How do I install the Comfy Analyze skill?

Run npx skillmds@latest add tomevault-io/comfy-analyze in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

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Is Comfy Analyze free to use?

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Who published Comfy Analyze?

tomevault-io (@tomevault-io) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Comfy Analyze by tomevault-io — Agent Skill

Name: Comfy Analyze
Author: tomevault-io

File contents

ComfyUI Workflow Analysis

Understand workflow structure and node connections.

MCP Tools

Tool	When to use
`comfy_read`	First step - get human-readable summary of any workflow
`comfy_trace`	See a specific node's inputs and outputs with slot names
`comfy_upstream`	Find all nodes feeding INTO a target node
`comfy_downstream`	Find all nodes FED BY a source node

Workflow

Summarize: comfy_read(workflow) → pattern, key params, flow
Deep dive: comfy_trace(workflow, node_id) → specific connections
Follow data: comfy_upstream/comfy_downstream → trace the graph

What comfy_read Returns

## Pattern: Flux txt2img +LoRA

## Key Parameters
  model: flux-dev.safetensors
  steps: 20
  cfg: 3.5

## Variables (3)
  $model <- Node 1 (CheckpointLoader)

## Flow
  [image] 1 -> 5 -> 12 -> 15

What comfy_trace Returns

[Node 577] WanVideoSampler

  INPUTS:
    [0] model <- Node 608 (GetNode, slot 0)
    [1] image_embeds <- Node 1179 (WanVideoVACEEncode, slot 0)

  OUTPUTS:
    [0] samples -> Node 595 (WanVideoDecode, slot 1)

CLI Equivalents

If MCP isn't available, use CLI commands:

MCP Tool	CLI Command
`comfy_read`	`python we_vibin.py analyze workflow.json`
`comfy_trace`	`python we_vibin.py trace workflow.json NODE`
`comfy_upstream`	`python we_vibin.py upstream workflow.json NODE`
`comfy_downstream`	`python we_vibin.py downstream workflow.json NODE`

Setup

Requires MCP server. See MCP_SETUP.md.

Converted and distributed by TomeVault — claim your Tome and manage your conversions.

---name: comfy-analyzedescription: Use when understanding a ComfyUI workflow, analyzing what a workflow does, tracing node connections, finding upstream/downstream nodes, or reading workflow JSON.---# ComfyUI Workflow AnalysisUnderstand workflow structure and node connections.## MCP Tools| Tool | When to use ||------|-------------|| `comfy_read` | First step - get human-readable summary of any workflow || `comfy_trace` | See a specific node's inputs and outputs with slot names || `comfy_upstream` | Find all nodes feeding INTO a target node || `comfy_downstream` | Find all nodes FED BY a source node |## Workflow1. **Summarize**: `comfy_read(workflow)` → pattern, key params, flow2. **Deep dive**: `comfy_trace(workflow, node_id)` → specific connections3. **Follow data**: `comfy_upstream`/`comfy_downstream` → trace the graph## What comfy_read Returns```## Pattern: Flux txt2img +LoRA## Key Parameters model: flux-dev.safetensors steps: 20 cfg: 3.5## Variables (3) $model <- Node 1 (CheckpointLoader)## Flow [image] 1 -> 5 -> 12 -> 15```## What comfy_trace Returns```[Node 577] WanVideoSampler INPUTS: [0] model <- Node 608 (GetNode, slot 0) [1] image_embeds <- Node 1179 (WanVideoVACEEncode, slot 0) OUTPUTS: [0] samples -> Node 595 (WanVideoDecode, slot 1)```## CLI EquivalentsIf MCP isn't available, use CLI commands:| MCP Tool | CLI Command ||----------|-------------|| `comfy_read` | `python we_vibin.py analyze workflow.json` || `comfy_trace` | `python we_vibin.py trace workflow.json NODE` || `comfy_upstream` | `python we_vibin.py upstream workflow.json NODE` || `comfy_downstream` | `python we_vibin.py downstream workflow.json NODE` |## SetupRequires MCP server. See [MCP_SETUP.md](../comfy-edit/MCP_SETUP.md).---> Converted and distributed by [TomeVault](https://tomevault.io/claim/peteromallet) — claim your Tome and manage your conversions.

Frequently asked questions

Comfy Analyze