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v1.0.0anthropics/knowledge-work-plugins/scvi-tools
anthropics·AI/ML·anthropics/knowledge-work-plugins·bio-research·bio-research/skills/scvi-tools/SKILL.md ↗·Updated Mar 10, 2026
Deep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space.
vendoranthropics
Install# npm $ npx vskill install anthropics/knowledge-work-plugins/scvi-tools # bun $ bunx vskill install anthropics/knowledge-work-plugins/scvi-tools # pnpm $ pnpx vskill install anthropics/knowledge-work-plugins/scvi-tools # yarn $ yarn dlx vskill install anthropics/knowledge-work-plugins/scvi-tools # alternative $ npx vskill install anthropics/knowledge-work-plugins --skill scvi-tools
── Security ────────────────────────────────────────
── Quality Evaluation ──────────────────────────────
QualityWARN 68/100Marginal2 runsEvaluated 9d ago
View eval results →8.3kstars871forks457d trend
5d agoWorks with all 39 vskill-compatible agents
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