Spatial Omics Skills

Index spatial omics analysis skills for discovery and reuse.

478|62|Updated Jul 30, 2025
One-click install
npx skills add https://github.com/aristoteleo/PantheonOS --skill spatial-omics-skills
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Spatial Omics Skills
Source: https://github.com/aristoteleo/PantheonOS/tree/main/pantheon/factory/templates/skills/omics/spatial
Command: npx skills add https://github.com/aristoteleo/PantheonOS --skill spatial-omics-skills

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamlines discovery and application of spatial omics analyses by listing available skills and their use-cases.

Core Features & Use Cases

  • Catalogs spatial omics skills such as MOSCOT-based single-cell to spatial mapping, 3D visualization with PyVista, spatial registration, and more.
  • Provides practical use cases and links to detailed skill files for quick onboarding and reuse.
  • Enables fast navigation from high-level index to actionable, file-level instructions for each sub-skill.

Quick Start

Choose a skill from the list and open its Markdown file to start with its workflow.

Frequently Asked Questions about Spatial Omics Skills

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is spatial transcriptomics workflow indexing and when do I need it?

You navigate a central SKILL.md index to browse available spatial omics skills, then open the specific sub-skill Markdown file containing its workflow instructions. This provides immediate access to actionable steps for tasks like MOSCOT mapping or PyVista 3D visualization.

Does this spatial omics index support PyVista 3D visualization and MOSCOT mapping?

It requires a root SKILL.md frontmatter defining the skill name and description, plus optional sub-skill Markdown files with their own frontmatter. No specific dependencies are mandated, making it lightweight for researchers already working within spatial omics environments.

How do I organize multiple spatial omics analysis tools into a reusable index?

You create a root SKILL.md file with frontmatter defining the name and description, then add optional sub-skill Markdown files for each tool like MOSCOT or PyVista. This structure enables fast navigation from a high-level index to actionable file-level instructions.

What is the best way to navigate between Spateo spatial registration and PyVista 3D visualization workflows?

The best way is using a centralized spatial omics skill index that catalogs both Spateo and PyVista workflows. It provides practical use cases and links to detailed skill files, enabling fast navigation from high-level discovery to actionable instructions for each specific analysis task.