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SpatialAgent

Maintainer FreedomIntelligence · Last updated April 1, 2026

SpatialAgent.

OpenClawNanoClawAnalysisReproductionspatialagentopenclaw medical skillsadditional scientific toolsspatialagent

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/SpatialAgent

Skill Snapshot

2 min

SpatialAgent focuses on the biological interpretation of spatial transcriptomics data, specifically aiming to propose mechanistic hypotheses about tissue organization and cellular interactions.
Mechanistic Interpretation: When you have clusters or spatial domains and need to understand why they are organized that way.
Cell-Cell Interaction: To predict and interpret ligand-receptor interactions in a spatial context.
Hypothesis Generation: To propose biological mechanisms driving the observed spatial heterogeneity.
Mechanistic Interpretation: When you have clusters or spatial domains and need to understand why they are organized that way. Cell-Cell Interaction: To predict and interpret ligand-receptor interactions in a spatial context. * Hypothesis Generation: To propose biological mechanisms driving the observed spatial heterogeneity.

Source Doc

Tissue Organization Analysis: Decodes the structural logic of tissues (e.g., layers, niches).
Cellular Interaction Prediction: Identifies potential signaling pathways active at domain boundaries.
Hypothesis Proposal: Generates testable biological hypotheses based on spatial data.

Input Analysis: Accepts processed ST data (e.g., cluster annotations, DEG lists per spatial domain).
Knowledge Retrieval: Queries biological knowledge bases regarding the observed cell types and genes.
Synthesis: Constructs a narrative explaining the spatial arrangement (e.g., "The proximity of fibroblasts and tumor cells suggests a desmoplastic reaction mediated by TGF-beta signaling...").

User: "Why are the macrophages located at the boundary of the tumor core in this sample?"

Agent Action:

Analyzes the gene expression of macrophages and adjacent tumor cells.
Checks for ligand-receptor pairs (e.g., CSF1-CSF1R).
Proposes: "Macrophages are likely recruited by CSF1 secreted by the tumor cells, forming an immunosuppressive barrier..."