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woc-image-to-glb vs scikit-learn

woc-image-to-glb and scikit-learn are both developer tools skills. scikit-learn scores higher (89 vs 82 out of 100). scikit-learn has more GitHub stars (48k), and scikit-learn was updated more recently (yesterday). The table compares them side by side.

woc-image-to-glbscikit-learn
Score82 / 10089 / 100
What it doesTurn a reference image into a shipping World of ClaudeCraft GLB through the img2threejs intake gates and the repo's deterministic export, optimize, fingerprint, and test pipeline. Use when asked to create, replace, rebuild, re-export, or re-pin a world asset (prop, furniture, building, landmark, stall, service object) from a concept or reference image.Machine learning in Python with scikit-learn. Use for classification, regression, clustering, model evaluation, and ML pipelines.
PublisherCommunity: levy-streetCommunity: sickn33
GradesMaintenance A, Licence A, Quality AMaintenance A, Licence A, Quality A
npm downloads a weekNot on npmNot on npm
RunsSkillSkill
Works withClaude Code, Claude appsClaude Code, Claude apps
GitHub stars2,30248,364
Last commit20 Oct 202623 Oct 2026
LicenceMITMIT
Listed since20 Oct 202622 Oct 2026
Install woc-image-to-glbInstall scikit-learn

Questions

Is woc-image-to-glb or scikit-learn more popular?

scikit-learn has more GitHub stars: 48,364.

Can I use woc-image-to-glb and scikit-learn together?

Yes. AI assistants can load several skills at once. Install both and the assistant picks the right one for each task.