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comfyui-complete-toolkit-skillcomfyui 完整工具包技能

Agent Skill

comfyui-complete-toolkit-skill 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

10,090

周安装

429

GitHub Stars

公开资料未说明

下载量

3,535
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:comfyui-complete-toolkit-skill(comfyui 完整工具包技能)
来源仓库:https://github.com/zambav/comfyui-complete-toolkit-skill
安装命令:
openclaw skills install comfyui-complete-toolkit-skill
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install comfyui-complete-toolkit-skill

简介

comfyui-complete-toolkit-skill 是 ComfyUI 工作流程与 API 资源的检索工具。

  • 适用于查找可用节点、验证工作流结构或排查节点兼容性问题。
  • 支持跨平台便携部署,帮助开发者快速定位所需模型与接口文档。
  • 依赖本地 ComfyUI 环境,需确保版本匹配与网络访问权限。
  • 推荐在安装新节点后使用此技能进行清单核对与参数验证。

SKILL.md

name
comfyui-skill-public
description
Portable ComfyUI workflow and API guidance for any install. Use when building, validating, or troubleshooting ComfyUI image/video workflows, discovering available nodes/models via /object_info, wiring loaders/encoders/VAEs/LoRAs correctly, submitting jobs through the REST or WebSocket APIs, or adapting a workflow to an unknown user machine without assuming specific checkpoints, paths, hardware, or custom nodes.

ComfyUI Portable Skill

Use this skill when the task is to work with ComfyUI in a reusable, installation-agnostic way.

Minimum trigger scope

Trigger on requests like:

  • "Build a ComfyUI workflow"
  • "Fix this ComfyUI workflow"
  • "Use the ComfyUI API"
  • "Why is this ComfyUI graph failing?"
  • "Add a LoRA / model / node to this ComfyUI setup"

Do not assume any particular machine, model inventory, file layout, GPU, or custom node pack.

First move: assume zero install knowledge

Before writing or editing any workflow:

  1. Read references/setup.md.
  2. If the install is unknown, collect the missing setup fields from the user or discover them from the running ComfyUI instance.
  3. Prefer discovery over assumptions:

- use /object_info to detect node classes and model dropdown values - confirm checkpoints, VAEs, encoders, and LoRAs from the target install - stop and report missing requirements clearly

Read path by task

Global operating rules

  • Treat node classes as discoverable, not guaranteed constants.
  • Treat model filenames as examples until confirmed on the target install.
  • Use filename-only model references in workflow JSON unless the install explicitly requires a subdirectory path.
  • Use defensive parsing for /history and /object_info; schema details can vary by ComfyUI version and custom nodes.
  • Fail fast when a required node class, model, or custom node is missing.
  • Keep setup-specific notes out of this file; put them in a per-user config or setup reference.

Cold-read test

Before publishing or packaging changes, check that a fresh reader could answer:

  • What does this skill do?
  • When should it trigger?
  • What must be discovered first?
  • Where do install-specific values go?
  • Which reference file should be opened for the current task?

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

80.14%
按下载量换算2,833

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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