math

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

parcadei/continuous-claude-v3|Updated Apr 8, 2026

Works with

Claude CodeCursorClineWindsurfCodexGoose

Installation Guide

Select your AI agent

How to use math on Cursor

AI-first code editor with Composer

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

›Cursor installed and configured on your machine
›Node.js 16+ with npm — verify with node --version
›Active project directory where you want to add math

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/parcadei/continuous-claude-v3 --skill math

Fetches math from parcadei/continuous-claude-v3 and configures it for Cursor.

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?

│

│ ── Universal (.agents/skills) ────────────────

│ · Cline · Codex · Goose · Windsurf

│ ●Cursor(selected)

│ · Cursor · Aider · Continue

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/math

Restart Cursor to activate math. Access via /math in your agent's command palette.

⚠

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

›View source on GitHub ›Skills CLI docs ›About Cursor ›What are agent skills?

Documentation

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

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

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

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

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

math

Installation Guide

How to use math on Cursor

Prerequisites

Run the install command

Select Cursor when prompted

Verify installation

Security Notice

Documentation

List & Monetize Your Skill

Use Cases

User Story & Requirements Generation

Competitive Analysis

Roadmap Prioritization

Install Skill

/math - Unified Math Capabilities

Quick Examples

Computation Scripts

SymPy (Symbolic Math)

Z3 (Constraint Solving)

Pint (Units)

Math Router (Auto-Route)

Topic Skills (For Explanation)

Routing Logic

Examples

Solve Equation

Compute Eigenvalues

Prove Inequality

Convert Units

When to Use /prove Instead

Stakeholder Communication

Implementation Guide

Best Practices

When to Use This

Learning Path

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Reviews

Discussion