claude-v3 --skill math -a claude-code -g -y

安装 repo 全部 skill

npx skills add parcadei/Continuous-Claude-v3 --all -g -y

预览 repo 内 skill

npx skills add parcadei/Continuous-Claude-v3 --list

SKILL.md

Frontmatter
{
    "name": "math",
    "priority": "high",
    "triggers": [
        "calculate",
        "compute",
        "solve",
        "integrate",
        "derivative",
        "eigenvalue",
        "matrix",
        "simplify",
        "factor",
        "limit",
        "series",
        "differential equation",
        "unit convert",
        "explain",
        "what is",
        "how does"
    ],
    "description": "Unified math capabilities - computation, solving, and explanation. I route to the right tool.",
    "allowed-tools": [
        "Bash",
        "Read",
        "Write"
    ]
}

/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.

Version History

  • d07ff4b Current 2026-08-20 12:47

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Metadata

Files
0
Version
d07ff4b
Hash
0897feb1
Indexed
2026-08-20 12:47

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