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Comfyui Workflow Builder

Checked
mckruz·vlatest·ai-ml·MIT

Visually construct and edit ComfyUI workflows directly within this agent, streamlining your Stable Diffusion image generation.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add mckruz/comfyui-expert --skill comfyui-workflow-builder -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

mckruz

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned mckruz/comfyui-expert at dee27dc3d6.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
6 files, 1,015 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The ComfyUI Workflow Builder skill enables AI agents to construct, modify, and execute complex image generation workflows within the ComfyUI node-based interface. It automates the assembly of nodes and connections required for tasks ranging from simple upscaling to advanced multi-step generative pipelines.

When to use it

  • Automating repetitive image generation tasks that require specific node configurations.
  • Rapidly prototyping new visual styles by assembling existing ComfyUI workflows without manual wiring.
  • Executing complex multi-stage processes like inpainting, outpainting, or iterative refinement chains.
  • Standardizing output quality across a team by deploying pre-validated workflow templates.

Key capabilities

  • Dynamic node creation and configuration within the ComfyUI environment.
  • Automated connection logic between disparate nodes to ensure data flow integrity.
  • Execution of full generative pipelines triggered via natural language or API calls.
  • Integration with various models (e.g., Stable Diffusion, ControlNet) through workflow definition.

Example prompts

  • "Create a ComfyUI workflow that takes an input image, applies a specific face swap model, and outputs the result at 4K resolution."
  • "Build a multi-step pipeline to generate concept art: first create a base sketch, then refine it with texture details, and finally colorize it."
  • "Set up a workflow using ControlNet to maintain structural consistency while varying the artistic style of generated images based on text prompts."

Tips & gotchas

Ensure the target ComfyUI installation is compatible with the specific nodes referenced in the generated workflow. Complex workflows may require additional custom nodes installed locally; verify dependencies before execution to prevent runtime errors.