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.
Installation
SKILL.md
Automated QC workflow for single-cell RNA-seq data following scverse best practices.
Default recommendation: Use Approach 1 (complete pipeline) unless the user has specific custom requirements or explicitly requests non-standard filtering logic.
For standard QC following scverse best practices, use the convenience script scripts/qcanalysis.py:
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. Source: anthropics/life-sciences.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/anthropics/life-sciences --skill single-cell-rna-qc- Source
- anthropics/life-sciences
- Category
- {}Data Analysis
- Verified
- —
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is 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. Source: anthropics/life-sciences.
How do I install single-cell-rna-qc?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/anthropics/life-sciences --skill single-cell-rna-qc Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/anthropics/life-sciences
Details
- Category
- {}Data Analysis
- Source
- user
- First Seen
- 2026-02-01