Mars Custom Distance Metric

cxcscmu/mars-custom-distance-metric

Implement weighted custom distance metric for DBSCAN clustering. Use this skill when working with DBSCAN on Mars cloud data where distances need to be weighted differently across x and y axes using a shape_weight parameter (w). The custom metric is d(a,b) = sqrt((w*Δx)² + ((2-w)*Δy)²), controlling whether x-distances or y-distances are attenuated.

694 tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/cxcscmu/SkillLearnBench --skill mars-custom-distance-metric

How to use it

Copy the folder

Take cxcscmu/mars-custom-distance-metric from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.