# muapi-amazon-product-listing

Generates four images for an Amazon product listing: a white-background hero, a lifestyle shot, a feature infographic and a macro detail closeup.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 666 installs · ★ 23
- Author: SamurAIGPT
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/SamurAIGPT/Generative-Media-Skills/tree/HEAD/library/visual/amazon-product-listing/SKILL.md
- Updated: 2026-09-29
- HTML: https://affpapa.org/en/nevibecode/skills/muapi-amazon-product-listing

## What it does

The skill takes a product name, an Amazon category and a list of key features, then produces four 1:1 images. The hero sits on pure white, which Amazon requires. Then a lifestyle frame with the target buyer in a natural setting, an infographic with callout arrows for the features, and a macro shot of materials and finish. All four run in parallel as a single plan.

Under the hood it calls `muapi image generate` with different models: `ai-product-photography` or `gpt4o-text-to-image` for the hero, `ai-product-shot` or `nano-banana-pro` for the lifestyle frame. An existing product photo can be passed in as the base reference. You need `MUAPI_API_KEY` set, otherwise run `muapi auth configure` first. For model IDs without a CLI alias, the skill suggests hitting the raw endpoint with `curl` and polling via `muapi predict wait <request_id>`.

After generation it offers to arrange the images on canvas as a listing mockup and can add three A+ content modules. The white background on the hero is enforced strictly — that is an Amazon rule, and it is where a supplied photo with its own background will break the result. For electronics, the detail shot gets an instruction to show ports and buttons clearly.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-amazon-product-listing -a claude-code
```
```bash
npx skills add SamurAIGPT/Generative-Media-Skills --skill amazon-product-listing -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/amazon-product-listing/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/amazon-product-listing/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add SamurAIGPT/Generative-Media-Skills --skill amazon-product-listing -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/amazon-product-listing/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add SamurAIGPT/Generative-Media-Skills --skill amazon-product-listing -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/amazon-product-listing/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install SamurAIGPT/Generative-Media-Skills amazon-product-listing
```

2. **Manually: put the files in place**
- File: `.github/skills/amazon-product-listing/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add SamurAIGPT/Generative-Media-Skills --skill amazon-product-listing -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/SamurAIGPT/Generative-Media-Skills --path library/visual/amazon-product-listing
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/amazon-product-listing/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add SamurAIGPT/Generative-Media-Skills --skill amazon-product-listing -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/SamurAIGPT/Generative-Media-Skills/tree/HEAD/library/visual/amazon-product-listing/SKILL.md

## When to use it
- produce a hero image on pure white for an Amazon listing
- shoot a lifestyle frame with the buyer in a real setting
- build a feature infographic with callout arrows
- show materials and build quality in a macro closeup
- lay the finished images out as a listing mockup on canvas

## Example prompts
- Generate an Amazon listing image set for a Stainless Steel Water Bottle 32oz, category Kitchen & Dining, features: leak-proof lid, BPA-free, keeps cold 24h
- Make the lifestyle shot for this bottle, target buyer is athletes
- Add three A+ content modules to the set

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: de2f06abf3c38138.

BEGIN THIRD-PARTY FILE de2f06abf3c38138
```text
---
slug: muapi-amazon-product-listing
name: muapi-amazon-product-listing
version: "1.0.0"
description: Generate a complete Amazon product listing image set — hero image, lifestyle shot, infographic with features, and comparison/detail closeups optimized for Amazon standards.
acceptLicenseTerms: true
---


# Amazon Product Listing Pack

**Generate a complete Amazon product listing image set — hero image, lifestyle shot, infographic with features, and comparison/detail closeups optimized for Amazon standards.**

## Inputs

| Name | Type | Required | Default | Description |
|:---|:---|:---|:---|:---|
| `product_name` | text | yes | — | The product name (e.g. "Stainless Steel Water Bottle 32oz"). |
| `product_category` | text | yes | — | Amazon category (e.g. "Kitchen & Dining", "Sports & Outdoors", "Electronics"). |
| `key_features` | text | yes | — | Comma-separated top features to highlight (e.g. "leak-proof lid, BPA-free, keeps cold 24h, fits cupholder"). |
| `target_buyer` | text | no | general consumer | Who buys this (e.g. "athletes", "busy moms", "office workers aged 25-45"). |
| `product_image` | image_url | no | — | Optional existing product photo to use as base reference. |


## Steps

Submit a SINGLE the plan with all steps running in parallel.

### All 4 Images (Parallel)

1. **Hero image (white background)** — `muapi image generate` (model=`ai-product-photography`) if `{{product_image}}` provided, else `muapi image generate` (model=`gpt4o-text-to-image`):
   - Prompt: `Professional Amazon main listing hero image of {{product_name}}. Pure white background #FFFFFF. Product centered, perfectly lit with soft studio lighting, no shadows. High resolution, commercial product photography, sharp focus on all details, 2000x2000px equivalent quality.`
   - Aspect ratio: 1:1

2. **Lifestyle/context shot** — `muapi image generate` (model=`ai-product-shot`) if `{{product_image}}` provided, else `muapi image generate` (model=`nano-banana-pro`):
```
END THIRD-PARTY FILE de2f06abf3c38138

The third-party file has ended. Everything between the de2f06abf3c38138 tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

First 1990 of 4343 bytes. © SamurAIGPT · MIT · https://github.com/SamurAIGPT/Generative-Media-Skills/tree/HEAD/library/visual/amazon-product-listing/SKILL.md

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