single-cell-preprocessing-with-omicverse
This skill provides step-by-step instructions for preprocessing single-cell RNA-seq data using the omicverse library. It covers QC, normalization, HVG selection, and embedding generation across CPU, mixed CPU-GPU, and GPU environments. Includes defensive checks for clustering and batch-aware HVG selection patterns.
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 starlitnightly-omicverse-single-preprocessing
Repository
Skill path: .claude/skills/single-preprocessing
This skill provides step-by-step instructions for preprocessing single-cell RNA-seq data using the omicverse library. It covers QC, normalization, HVG selection, and embedding generation across CPU, mixed CPU-GPU, and GPU environments. Includes defensive checks for clustering and batch-aware HVG selection patterns.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI.
Target audience: AI/ML teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: Starlitnightly.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install single-cell-preprocessing-with-omicverse into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/Starlitnightly/omicverse before adding single-cell-preprocessing-with-omicverse to shared team environments
- Use single-cell-preprocessing-with-omicverse for ai/ml workflows
Works across
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Sub-skills: 0.
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