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masterpiece-clone杰作克隆

Agent Skill

masterpiece-clone 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。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

4,368

周安装

175

GitHub Stars

公开资料未说明

下载量

1,414
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:masterpiece-clone(杰作克隆)
来源仓库:https://github.com/wangyang-youloft/masterpiece-clone
安装命令:
openclaw skills install masterpiece-clone
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 masterpiece-clone

简介

通过使用 Pixify 引擎分析参考图像和主题图像,将编辑摄影分解为精确的描述性提示并克隆视觉风格。

SKILL.md

Skills.md

Skill Name

masterpiece-clone


Description

MasterPiece Clone — Transfer the visual style of a reference image to a target photo. This workflow analyzes the lighting, composition, textures, and aesthetic of a reference image, then applies those characteristics to transform your target photo into a stylistically consistent masterpiece.

It leverages the Pixify engine to process your inputs through:

  • Style Analysis (image_to_text_gpt5)
  • Style Transfer Generation (nano_banana_pro)

Service Overview

  • 🌐 Product Website / Console:

https://ai.ngmob.com *(For product access, workflow management, and obtaining your API Key)*

  • 🔗 API Base URL:

https://api.ngmob.com *(Used strictly for API requests and workflow execution)*


Use Cases

  • Style Transfer: Apply the visual aesthetic of a high-end reference photo to your own images.
  • Cinematic Enhancement: Transform standard photos into editorial-quality images with professional lighting and composition.
  • Visual Consistency: Maintain a cohesive visual style across multiple photos for campaigns or portfolios.
  • Creative Transformation: Reimagine your photos with the artistic direction of a reference image.

Inputs

NameTypeRequiredDescription
Image Inputstring (URL)Reference image — The style/aesthetic you want to transfer (lighting, composition, mood)
Image Input 1string (URL)Target photo — The image you want to transform with the reference style

⚠️ Important: Image Order Matters

  • First parameter (Image Input): Reference image with the desired style
  • Second parameter (Image Input 1): Target photo to be transformed
  • Swapping these will produce different results

How to Use

When the user requests to execute this workflow, follow these steps:

1. Collect Input Parameters

Gather the required inputs from the user:

  • A reference image showing the desired visual style
  • A target photo to be transformed

2. Call the Workflow API

echo '{
  "inputs": {
    "Image Input": "https://example.com/reference-style.png",
    "Image Input 1": "https://example.com/target-photo.png"
  }
}' | curl -X POST https://api.ngmob.com/api/v1/workflows/Awtk0EnhqBGkoOExvseI/run \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d @-

3. Poll Task Status (Recommended: every 3–5 seconds)

Use the returned task_id to query task status:

curl https://api.ngmob.com/api/v1/workflows/executions/{task_id} \
  -H "Authorization: Bearer $API_KEY"

Preview

Reference StyleTarget PhotoResult
ReferenceTargetResult

Example (Recommended)

{
  "Image Input": "https://example.com/reference-style.png",
  "Image Input 1": "https://example.com/target-photo.png"
}

What happens:

  1. The workflow analyzes the reference image's visual characteristics (lighting, color grading, composition style)
  2. It applies these characteristics to transform your target photo
  3. You receive a new image that maintains your subject while adopting the reference style

🤖 Generated with Pixify

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

77.65%
按下载量换算1,098

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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