single-cell-rna-qc
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell 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 anthropics-knowledge-work-plugins-single-cell-rna-qc
Repository
Skill path: bio-research/skills/single-cell-rna-qc
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell analysis.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Full Stack, Data / AI.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: anthropics.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install single-cell-rna-qc into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/anthropics/knowledge-work-plugins before adding single-cell-rna-qc to shared team environments
- Use single-cell-rna-qc for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.