bio-spatial-transcriptomics-spatial-multiomics
Analyze high-resolution spatial platforms like Slide-seq, Stereo-seq, and Visium HD. Use when working with subcellular resolution or high-density spatial data.
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-spatial-transcriptomics-spatial-multiomics --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Version Compatibility Reference examples tested with: Cellpose 3.0+, matplotlib 3.8+, numpy 1.26+, scanpy 1.10+, scipy 1.12+, spatialdata 0.1+, squidpy 1.3+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Spatial Multi-omics Analysis **"Analyze my high-resolution spatial data"** → Process subcellular-resolution spatial platforms (Xenium, MERFISH, Slide-seq, Stereo-seq) including cell segmentation, binning strategies, and multi-modal integration. - Python: `spatialdata` + `squidpy` for unified multi-platform analysis ## Platform Comparison | Platform | Resolution | Spots/Beads | Coverage | |----------|------------|-------------|----------| | Visium | 55 µm | ~5,000 | Tissue-wide | | Visium HD | 2 µm | ~11M | Subcellular | | Slide-seq | 10 µm | ~100,000 | High-density | | Stereo-seq | 0.5 µm | >200M | Subcellular | | MERFISH | Single-molecule | N/A | Targeted genes | ## Squidpy for High-Resolution Data **Goal:**
- Version Compatibility
- Platform Comparison
- Squidpy for High-Resolution Data
- SpatialData Framework
- Slide-seq/Stereo-seq Processing
- Subcellular Analysis (MERFISH/Xenium)
- Multi-Modal Integration
- Visium HD Specific
- Quality Metrics
- Related Skills
What does the bio-spatial-transcriptomics-spatial-multiomics skill do?
Analyze high-resolution spatial platforms like Slide-seq, Stereo-seq, and Visium HD. Use when working with subcellular resolution or high-density spatial data.
How do I install it?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-spatial-transcriptomics-spatial-multiomics --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.