Deep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer learning, differential expression with uncertainty, or multi-modal integration (TOTALVI, MultiVI). Best for advanced modeling, batch effects, multimodal data. For standard analysis pipelines use scanpy.
安装
npx skills add K-Dense-AI/scientific-agent-skills --skill scvi-toolsnpx skills add K-Dense-AI/scientific-agent-skills --skill scvi-tools -a claude-code -gnpx skills add K-Dense-AI/scientific-agent-skills --skill scvi-tools -a codex -ggemini skills install https://github.com/K-Dense-AI/scientific-agent-skills.git --path scientific-skills/scvi-toolsgh skill install K-Dense-AI/scientific-agent-skills scvi-toolsgit clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills /tmp/K-Dense-AI__scientific-agent-skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/K-Dense-AI__scientific-agent-skills/scientific-skills/scvi-tools ~/.claude/skills/scvi-tools # Claude Code
cp -R /tmp/K-Dense-AI__scientific-agent-skills/scientific-skills/scvi-tools ~/.agents/skills/scvi-tools # Codex, Cursor, Gemini CLI, Copilot, OpenCode