scanpy
This skill provides a complete workflow for single-cell RNA-seq analysis using Scanpy, covering data loading, QC, normalization, dimensionality reduction, clustering, and visualization. It includes practical code examples for common tasks and publication-quality figure customization.
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 k-dense-ai-claude-scientific-skills-scanpy
Repository
Skill path: scientific-skills/scanpy
This skill provides a complete workflow for single-cell RNA-seq analysis using Scanpy, covering data loading, QC, normalization, dimensionality reduction, clustering, and visualization. It includes practical code examples for common tasks and publication-quality figure customization.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI, Full Stack.
Target audience: AI/ML teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: K-Dense-AI.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install scanpy into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/K-Dense-AI/claude-scientific-skills before adding scanpy to shared team environments
- Use scanpy for ai/ml workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.