ComfyUI_Skills_OpenClaw

作者 HuangYuChuh已验证

Agent-friendly ComfyUI workflow skills for OpenClaw, Hermes Agent, Codex, and Claude Code. Turn any ComfyUI workflow into a callable AI agent skill via CLI.

393
Stars
36
Forks
Python
语言
2026/8/23
添加时间

⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/HuangYuChuh/ComfyUI_Skills_OpenClaw

快速入门

使用 ComfyUI_Skills_OpenClaw 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

Overview

ComfyUI Skills for OpenClaw is an agent-friendly bridge that turns ComfyUI workflows into callable skills for AI agents.

Instead of asking an agent to manipulate raw ComfyUI graphs, this project gives each workflow a clean, controlled interface through a CLI and schema-based parameter mapping. It works with OpenClaw, Hermes Agent, Codex, Claude Code, and any agent that can run shell commands. Compatible with the agentskills.io open standard.

Use it when you want to import existing ComfyUI workflows, expose only the parameters that matter, run them from chat or agent tasks, and manage everything through one consistent workflow layer.

Best for What you get

OpenClaw, Codex, Claude Code, and Hermes Agent users A ComfyUI workflow layer that agents can call safely

Existing ComfyUI workflow owners A clean way to reuse exported workflows without exposing the full graph

Multi-machine setups One namespace for local and remote ComfyUI servers

Users who want visual setup and testing An optional Web UI for configuring, previewing, and validating workflows before agents use them

Features

Capability Why it matters

Agent-friendly CLI Designed for agents, not just humans. It provides a cleaner and more reliable interface than working directly with raw ComfyUI graphs or lower-level ComfyUI interaction patterns.

Schema-based parameter mapping Expose only the fields you want the agent to control, with clear aliases, types, and descriptions.

ComfyUI workflow import Import workflow JSON files, auto-detect formats, and generate the mapping layer needed for agent use.

Multi-server routing Manage local and remote ComfyUI servers under one namespace and route jobs to the right machine.

Dependency management Check missing nodes and models before execution and install supported dependencies through the CLI.

Optional Web UI A visual layer for configuration and testing. It does not replace the CLI, and agent-facing actions still map to the same CLI workflow.

Quick Start

Get ComfyUI Skills running in a few minutes.

Before you start, make sure you have:

  • Python 3.10+

  • A running ComfyUI server

  • An exported workflow in ComfyUI API format if you want to test execution right away

1. Clone the project

Choose the directory that matches your agent environment.

cd ~/.openclaw/workspace/skills
git clone https://github.com/HuangYuChuh/ComfyUI_Skills_OpenClaw.git comfyui-skill-openclaw
cd comfyui-skill-openclaw
cd ~/.claude/skills
git clone https://github.com/HuangYuChuh/ComfyUI_Skills_OpenClaw.git comfyui-skill
cd comfyui-skill
cd ~/.codex/skills
git clone https://github.com/HuangYuChuh/ComfyUI_Skills_OpenClaw.git comfyui-skill
cd comfyui-skill
cd ~/.hermes/skills/creative
git clone https://github.com/HuangYuChuh/ComfyUI_Skills_OpenClaw.git comfyui-skill-openclaw
cd comfyui-skill-openclaw

Or install via Hermes CLI (once the PR is merged):

hermes skills install comfyui-skill-openclaw

2. Create your local config

cp config.example.json config.json

3. Install the CLI

pipx install comfyui-skill-cli

Or:

pip install comfyui-skill-cli

If you already have the CLI installed, upgrade it with:

# If you installed it with pipx
pipx upgrade comfyui-skill-cli

# If you installed it with pip
python3 -m pip install -U comfyui-skill-cli

4. Verify the setup

comfyui-skill server status
comfyui-skill list

5. Import and run your first workflow

comfyui-skill workflow import /absolute/path/to/my-workflow.json
comfyui-skill deps check local/my-workflow
comfyui-skill run local/my-workflow --args '{"prompt": "a white cat"}'

For manual CLI imports, the recommended approach is to pass the workflow JSON as an absolute path. That avoids path ambiguity and keeps the storage model simple.

For example:

comfyui-skill workflow import /Users/yourname/Downloads/my-workflow.json

After import, the CLI stores the normalized workflow and schema under data/<server_id>/<workflow_id>/, for example data/local/my-workflow/workflow.json and data/local/my-workflow/schema.json.

This is also the formal layout used by the Web UI and by Agent/OpenClaw-driven imports:

data/<server_id>/<workflow_id>/
  workflow.json
  schema.json
  history/

At this point, the CLI will read your local config.json, discover available workflows, and execute them through your ComfyUI server.

If you prefer a visual setup and testing flow, see the Web UI section below.

Setup Options

Choose the path that matches how you want to use the project.

OpenClaw

Use this path if you want OpenClaw to discover and execute ComfyUI workflows as skills.

  • Clone the repository into ~/.openclaw/workspace/skills

  • Install comfyui-skill-cli

  • Configure config.json

  • Import workflows and expose agent-safe parameters

Codex or Claude Code

Use this path if you want coding agents to call ComfyUI workflows through shell commands.

  • Clone the repository into your agent skills directory

  • Install the CLI

  • Verify with comfyui-skill list

  • Execute workflows with structured --args

Web UI

Use this path if you want a visual interface for configuration, inspection, and testing. See the Web UI section below for launch instructions and details.

Manual Setup

Use this path if you want direct control over config.json, workflow.json, and schema.json.

1) Edit config.json

{
  "servers": [
    {
      "id": "local",
      "name": "Local",
      "url": "http://127.0.0.1:8188",
      "enabled": true,
      "output_dir": "./outputs"
    }
  ],
  "default_server": "local"
}

2) Place workflow files

data/local/my-workflow/
  workflow.json  # ComfyUI API-format export
  schema.json    # Parameter mapping

3) Write schema.json

{
  "description": "My workflow",
  "enabled": true,
  "parameters": {
    "prompt": {
      "node_id": 10,
      "field": "pro

常见问题

What is ComfyUI_Skills_OpenClaw?

ComfyUI_Skills_OpenClaw is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by HuangYuChuh. Agent-friendly ComfyUI workflow skills for OpenClaw, Hermes Agent, Codex, and Claude Code. Turn any ComfyUI workflow into a callable AI agent skill via CLI. It has 393 GitHub stars.

Is ComfyUI_Skills_OpenClaw safe to use?

Yes. ComfyUI_Skills_OpenClaw passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install ComfyUI_Skills_OpenClaw?

Clone the repository with "git clone https://github.com/HuangYuChuh/ComfyUI_Skills_OpenClaw" and add it to your Claude Code skills directory (see the Installation section above). ComfyUI_Skills_OpenClaw ships a SKILL.md manifest, so compatible agents can discover and load it automatically.

What programming language is ComfyUI_Skills_OpenClaw written in?

ComfyUI_Skills_OpenClaw is primarily written in Python. It is open-source under HuangYuChuh on GitHub, so you can review or fork the full source.

Are there alternatives to ComfyUI_Skills_OpenClaw?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh ComfyUI_Skills_OpenClaw against similar tools.

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ComfyUI_Skills_OpenClaw — Claude Code AI Skill | SkillTip