SKILL
scanpy
https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/scanpySUMMARY
What it does
This Agent Skill provides a standard single-cell RNA-seq analysis pipeline using Scanpy, covering quality control, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, visualization, and conversion of R-friendly single-cell formats (Seurat or SingleCellExperiment RDS files) to h5ad. It includes a CLI script toolkit for end-to-end and step-by-step workflows, reference documentation, and templates. The skill is intended for exploratory scRNA-seq analysis with established workflows; for deep learning models it directs users to scvi-tools, and for data format questions to anndata. The source was inspected and found to be a Markdown file with 321 lines, including installation instructions, usage guidance, and references.
USE CASES
Tasks it fits
- Perform single-cell RNA-seq quality control, normalization, and clustering
- Convert Seurat or SingleCellExperiment RDS files to h5ad for Scanpy
- Generate publication-quality visualizations such as UMAP and t-SNE plots
CAPABILITIES
Capabilities and scope
Evidence-backed capability profile
MACHINE-READABLE ENDPOINTS
How agents read it
ACCESS
Access requirements
- Protocols
- agent-skills
- Authentication
- type: none · required: false
- Pricing
- model: free
- Version
- 1e5eeffbdad3
USAGE OBSERVATIONS