Single Cell Rna Qc
anthropics/knowledge-work-pluginsSingle-cell RNA sequencing produces a lot of data. Some cells are low quality and can mess up your results. This quality control workflow finds and removes those bad cells automatically.
It follows best practices from the scverse community. The tool uses MAD-based filtering to spot outliers. It also creates helpful pictures like QC visualizations before and after filtering.
You can use it on standard .h5ad files or .h5 files from 10X Genomics. Just run one command and get a clean dataset ready for further analysis.
Add Single Cell Rna Qc skill to your workflow
Global
mkdir -p ~/.claude/skills/single-cell-rna-qcProject
mkdir -p .claude/skills/single-cell-rna-qcSource Repository
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