spatial-transcriptomics-analysis

SkillDev tools

The largest open-source medical AI skills library for OpenClaw🦞.

Use spatial-transcriptomics-analysis in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add spatial-transcriptomics-analysis and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the spatial-transcriptomics-analysis skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

spatial-transcriptomics-analysisStart free

What this skill tells your AI

The instructions your AI receives, as published by freedomintelligence/openclaw-medical-skills in skills/spatial-transcriptomics-analysis/SKILL.md and read by Ahel’s review.


name: spatial-transcriptomics-analysis description: Automated analysis pipeline for Spatial Transcriptomics (Visium, Xenium) integrating histology and gene expression. keywords:

  • spatial-transcriptomics
  • visium
  • xenium
  • scanpy
  • squidpy measurable_outcome: Process a Visium dataset, identify spatially variable genes, and generate spatial feature plots within 30 minutes. license: MIT metadata: author: MD BABU MIA, PhD version: "1.0.0" compatibility:
  • system: python 3.9+ allowed-tools:
  • run_shell_command
  • read_file
  • write_file

Spatial Transcriptomics Skill

Version: 1.0.0 Author: MD BABU MIA, PhD Date: February 2026

Overview

This skill provides automated analysis capabilities for Spatial Transcriptomics data, specifically designed for 10x Visium and Xenium platforms. It enables the integration of histological data with gene expression profiles to uncover spatial organization of cell types.

Capabilities

  1. Data Loading: Supports Spaceranger output (h5, images).
  2. QC & Preprocessing: Spatial QC metrics, normalization.
  3. Spatial Variable Features: Identification of spatially variable genes (SVGs) using Moran's I and Geary's C.
  4. Deconvolution: Interface for cell type deconvolution (mapping scRNA-seq to spatial).
  5. Visualization: Interactive spatial plots overlaying gene expression on tissue images.

Usage

from Skills.Genomics.Spatial_Transcriptomics.spatial_analyzer import SpatialAnalyzer

# Initialize
sa = SpatialAnalyzer(data_path="./data/visium_sample1")

# Run Pipeline
sa.load_data()
sa.preprocess()
sa.find_spatial_features()
sa.plot_spatial("INS", save_path="./output/insulin_spatial.png")

Requirements

  • scanpy
  • squidpy
  • anndata
  • matplotlib

Signals

GitHub stars
3k
Forks
412
Last commit
Jul 2026
Advanced
Item type
skill
Key
spatial-transcriptomics-analysis
Source
github.com/freedomintelligence/openclaw-medical-skills