Geometry Algorithm Library Skill
SkillDev toolsImplement computational geometry algorithms
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Geometry Algorithm Library Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/algorithms-optimization/skills/geometry-algorithm-library/SKILL.md and read by ahel’s review.
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
{
"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
{
"type": "object",
"properties": {
"success": { "type": "boolean" },
"code": { "type": "string" },
"complexity": { "type": "object" },
"usage": { "type": "string" }
},
"required": ["success", "code"]
}
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
geometry-algorithm-library- Source
- github.com/a5c-ai/babysitter
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