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lingxling/scientific-agent-skills

v2.72.0MIT

Ready-to-use scientific and research Agent Skills for biology, chemistry, medicine, and related workflows.

cellxgene-census

Queries the CZ CELLxGENE Census programmatically for versioned public single-cell and spatial transcriptomics data. Use when you need population-scale cell metadata, gene expression slices, Census summary counts, source H5AD URIs/downloads, embeddings, spatial Census data, or reference atlas comparisons across organisms, tissues, diseases, assays, and cell types. For analyzing your own local single-cell data use scanpy, anndata, or scvi-tools.

Version
1.5
License
MIT
Compatibility
Requires Linux or macOS, Python 3.10+ and network access to public HTTPS manifests and S3. Tested with Python 3.12, cellxgene-census 1.18.0 and TileDB-SOMA 2.3.0. Spatial export needs the spatial extra; ML needs tiledbsoma-ml and PyTorch. No Census credentials required.
Read SKILL.md at the source

Pinned to revision 68105dd992f1, so it is the text this page describes rather than whatever the author pushed since.

Pre-approved tools experimental

Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.

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