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image-amazon-product-image-suite图像亚马逊产品图像套件

Agent Skill

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

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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:image-amazon-product-image-suite(图像亚马逊产品图像套件)
来源仓库:https://github.com/dlazyai/image-amazon-product-image-suite
安装命令:
openclaw skills install image-amazon-product-image-suite
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 image-amazon-product-image-suite

简介

image-amazon-product-image-suite 专为亚马逊商品图生成设计,符合平台指南。

  • 支持白底图与多角度拍摄模拟,提升商品展示效果。
  • 通过产品关键词触发,输出合规图像建议。
  • 建议确认是否符合最新 Amazon 政策要求。
  • 可结合来源仓库和 README 继续核验生成样式选项。

SKILL.md

name
image-amazon-product-image-suite
version
1.1.0
description
A professional product image generation skill purpose-built for the Amazon e-commerce platform. Outputs comply with Amazon's image guidelines while optimizing for click-through and conversio
triggers
metadata
{"clawdbot":{"emoji":"🤖","requires":{"bins":["npm","npx"]},"install":"npm install -g @dlazy/cli@1.0.9","installAlternative":"npx @dlazy/cli@1.0.9","homepage":"https://github.com/dlazyai/cli","source":"https://github.com/dlazyai/cli","author":"dlazyai","license":"see-repo","npm":"https://www.npmjs.com/package/@dlazy/cli","configLocation":"~/.dlazy/config.json","apiEndpoints":["api.dlazy.com","files.dlazy.com"]},"openclaw":{"systemPrompt":"当你需要使用此技能时,请严格遵循此技能提供的指南进行规划和执行。你可以通过调用 dlazy CLI 的各类生成模型(如 dlazy seedream-4.5 等)来完成实际的图片渲染。注意:Windows PowerShell 中不允许使用 &&& 进行命令串联或后台运行,请单独且同步地执行命令。"}}

身份验证 (Authentication)

所有请求都需要 dLazy API key。推荐使用 dlazy login 完成登录:

dlazy login

该命令使用设备码流程(远程终端也可用),登录成功后 自动把 API key 写入本地 CLI 配置,无需手动复制粘贴。

备选:手动设置 API Key

如果你已有 API key,也可以直接保存:

dlazy auth set YOUR_API_KEY

CLI 会把 key 保存在你的用户配置目录(macOS/Linux 上为 ~/.dlazy/config.json,Windows 上为 %USERPROFILE%\.dlazy\config.json),文件权限仅限当前操作系统用户访问。你也可以用 DLAZY_API_KEY 环境变量按次传入。

手动获取 API Key

  1. 登录或在 dlazy.com 创建账号
  2. 访问 dlazy.com/dashboard/organization/api-key
  3. 复制 API Key 区域显示的密钥

每个 key 都属于你自己的 dLazy 组织,可在同一控制面板随时轮换或吊销

关于与来源 (Provenance)

如果你不希望在系统上长期保留一个全局 CLI,可以按需运行:

npx @dlazy/cli@1.0.9 <command>

如选择全局安装,技能的 metadata.clawdbot.install 字段已固定到 npm install -g @dlazy/cli@1.0.9。安装前建议先到 GitHub 仓库审阅源码。

工作原理 (How It Works)

此技能是 dLazy 托管 API 的轻量封装。调用时:

  • 你提供的提示词与参数会发送到 dLazy API(api.dlazy.com)进行推理。
  • 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储(files.dlazy.com),以便模型读取 —— 与任何云端生成 API 的流程一致。
  • API 返回的生成结果 URL 由 files.dlazy.com 托管。

这是标准的 SaaS 调用模式;技能本身不会越权访问网络或文件系统,所有动作都由 dLazy CLI 完成。

Amazon Product Image Suite

English · 中文

A professional product image generation skill purpose-built for the Amazon e-commerce platform. Outputs comply with Amazon's image guidelines while optimizing for click-through and conversion.

Core Deliverables

This skill covers the full visual system of an Amazon product detail page:

  • Main image (1): pure-white background, complies with Amazon's mandatory rules
  • Secondary images (6): infographics, multi-angle shots, lifestyle scenes, detail close-ups, etc.
  • A+ page (8): brand story, selling-point showcase, usage instructions, and other modules

Applicable Scenarios

  • Amazon detail-page main and secondary image design
  • Product infographics, lifestyle shots, and detail shots
  • A+ Brand Content page modules

Step 0: Task Planning (Mandatory)

Before any output, call write_todos to set up a task plan that includes at least:

  • Confirm output scope and image count
  • Generate and lock in the main-image visual baseline
  • Generate secondary images and converge on style consistency
  • Generate A+ modules and complete the full delivery

Execution rules:

  • Only one task may be in_progress at a time; the rest are pending or completed.
  • Update write_todos status as soon as each phase finishes.
  • When the user requests rework, redesign, or new assets, add or re-order tasks and return to the corresponding phase.

