muapi-amazon-product-listing

Original：🇺🇸 English
Translated

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

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Sourcesamuraigpt/generative-media-skills
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NPX Install

npx skill4agent add samuraigpt/generative-media-skills muapi-amazon-product-listing

Tags

Translated version includes tags in frontmatter
amazon-product-listingai-image-generatione-commerce-toolsproduct-photographymuapi

SKILL.md Content

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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.
Estimated credits: ~100 per run.

Inputs

NameTypeRequiredDefaultDescription
product_name
textyes—The product name (e.g. "Stainless Steel Water Bottle 32oz").
product_category
textyes—Amazon category (e.g. "Kitchen & Dining", "Sports & Outdoors", "Electronics").
key_features
textyes—Comma-separated top features to highlight (e.g. "leak-proof lid, BPA-free, keeps cold 24h, fits cupholder").
target_buyer
textnogeneral consumerWho buys this (e.g. "athletes", "busy moms", "office workers aged 25-45").
product_image
image_urlno—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
    ):
    • Prompt: 
      Amazon lifestyle image of {{product_name}} being used by {{target_buyer}} in a natural setting. {{product_category}} product in real-life use context. Warm natural lighting, aspirational but relatable, slight bokeh background. Commercial lifestyle photography, professional quality.
    • Aspect ratio: 1:1
  3. Feature infographic — 
    muapi image generate
    (model=
    gpt4o-text-to-image
    ):
    • Prompt: 
      Amazon product detail page infographic for {{product_name}}. Shows product with 4-5 callout arrows highlighting these key features: {{key_features}}. Clean white or light grey background, professional typography, bold feature labels with icons. Amazon A+ content style, feature benefit layout, commercial design.
    • Aspect ratio: 1:1
  4. Closeup detail shot — 
    muapi image generate
    (model=
    nano-banana-pro
    ):
    • Prompt: 
      Extreme closeup macro product detail shot of {{product_name}} — focus on premium materials, texture, quality craftsmanship. Studio lighting, white background, ultra sharp focus, demonstrates quality. Amazon product detail image showing materials/finish.
    • Aspect ratio: 1:1
After generation:
  • Present all 4 images in order (main > lifestyle > infographic > detail)
  • Suggest uploading to canvas to arrange as a listing mockup
  • Offer to generate 3 additional A+ content module images

Notes

  • Amazon requires main image on pure white background — enforce this strictly.
  • Key features should be visually distinct and scannable in the infographic.
  • For electronics, add "showing ports, buttons, and connections clearly" to the detail shot.

Trigger Keywords

amazon listing
, 
amazon product
, 
product listing
, 
ecommerce listing
, 
amazon images
, 
product photography amazon
, 
listing images

Notes for the Executing Agent

  • This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call 
    muapi
    CLI commands. Use 
    muapi auth configure
    first if 
    MUAPI_API_KEY
    is unset.
  • For model IDs without a CLI alias yet, fall back to the raw endpoint via 
    curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'
    and poll with 
    muapi predict wait <request_id>
    .
  • Substitute 
    {{input_name}}
    placeholders with the user's actual inputs before issuing each call.