CtrlK
BlogDocsLog inGet started
Tessl Logo

umap-learn

UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.

86

2.13x
Quality

80%

Does it follow best practices?

Impact

98%

2.13x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/bio/umap-learn/SKILL.md
SKILL.md
Quality
Evals
Security

Loading evals

Repository
wu-yc/LabClaw

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.