muapi-amazon-product-listing
Generate a complete Amazon product listing image set — hero image, lifestyle shot, infographic with features, and comparison/detail closeups optimized for Amazon standards.
How do I install this agent skill?
npx skills add https://github.com/samuraigpt/generative-media-skills --skill muapi-amazon-product-listingIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The skill generates Amazon product images by calling the MuAPI vendor platform. It is functional but contains an indirect prompt injection surface because user-supplied product descriptions are directly inserted into image generation prompts without sanitization.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
What does this agent skill do?
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)
-
Hero image (white background) —
muapi image generate(model=ai-product-photography) if{{product_image}}provided, elsemuapi 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
- Prompt:
-
Lifestyle/context shot —
muapi image generate(model=ai-product-shot) if{{product_image}}provided, elsemuapi 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
- Prompt:
-
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
- Prompt:
-
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
- Prompt:
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
muapiCLI commands. Usemuapi auth configurefirst ifMUAPI_API_KEYis 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 withmuapi predict wait <request_id>. - Substitute
{{input_name}}placeholders with the user's actual inputs before issuing each call.
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/samuraigpt/generative-media-skills/muapi-amazon-product-listing">View muapi-amazon-product-listing on skillZs</a>