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math

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

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
3,611
Hot score
99
Updated
March 20, 2026
Overall rating
C5.7
Composite score
5.7
Best-practice grade
B77.6

Install command

npx @skill-hub/cli install parcadei-continuous-claude-v3-math-unified

Repository

parcadei/Continuous-Claude-v3

Skill path: .claude/skills/math-unified

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

Open repository

Best for

Primary workflow: Ship Full Stack.

Technical facets: Full Stack.

Target audience: everyone.

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: parcadei.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install math into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/parcadei/Continuous-Claude-v3 before adding math to shared team environments
  • Use math for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

Original source / Raw SKILL.md

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

# /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)
```bash
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)
```bash
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)
```bash
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)
```bash
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.
math | SkillHub