scvi-tools

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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 in...

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#analysis#RNA#multiome RNA#batch correction#RNA velocity#reference mapping#multiome#reference

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Installation for Agentic Skill

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Claude Code (CLI) Fast

skilz install anthropics/life-sciences/scvi-tools

OpenCode (CLI) Fast

skilz install anthropics/life-sciences/scvi-tools --agent opencode

OpenAI Codex (CLI) Native

skilz install anthropics/life-sciences/scvi-tools --agent codex

Gemini CLI (Project) Project

skilz install anthropics/life-sciences/scvi-tools --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

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For Claude Desktop Easy

Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

Manual Installation

1. Clone the repository:

git clone https://github.com/anthropics/life-sciences

2. Copy the agent skill directory:

cp -r life-sciences/scvi-tools ~/.claude/skills/

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AI-Detected Topics

Extracted using NLP analysis

analysis RNA multiome RNA batch correction RNA velocity reference mapping multiome reference label transfer batch

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