SpatialData FAQs

Question 1

When should I use this skill?

Accepted Answer

You should use this skill when building spatial data pipelines, performing coordinate transformations, executing spatial queries (like bounding box or polygon searches), or when you need to link spatial elements to annotation tables using AnnData.

Question 2

How does this skill improve my bioinformatics workflow?

Accepted Answer

It streamlines the development of spatial analysis scripts by providing instant access to best practices for data validation, efficient Zarr/chunked storage handling, and ecosystem integration with tools like napari and spatialdata-plot.

Question 3

What specific spatial elements can this skill help manage?

Accepted Answer

The skill provides expert guidance on handling five core elements: multi-scale Images, segmentation Labels, transcript Points, geometric Shapes (polygons/circles), and Tables (AnnData) for annotations.

Question 4

Does this skill support multi-modal data integration?

Accepted Answer

Yes. It is designed specifically for multi-modal and multi-scale data, helping you perform SQL-like joins between different spatial elements and ensure they are correctly aligned within shared coordinate systems.

Question 5

What does the SpatialData Claude Code skill do?

Accepted Answer

This skill equips Claude with specialized knowledge of the SpatialData Python framework. It enables Claude to assist in managing, analyzing, and visualizing complex spatial omics datasets, including transcriptomics and proteomics, while adhering to OME-NGFF standards.

SpatialData

主な機能

ユースケース

SpatialData

主な機能

ユースケース