If you're analyzing single-cell RNA-seq data, this gives Claude the full scanpy toolkit for the standard workflow: loading h5ad or 10X files, running QC on cell and gene counts, normalizing with log transforms, computing PCA and UMAP embeddings, running Leiden clustering at different resolutions, and identifying marker genes with Wilcoxon tests. The skill includes practical defaults like filtering cells with over 5% mitochondrial counts and using 2000 highly variable genes. It's built around the AnnData object structure, so Claude understands how to access expression matrices, metadata, and embeddings. Really solid for going from raw counts to annotated cell types without writing the boilerplate yourself.

skills.sh installs
325
GitHub stars
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last updated
Aug 21, 2026

Install

$ npx -y skills add davila7/claude-code-templates --skill scanpy --agent claude-code

Installs into .claude/skills of the current project.

Files

Scanpy: Single-Cell Analysis

Overview

Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis.

When to Use This Skill

This skill should be used when:

  • Analyzing single-cell RNA-seq data (.h5ad, 10X, CSV formats)
  • Performing quality control on scRNA-seq datasets
  • Creating UMAP, t-SNE, or PCA visualizations
  • Identifying cell clusters and finding marker genes
  • Annotating cell types based on gene expression
  • Conducting trajectory inference or pseudotime analysis
  • Generating publication-quality single-cell plots

Quick Start

Basic Import and Setup

import scanpy as sc
import pandas as pd
import numpy as np

# Configure settings
# sc.settings.verbosity = 'hint'  # enable for debugging
sc.settings.figdir = './figures/'
sc.print_header()  # in notebooks

Loading Data

# From 10X Genomics
adata = sc.read_10x_mtx('path/to/data/')
adata = sc.read_10x_h5('path/to/data.h5')

Sponsors

Details

Repository
github.com/davila7/claude-code-templates
First seen
Jun 3, 2026

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