prime-numbers

Problem-solving strategies for prime numbers in graph number theory

422 stars

Best use case

prime-numbers is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Problem-solving strategies for prime numbers in graph number theory

Teams using prime-numbers should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/prime-numbers/SKILL.md --create-dirs "https://raw.githubusercontent.com/vibeeval/vibecosystem/main/skills/math/graph-number-theory/prime-numbers/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/prime-numbers/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How prime-numbers Compares

Feature / Agentprime-numbersStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Problem-solving strategies for prime numbers in graph number theory

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Prime Numbers

## When to Use

Use this skill when working on prime-numbers problems in graph number theory.

## Decision Tree


1. **Primality testing hierarchy**
   - Trial division: O(sqrt(n)), exact
   - Miller-Rabin: O(k log^3 n), probabilistic
   - AKS: O(log^6 n), deterministic polynomial

2. **Factorization**
   - Trial division for small factors
   - Pollard's rho: probabilistic, medium numbers
   - Quadratic sieve: large numbers
   - `sympy_compute.py factor "n"`

3. **Prime distribution**
   - Prime Number Theorem: pi(x) ~ x/ln(x)
   - Prime gaps: p_{n+1} - p_n
   - `sympy_compute.py limit "pi(x) * ln(x) / x"`

4. **Fermat's Little Theorem**
   - a^{p-1} = 1 (mod p) for a not divisible by p
   - Use for modular exponentiation
   - `z3_solve.py prove "fermat_little"`

5. **Wilson's Theorem**
   - (p-1)! = -1 (mod p) iff p is prime


## Tool Commands

### Sympy_Factor
```bash
uv run python -m runtime.harness scripts/sympy_compute.py factor "n"
```

### Z3_Primality
```bash
uv run python -m runtime.harness scripts/z3_solve.py prove "no_divisor_between_1_and_sqrt_n"
```

### Sympy_Prime_Count
```bash
uv run python -m runtime.harness scripts/sympy_compute.py simplify "pi(x) ~ x/ln(x)"
```

### Z3_Fermat_Little
```bash
uv run python -m runtime.harness scripts/z3_solve.py prove "a**(p-1) == 1 mod p"
```

## Key Techniques

*From indexed textbooks:*


## Cognitive Tools Reference

See `.claude/skills/math-mode/SKILL.md` for full tool documentation.

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