scvi-tools
This skill provides access to scvi-tools, a Python framework for probabilistic modeling of single-cell genomics data. It handles RNA-seq, ATAC-seq, multimodal integration, and spatial transcriptomics through variational autoencoders. The skill includes detailed workflows, code examples, and best practices for data preprocessing, model training, and downstream analysis.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install microck-ordinary-claude-skills-scvi-tools
Repository
Skill path: skills_categorized/lab-tools/scvi-tools
This skill provides access to scvi-tools, a Python framework for probabilistic modeling of single-cell genomics data. It handles RNA-seq, ATAC-seq, multimodal integration, and spatial transcriptomics through variational autoencoders. The skill includes detailed workflows, code examples, and best practices for data preprocessing, model training, and downstream analysis.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI, Integration.
Target audience: AI/ML teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: Microck.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install scvi-tools into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/Microck/ordinary-claude-skills before adding scvi-tools to shared team environments
- Use scvi-tools for ai/ml workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.