CE
Automation
cellular-senescence-agent
Cellular senescence analysis: marker scoring, SASP profiling, tissue aging assessment.
FreedomIntelligence/OpenClaw-Medical-SkillsView
Automation
SP
spatial-data-io
Maintainer FreedomIntelligence · Last updated April 1, 2026
spatial-data-io.
Original source
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/spatial-data-io
- Maintainer
- FreedomIntelligence
- License
- MIT
- Last updated
- April 1, 2026
Skill Snapshot
Key Details From SKILL.md
Key Notes
- Load and work with spatial transcriptomics data from various platforms.
- adata = sq.read.visium('path/to/spaceranger/output/') print(f'Loaded {adata.n_obs} spots, {adata.n_vars} genes').
Source Doc
Excerpt From SKILL.md
Spatial coordinates are in adata.obsm['spatial']
print(f"Spatial coords shape: {adata.obsm['spatial'].shape}")
Image is in adata.uns['spatial']
library_id = list(adata.uns['spatial'].keys())[0] print(f'Library ID: {library_id}')
## Alternative using Scanpy directly
adata = sc.read_visium('path/to/spaceranger/output/')
Use cases
- Use spatial-data-io in research workflows aligned with this subject area.
- Follow the upstream documentation for the full working procedure.
Not for
- Do not rely on this catalog entry alone for installation or maintenance details.
Upstream Related Skills
- spatial-preprocessing - QC and normalization after loading
- spatial-visualization - Plot spatial data
- single-cell/data-io - Non-spatial scRNA-seq data loading
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