cellchat-pkg-local-complete

Provide offline CellChat API references, C++ and R sources, and tutorials for spatial transcriptomics workflows.

1|Updated Dec 3, 2025
One-click install
npx skills add https://github.com/Ketomihine/my_skills --skill cellchat-pkg-local-complete
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cellchat-pkg-local-complete
Source: https://github.com/Ketomihine/my_skills/tree/main/cellchat-pkg-local-complete
Command: npx skills add https://github.com/Ketomihine/my_skills --skill cellchat-pkg-local-complete

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides offline, comprehensive CellChat documentation, including API references, Cpp and R sources, and tutorials, enabling researchers to learn and apply CellChat without relying on online resources.

Core Features & Use Cases

  • Reference Materials: Full API docs (api_functions.md), Cpp source (cpp_source.md), and R source (r_source.md) mirrored for offline access.
  • Guided Tutorials: Step-by-step tutorials covering CellChat workflows for spatial and multi-omics data analysis.
  • Offline Reproducibility: Access to detailed examples and workflows to reproduce analyses locally without network connectivity.
  • Use Case: A researcher can consult tutorials to reproduce a spatial signaling workflow and inspect API functions within a local environment.

Quick Start

Open the references folder to view api_functions.md, cpp_source.md, r_source.md, and tutorials.md. Then follow the tutorials to reproduce a complete CellChat workflow offline.

Frequently Asked Questions about cellchat-pkg-local-complete

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

FAQPage Schema
How do I access CellChat documentation and tutorials for offline use in R?

You can access offline CellChat documentation by opening the references folder containing api_functions.md, r_source.md, and tutorials.md. This provides comprehensive API references and step-by-step R workflows without requiring network connectivity.

What is the best way to reproduce a spatial transcriptomics workflow with CellChat locally?

Reproduce a spatial transcriptomics workflow locally by following the guided tutorials.md file included in the Skill. It provides step-by-step examples covering complete CellChat workflows for spatial data analysis offline.

Can I view the underlying C++ and R source code for CellChat without an internet connection?

Yes, you can view the underlying C++ and R source code offline using the cpp_source.md and r_source.md files provided. These mirrored resources allow researchers to inspect CellChat implementation details locally without internet access.

Do I need any specific dependencies to run CellChat workflows using these offline tutorials?

You need a standard R environment to run CellChat workflows using these offline tutorials. The Skill provides the documentation, API references, and examples, but relies on your existing R setup to execute the code.

Does this offline documentation include examples for intercellular signaling analysis on multi-omics data?

Yes, the offline documentation includes guided tutorials covering CellChat workflows for both spatial and multi-omics data analysis. These tutorials provide detailed examples to help you analyze intercellular signaling locally.