math

by parcadei3.9k

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

Install

The skill file stays in the publisher's repository.

Paste the copied command in a terminal. It installs this SKILL.md into that agent.

npx skills add parcadei/Continuous-Claude-v3 --skill math-unified -a cursor -y

How do I install math?: Download .claude/skills/math-unified/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does math live?: The publisher keeps it at https://github.com/parcadei/Continuous-Claude-v3.
Which agents can use math?: Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.

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

For formal proofs, use /prove instead.

You Say	I Use
"Solve x² - 4 = 0"	SymPy solve

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`

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

Command	Use Case
`sat`	Is this satisfiable?
`prove`	Is this always true?
`optimize`	Find min/max subject to constraints

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