Compute geodesic distances and generate great-circle waypoint routes on Earth.
npx skills add https://github.com/plurigrid/asi --skill geodesic-manifold
Please help me install this Agent Skill. Skill: geodesic-manifold Source: https://github.com/plurigrid/asi/tree/main/skills/geodesic-manifold Command: npx skills add https://github.com/plurigrid/asi --skill geodesic-manifold
Provides algorithms and concepts for geodesic calculations on spheres, color-based encoding, and basic manifold reasoning.
Compute a geodesic color route between two points and inspect the color at each waypoint.
High-intent search queries and answers about installing and using this skill.
Great-circle distance uses the haversine formula to compute the shortest path between two points on a sphere. This Skill implements haversine-based calculations for accurate geodesic distances applicable to flight planning, ship routing, and navigation tasks requiring spherical geometry.
Spherical interpolation (slerp) generates waypoints along a geodesic path between two points on Earth's surface. This Skill applies slerp to create great-circle routes with deterministic color coding at each waypoint, enabling visualization and analysis of optimal navigation paths.
Yes. This Skill implements geodesic colorization using seeded, deterministic color assignment and GF(3)-balanced trit mapping along routes. Color-coded waypoints enable route differentiation and spatial encoding for navigation and visualization workflows.
This Skill integrates with DuckDB for spatial data persistence and analysis after computing geodesic routes. Store waypoint coordinates, distances, and color assignments in DuckDB tables for downstream querying, filtering, and statistical analysis of navigation paths.
Riemannian geometry on the sphere S² provides the metric and connection intuition for geodesic computations. This Skill applies spherical metric concepts alongside haversine distance and slerp interpolation to enable mathematically sound navigation and routing algorithms.
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