ReddRadar
Agent skill
geometry-algorithm-library
Implement computational geometry algorithms
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/algorithms-optimization/skills/geometry-algorithm-library
SKILL.md
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
{
"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"]
}
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
a5c-ai/babysitter
gsd-tools
Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).
a5c-ai/babysitter
model-profile-resolution
Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.
a5c-ai/babysitter
verification-suite
Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.
a5c-ai/babysitter
state-management
STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.
a5c-ai/babysitter
git-integration
Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.
a5c-ai/babysitter
frontmatter-parsing
YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.
Didn't find tool you were looking for?