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npx versuz@latest install freedomintelligence-openclaw-medical-skills-skills-spatial-transcriptomics-analysis-spatialagentgit clone https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills.gitcp OpenClaw-Medical-Skills/SKILL.MD ~/.claude/skills/freedomintelligence-openclaw-medical-skills-skills-spatial-transcriptomics-analysis-spatialagent/SKILL.md<!-- # COPYRIGHT NOTICE # This file is part of the "Universal Biomedical Skills" project. # Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu> # All Rights Reserved. # # This code is proprietary and confidential. # Unauthorized copying of this file, via any medium is strictly prohibited. # # Provenance: Authenticated by MD BABU MIA --> --- name: 'spatial-agent' description: 'An agent that interprets spatial transcriptomics data to propose mechanistic hypotheses and analyze tissue organization.' measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- # SpatialAgent SpatialAgent focuses on the biological interpretation of spatial transcriptomics data, specifically aiming to propose mechanistic hypotheses about tissue organization and cellular interactions. ## When to Use This Skill * **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. ## Core Capabilities 1. **Tissue Organization Analysis**: Decodes the structural logic of tissues (e.g., layers, niches). 2. **Cellular Interaction Prediction**: Identifies potential signaling pathways active at domain boundaries. 3. **Hypothesis Proposal**: Generates testable biological hypotheses based on spatial data. ## Workflow 1. **Input Analysis**: Accepts processed ST data (e.g., cluster annotations, DEG lists per spatial domain). 2. **Knowledge Retrieval**: Queries biological knowledge bases regarding the observed cell types and genes. 3. **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..."). ## Example Usage **User**: "Why are the macrophages located at the boundary of the tumor core in this sample?" **Agent Action**: 1. Analyzes the gene expression of macrophages and adjacent tumor cells. 2. Checks for ligand-receptor pairs (e.g., CSF1-CSF1R). 3. Proposes: "Macrophages are likely recruited by CSF1 secreted by the tumor cells, forming an immunosuppressive barrier..." <!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->