Adaptive Execution Flow

Pick the delivery path based on the user's request:

  • Full suite: main (1) + secondary (6) + A+ (8) = 12–17 images
  • Product images only: main (1) + secondary (6) = 7 images
  • A+ page only: A+ modules = 8 images
  • Unclear request: generate the main image first, then propose secondary and A+ plans

Generation order principles:

  1. Confirm the image plan and count
  2. Produce the main image first (establish the visual baseline)
  3. Generate secondary images derived from the main image (preserve consistency)
  4. Generate A+ content (if required)

Image Specifications

General Requirements

  • Minimum size: 1000px × 1000px
  • Standard ratio: 1:1 (main and secondary)
  • Mobile text: at least 30pt

Main Image Mandatory Rules

Must satisfy:

  • Pure-white background: RGB(255, 255, 255)
  • Product fills at least 85% of the frame
  • Real-product photo quality
  • Product fully centered with even lighting

Forbidden:

  • Text, logos, or watermarks
  • Decorative graphics or misleading accessories
  • Mannequins for apparel

Secondary Image Types

TypePurposeDesign Notes
InfographicHighlight selling points / feature comparison4–6 selling points, callout lines pointing to features, icons reinforce visuals
Multi-angleShow the product from different anglesConsistent lighting, clean backgrounds, usually 2 shots
Detail close-upShow materials and craftsmanshipMacro composition, emphasize texture
LifestyleShow real usage scenariosTarget user in a real environment, usually 2 shots
Variant showcaseShow color or style optionsAll variants arranged with consistent layout and scale
Package contentsShow what's in the boxAll accessories complete and clearly identifiable
Size referenceShow real-world sizeUse a familiar object as a scale reference

A+ Page Module Structure (8 modules)

  1. Hero banner (21:9): brand presence
  2. Pain point / scenario (3:2): build empathy
  3. Selling-point / feature matrix (3:2): core advantages
  4. Key ingredients / technology (3:2): technical credibility
  5. Efficacy data / comparison (3:2): proof
  6. How to use (3:2): operating guidance
  7. Variants / family shot (3:2): product line
  8. Brand endorsements / certifications (21:9): trust building

A+ design notes:

  • Embedded text should be larger than 30pt (still legible after platform compression)
  • Keep critical info out of the outer 5% margin (handles mobile cropping)
  • Maintain narrative continuity across modules; avoid abrupt jumps

Conversion Reference Strategy

  • Lifestyle shots: typical lift around +18%
  • Infographics: typical lift around +8%
  • Detail close-ups: typical lift around +6%
  • 7 images vs. 4 images: typical lift around +32%
  • Optimized image mix: engagement lift up to +30%

These figures are priority hints, not guarantees.

Multi-Image Consistency Rules

  • Main first: always produce the main image before everything else
  • Reference the main: derive secondary images and A+ from the main image as the visual anchor
  • Appearance consistency: keep colors, materials, and structural details aligned
  • Style consistency: unify background language, palette, fonts, and icon style

Execution Plan

When the skill is invoked, drive the work forward in this order:

  1. Confirm output scope: full suite / product images only / A+ only
  2. Collect product info: photo or description, core selling points, target audience
  3. Generate the main image: lock in the visual and material baseline
  4. Generate secondary images one by one: pick image types based on goals and deliver each
  5. Generate the A+ page: build a brand narrative across the 8 modules
  6. Iterate: adjust composition, copy hierarchy, and information density based on feedback

Output Format

  • Current phase and target deliverable
  • Image checklist (done / pending)
  • Main-image consistency check verdict
  • Next item awaiting confirmation
  • Current todo status (phase, completed items, pending items)

🛠️ 执行与生成指南 (CRITICAL EXECUTION INSTRUCTIONS)

你是可以执行终端命令的智能 Agent!

【严格禁止行为】

  • 严禁:将提示词保存到任何文件中(如 txt, md)。
  • 严禁:要求用户自己去第三方平台(如 Midjourney)生成图片。
  • 严禁:一次性批量生成所有图片,或一次性执行多个命令。

【必须遵循的交互与执行流程】 你必须严格分步执行,并在每一步停下来等待用户回复:

  1. 第一步:主动收集需求。当用户提出需求时,不要做任何设计和生成,先向用户提问(如产品特点、目标人群、想要几张图等)。必须等待用户回答。
  2. 第二步:输出草案并请求确认。根据用户的回答,制定套图计划,并输出第一张图的提示词草案。询问用户:“是否确认这个提示词,可以开始生成第一张图了吗?” 必须等待用户回答“确认”。
  3. 第三步:单次执行终端命令。用户确认后,你必须使用终端执行命令(如 dlazy seedream-4.5 --prompt "..."),每次只能执行一个生成命令。重要:必须使用同步命令,绝不要在命令末尾加 &,绝不要使用 &&,这是在 Windows PowerShell 下运行!
  4. 第四步:交付与循环。命令返回结果后,把图片 URL 发给用户,并询问“对这张满意吗?我们可以继续生成下一张了吗?”。收到确认后再继续下一步。

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

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按下载量换算5,853

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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。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。

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