# Comfyui Core

Core ComfyUI knowledge covering workflow format, node types, pipeline patterns, and MCP...

- Repository: https://github.com/artokun/comfyui-mcp (883 stars)
- Category: AI and agents
- License: MIT
- Last updated: 2026-10-26
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add artokun/comfyui-mcp --skill comfyui-core -g -a claude-code -y`
Codex: `npx skills add artokun/comfyui-mcp --skill comfyui-core -g -a codex -y`
Cursor: `npx skills add artokun/comfyui-mcp --skill comfyui-core -g -a cursor -y`
Gemini CLI: `npx skills add artokun/comfyui-mcp --skill comfyui-core -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add artokun/comfyui-mcp`

## Description

Core ComfyUI knowledge covering workflow format, node types, pipeline patterns, and MCP tool usage

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# ComfyUI Core Knowledge

## Workflow JSON Format (API Format)

ComfyUI workflows are JSON objects mapping string node IDs to node definitions:

```json
{
  "1": {
    "class_type": "CheckpointLoaderSimple",
    "inputs": { "ckpt_name": "sd_xl_base_1.0.safetensors" },
    "_meta": { "title": "Load Checkpoint" }
  },
  "2": {
    "class_type": "CLIPTextEncode",
    "inputs": { "text": "a cat", "clip": ["1", 1] },
    "_meta": { "title": "Positive Prompt" }
  }
}
```

### Key Rules

- Node IDs are strings of integers (`"1"`, `"2"`, etc.)
- `class_type` is the exact Python class name of the node
- `inputs` contains both widget values (scalars) and connections (arrays)
- Connections use the format `["sourceNodeId", outputIndex]`, a 2-element array where:
  - the first element is the string node ID of the source node
  - the second element is the integer index into the source node's `output` list (0-based)
- `_meta` is optional and used for display titles only

### Connection Examples

```json
"model": ["1", 0]       // Connect to node 1's first output (MODEL)
"clip": ["1", 1]        // Connect to node 1's second output (CLIP)
"vae": ["1", 2]         // Connect to node 1's third output (VAE)
"positive": ["2", 0]    // Connect to node 2's first output (CONDITIONING)
"samples": ["5", 0]     // Connect to node 5's first output (LATENT)
"images": ["6", 0]      // Connect to node 6's first output (IMAGE)
```

### Important: API Format vs Web UI Format

The rest: https://github.com/artokun/comfyui-mcp/blob/HEAD/plugin/skills/comfyui-core/SKILL.md