combinatorial-enumeration

Combinatorial object generation and counting

509 stars

Best use case

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

Combinatorial object generation and counting

Teams using combinatorial-enumeration 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/combinatorial-enumeration/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/mathematics/skills/combinatorial-enumeration/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/combinatorial-enumeration/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How combinatorial-enumeration Compares

Feature / Agent	combinatorial-enumeration	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Combinatorial object generation and counting

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

# Combinatorial Enumeration

## Purpose

Provides combinatorial object generation and counting capabilities for discrete mathematics.

## Capabilities

- Permutation and combination generation
- Partition enumeration
- Generating function computation
- OEIS sequence lookup
- Polya enumeration
- Species theory computations

## Usage Guidelines

1. **Object Definition**: Precisely define combinatorial objects
2. **Generation Strategy**: Choose efficient generation methods
3. **Counting**: Use generating functions for counting
4. **OEIS Lookup**: Search for known sequences

## Tools/Libraries

- OEIS
- SageMath combinat
- SymPy combinatorics

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