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SkillHub ClubAnalyze Data & AIFull StackData / AI

custom-distance-metrics

Define custom distance/similarity metrics for clustering and ML algorithms. Use when working with DBSCAN, sklearn, or scipy distance functions with application-specific metrics.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
782
Hot score
99
Updated
March 20, 2026
Overall rating
C4.8
Composite score
4.8
Best-practice grade
F0.0

Install command

npx @skill-hub/cli install benchflow-ai-skillsbench-custom-distance-metrics

Repository

benchflow-ai/SkillsBench

Skill path: tasks_no_script_no_ref/mars-clouds-clustering/environment/skills/custom-distance-metrics

Define custom distance/similarity metrics for clustering and ML algorithms. Use when working with DBSCAN, sklearn, or scipy distance functions with application-specific metrics.

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Full Stack, Data / AI.

Target audience: everyone.

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: benchflow-ai.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install custom-distance-metrics into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/benchflow-ai/SkillsBench before adding custom-distance-metrics to shared team environments
  • Use custom-distance-metrics for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.