comfyui-core

Explain ComfyUI workflow JSON formats, node schemas, and MCP tool usage.

530|85|Updated Feb 15, 2026
One-click install
npx skills add https://github.com/artokun/comfyui-mcp --skill comfyui-core
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: comfyui-core
Source: https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/comfyui-core
Command: npx skills add https://github.com/artokun/comfyui-mcp --skill comfyui-core

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides comprehensive knowledge about ComfyUI's workflow structure, node functionalities, and the MCP toolset, enabling users to understand, create, and manage complex image generation pipelines efficiently.

Core Features & Use Cases

  • Workflow Understanding: Deciphers ComfyUI's API and Web UI formats, explains node connections and data types.
  • Pipeline Patterns: Details standard workflows like text-to-image, image-to-image, and upscaling.
  • MCP Tool Usage: Guides on using tools for workflow creation, modification, visualization, model management, and queue control.
  • Use Case: You need to create a workflow for generating images with a specific LoRA. This Skill can explain how to load the LoRA, connect it correctly, and set the KSampler parameters for optimal results.

Quick Start

Analyze the attached workflow file 'portrait_workflow.json' to understand its structure and identify key nodes.

Frequently Asked Questions about comfyui-core

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

FAQPage Schema
How do I structure a ComfyUI workflow JSON file for image generation?

ComfyUI workflow JSON files define image generation pipelines through node schemas and connections. This Skill deciphers the API and Web UI formats, explaining data types and how nodes link together to execute standard text-to-image or image-to-image processes.

How does ComfyUI handle node connections and data types in a pipeline?

ComfyUI pipelines route data between nodes via typed connections. This Skill details standard pipeline patterns and node schemas, clarifying how different data types interact across nodes to ensure your image generation workflow executes correctly.

What's the best way to integrate a specific LoRA into a ComfyUI pipeline?

To integrate a LoRA, you must load the model and correctly connect it to your KSampler node. This Skill guides setting optimal KSampler parameters and managing model connections to achieve the desired image generation results.

Can I use MCP tools to modify and manage ComfyUI workflows?

Yes, MCP tools can be used for workflow creation, modification, and visualization. This Skill provides guidance on leveraging the MCP toolset to manage models, control the execution queue, and manipulate your image generation pipelines.

What are the standard pipeline patterns available in ComfyUI?

Standard ComfyUI pipeline patterns include text-to-image, image-to-image, and upscaling workflows. This Skill explains these patterns in depth, covering best practices for model management and workflow execution to help you build efficient pipelines.

Why are my ComfyUI nodes not connecting properly in the workflow?

Node connection issues in ComfyUI workflows often stem from mismatched data types or incorrect pipeline structures. This Skill helps you understand node schemas and data types to troubleshoot and ensure proper workflow execution.