math
تایید شدهUnified math capabilities - computation, solving, and explanation. I route to the right tool.
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نصب مهارت
مهارتها کدهای شخص ثالث از مخازن عمومی GitHub هستند. SkillHub الگوهای مخرب شناختهشده را اسکن میکند اما نمیتواند امنیت را تضمین کند. قبل از نصب، کد منبع را بررسی کنید.
نصب سراسری (سطح کاربر):
npx skillhub install parcadei/Continuous-Claude-v3/mathنصب در پروژه فعلی:
npx skillhub install parcadei/Continuous-Claude-v3/math --projectمسیر پیشنهادی: ~/.claude/skills/math/
بررسی هوش مصنوعی
کیفیت دستورالعمل60
دقت توضیحات65
کاربردی بودن65
صحت فنی50
Scored 61 — excellent trigger coverage (16 phrases) and comprehensive command tables. The routing concept is well-designed. Critical gap: computation scripts are not included in the skill — they must exist at $CLAUDE_PROJECT_DIR paths, making this skill non-portable.
محتوای SKILL.md
---
name: math
description: Unified math capabilities - computation, solving, and explanation. I route to the right tool.
triggers: ["calculate", "compute", "solve", "integrate", "derivative", "eigenvalue", "matrix", "simplify", "factor", "limit", "series", "differential equation", "unit convert", "explain", "what is", "how does"]
allowed-tools: [Bash, Read, Write]
priority: high
---
# /math - Unified Math Capabilities
**One entry point for all computation and explanation.** I route to the right tool based on your request.
For formal proofs, use `/prove` instead.
---
## Quick Examples
| You Say | I Use |
|---------|-------|
| "Solve x² - 4 = 0" | SymPy solve |
| "Integrate sin(x) from 0 to π" | SymPy integrate |
| "Eigenvalues of [[1,2],[3,4]]" | SymPy eigenvalues |
| "Is x² + 1 > 0 for all x?" | Z3 prove |
| "Convert 5 miles to km" | Pint |
| "Explain what a functor is" | Category theory skill |
---
## Computation Scripts
### SymPy (Symbolic Math)
```bash
uv run python "$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.