geometry-algorithm-library

Implement computational geometry algorithms

509 stars

Best use case

geometry-algorithm-library is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Implement computational geometry algorithms

Teams using geometry-algorithm-library 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/geometry-algorithm-library/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/algorithms-optimization/skills/geometry-algorithm-library/SKILL.md"

Manual Installation

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

How geometry-algorithm-library Compares

Feature / Agentgeometry-algorithm-libraryStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Implement computational geometry algorithms

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

# Geometry Algorithm Library Skill

## Purpose

Implement computational geometry algorithms for competitive programming and algorithmic problems.

## Capabilities

- Convex hull (Graham scan, Andrew's monotone chain)
- Line intersection algorithms
- Closest pair of points
- Point in polygon tests
- Voronoi diagram, Delaunay triangulation
- Polygon clipping

## Target Processes

- computational-geometry

## Algorithm Catalog

### Convex Hull
- Graham scan O(n log n)
- Andrew's monotone chain O(n log n)
- Jarvis march O(nh)

### Intersection Algorithms
- Line sweep for segment intersection
- Bentley-Ottmann algorithm
- Polygon intersection

### Distance Problems
- Closest pair of points O(n log n)
- Farthest pair (rotating calipers)
- Point-polygon distance

### Triangulation
- Ear clipping O(n^2)
- Delaunay triangulation
- Voronoi diagram

## Input Schema

```json
{
  "type": "object",
  "properties": {
    "algorithm": { "type": "string" },
    "variant": { "type": "string" },
    "language": {
      "type": "string",
      "enum": ["cpp", "python", "java"]
    },
    "includeVisualization": { "type": "boolean", "default": false }
  },
  "required": ["algorithm"]
}
```

## Output Schema

```json
{
  "type": "object",
  "properties": {
    "success": { "type": "boolean" },
    "code": { "type": "string" },
    "complexity": { "type": "object" },
    "usage": { "type": "string" }
  },
  "required": ["success", "code"]
}
```

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