
Scvi Tools
by anthropicsae1513ea94dcNo license27K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated today
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.
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Read https://sourceweft.com/skills/gh-anthropics-knowledge-work-plugins-scvi-tools/install.md and install the skill it describes. Before installing, show me its source, license and whether it ships scripts, and wait for my OK. Ask me before changing anything else on my machine.Install it yourself from a terminal
For Claude Code, Codex, Cursor and other local agents. The SourceWeft CLI fetches the skill from its source repository at the commit scanned here, and verifies every file against the hashes recorded when the skill was scanned. If anything differs, nothing is written.
npx @sourceweft/cli skills install gh-anthropics-knowledge-work-plugins-scvi-toolsAdd --agent claude-code, codex, cursor or universal to choose which agent gets it (Claude Code by default).
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Upstream installer — not verified by SourceWeft
The open-source skills installer fetches the same pinned commit, but does not check the files against the hashes SourceWeft recorded.
npx skills add https://github.com/anthropics/knowledge-work-plugins/tree/ae1513ea94dcb74a7f1505ddcf3b0ec3fab327f1/bio-research/skills/scvi-toolsSource and attribution
Source:anthropics/knowledge-work-pluginsinbio-research/skills/scvi-toolsat commitae1513e
License: No license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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