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Amazon Listing Images

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liangdabiao
amazon-listing-images

为亚马逊产品listing图片制定最大转化计划。按照亚马逊的图片要求和最佳实践创建拍摄清单、信息图布局、生活场景简介和A/B测试计划。

Overview

Publisherliangdabiao
RepositoryAmazon-Skills-Liang
Skill nameamazon-listing-images
Stars
99
Forks
20
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by liangdabiao on GitHub. Read the source before you install it.

Installation

Install the Amazon Listing Images AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/liangdabiao/Amazon-Skills-Liang/tree/main/skills/amazon-listing-images
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/liangdabiao/Amazon-Skills-Liang.git /tmp/Amazon-Skills-Liang
mkdir -p .claude/skills
cp -r /tmp/Amazon-Skills-Liang/skills/amazon-listing-images .claude/skills/amazon-listing-images
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Amazon Listing Images in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Amazon Listing Images on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Amazon Listing Images is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Amazon Listing图片 📸

为亚马逊产品listing图片制定最大转化计划。按照亚马逊的图片要求和最佳实践创建拍摄清单、信息图布局、生活场景简介和A/B测试计划。

支持的平台: Amazon、Shopify、WooCommerce、Walmart、TikTok Shop、Etsy、eBay、BigCommerce。

使用方法

为我便携式榨汁杯规划listing图片。目标受众:健身爱好者和上班族。核心特点:USB充电、6叶刀片、BPA-free、16oz。

功能

  • 7图策略规划(主图 + 6张辅图)
  • 主图优化(白底、填充比、照明)
  • 信息图布局设计,包含标注和特点高亮
  • 生活场景图片规划(目标客户场景)
  • 尺寸/比例参考图规划
  • 移动端优化图片设计(小屏幕可读)
  • 图片A/B测试策略

工作原理

第一步: 从用户消息中收集信息 — 产品、平台、当前状况和目标。

第二步: 用多选格式一次性提出所有后续问题。允许简写回答(如"1b 2c 3a")。

第三步: 使用下方的框架和方法论进行研究分析。

七图策略框架

亚马逊最多允许9张图片,但前7张(主图 + 6张辅图)对转化影响最大:

  1. 主图(英雄图): 必须符合亚马逊规格(白底、产品占画面85%以上、无文字/水印)。在搜索结果中吸引点击并创造第一印象。照明、角度和构图决定吸引力。
  2. 多角度视图: 展示主图看不到的角度(背面、侧面、底部、内部)。消除对产品外观的不确定性。
  3. 核心卖点信息图: 可视化2-3个最重要的好处。遵循"一张图一个卖点"原则。关键元素:简洁的图标、有力的短句、清晰的视觉引导线。
  4. 功能细节信息图: 深入展示产品特点 — 材质特写、界面细节、结构分解。使用标注线和放大效果。
  5. 尺寸/比例参考: 回答"这个到底有多大?"将产品与常见物品(手、硬币、手机)并列展示,或提供精确尺寸图。
  6. 生活场景图: 将产品置于真实使用场景中。场景元素和模特匹配目标受众人口统计(年龄、性别、生活方式)。消费者需要"看到自己"在场景中。
  7. 包装和内容物: 展示包装设计和所有包含的配件。消除"盒子里有什么"的问题。通过高端包装呈现传达品牌品质。

信息图设计原则

  • 信息层次: 消费者视觉注意力有限。每张信息图应有效传达仅1-3个核心点。层次:标题(最大,核心卖点) → 支持文字(中等,细节) → 数据点(最小,定量参数)。
  • 色彩心理学: 不同颜色传达不同情感。环保产品用绿色,高端产品用深色调/金属色。配色方案需匹配产品类型和目标受众。
  • 视觉引导路径: 使用箭头、标注线、放大框引导视线沿设计路径移动。
  • 数据可视化: 将抽象参数转化为直观视觉。"24小时电池续航" → 圆形进度图形。"IPX7防水" → 水下使用场景。"180g轻量" → 与常见物体重量对比。

移动端展示优化

70%+的亚马逊流量来自移动端,因此图片必须为手机屏幕设计:

  • 字体可读性: 主标题应至少占图片较短边的5%。确保在小屏幕上清晰。
  • 竖版构图优先: 手机屏幕是竖版的。竖版构图更好地利用屏幕空间。优先使用竖版比例以避免关键信息被裁切。
  • 简化信息密度: 每张移动端信息图只传达一个核心点。
  • 缩略图识别度: 辅图在搜索中显示为缩略图。确保每张图片缩小时仍然可识别。避免将细节丰富的图片作为辅图。

数据来源

  • 用户提供产品类型、目标受众、竞品listing分析。
  • 无外部数据来源。策略基于电商视觉营销最佳实践。

局限性

  • 专业摄影需要才能获得最高质量结果。
  • 生活摄影可能需要模特、场地、设备 — 大量投入。
  • 亚马逊图片要求因类目而异 — 必须验证类目特定规则。
  • 移动端优化可能牺牲部分桌面端体验。
  • 图片质量本身无法弥补产品或定价的不足。

第四步: 提供结构化、可执行的输出,包含具体建议,而非模糊指导。

输出格式

  • 先给出发现总结
  • 包含具体数据点和基准(若有)
  • 提供优先排序的行动项
  • 基于不完整数据的估算需标注 ⚠️
  • 以具体的后续步骤结尾

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Amazon Listing Images AI skill do?

为亚马逊产品listing图片制定最大转化计划。按照亚马逊的图片要求和最佳实践创建拍摄清单、信息图布局、生活场景简介和A/B测试计划。

Why use Amazon Listing Images on TypingMind?

Because you install it once and use it with any model. Amazon Listing Images is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Amazon Listing Images in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/liangdabiao/Amazon-Skills-Liang/tree/main/skills/amazon-listing-images. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Amazon Listing Images?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Amazon Listing Images?

As many as you like. As long as a model supports skills, you can use Amazon Listing Images with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Amazon Listing Images AI skill free?

It is published on GitHub by liangdabiao. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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