amazon-product-photography

# Amazon Product Photography

Turn product facts and listing goals into a production-ready image plan that a seller, designer, photographer, or image-generation workflow can execute without guessing.

## Installation

```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-product-photography -g
```

## Capabilities

- Define the visual objective and required image set for an Amazon listing.
- Build a sequenced shot list with composition, props, lighting, crop, and deliverable notes.
- Write infographic, lifestyle, detail, scale, packaging, and variation briefs.
- Separate main-image compliance from secondary-image persuasion.
- Recommend DIY, self-service AI generation, professional production, or a hybrid workflow.
- Create a production checklist, review rubric, and asset-handoff package.
- Adapt reusable assets for Amazon, Shopify, TikTok Shop, Walmart, and paid ads while flagging platform-specific rework.

## Usage Examples

```text
Plan an Amazon photo shoot for my insulated lunch bag.
```

```text
Create a seven-image brief for a skincare serum, including the main image, ingredients, texture, and two lifestyle scenes.
```

```text
I have one clean product photo and a small budget. Tell me which images I can generate, which ones need a designer, and what to send the production team.
```

```text
Turn these product details and brand references into a shoot-ready brief for Amazon US and Shopify.
```

## Inputs and Collection

Use supplied facts before asking questions. Collect the minimum information needed:

- product name, category, included components, variants, and exact physical appearance;
- target Amazon marketplace and any additional channels;
- product dimensions, materials, functions, differentiators, and substantiated claims;
- target buyer, use cases, brand style, and competitor or reference images;
- available source assets, packaging, models, locations, and brand files;
- desired image count, deadline, budget range, and production preference;
- known category restrictions, certifications, or required disclaimers.

If essential inputs are missing, ask one consolidated follow-up. When the seller cannot answer, continue with a clearly labeled assumption register and do not invent product details.

## Workflow

### 1. Establish Evidence and Scope

List what was actually inspected: product photos, listing URL, packaging files, brand guide, competitor pages, customer feedback, or seller-provided facts.

Classify every material input as:

- **Confirmed:** visible in an inspected source or explicitly supplied by the seller.
- **Provisional:** a creative recommendation that still needs seller approval.
- **Unknown:** missing information that blocks an accurate depiction or claim.

Never infer hidden product features, included accessories, materials, certifications, dimensions, outcomes, or customer results from a reference image alone.

### 2. Define the Visual Job

State the primary decision each image should help the shopper make. Prioritize the set in this order:

1. identify the exact product and variant;
2. understand the main benefit and use case;
3. verify size, components, material, and compatibility;
4. see the product in realistic context;
5. resolve objections with factual detail;
6. understand what is included and how variants differ;
7. build trust without unsupported badges or claims.

Separate required assets from optional experiments. Do not promise a fixed conversion lift.

### 3. Build the Image Architecture

Create a recommended sequence. Adapt the count to the category, available media slots, and current marketplace rules rather than treating seven images as mandatory.

For each image, specify:

- purpose and shopper question;
- image type: main, detail, scale, infographic, lifestyle, packaging, comparison, or variant;
- exact visible product state and included components;
- composition, camera angle, crop, and negative space;
- background, props, model direction, lighting, and color treatment;
- approved headline or factual callouts for secondary images;
- source assets required and elements that must not be generated or altered;
- desktop and mobile legibility notes;
- compliance and claim-review flags;
- final aspect ratio, pixel dimensions, file format, and filename convention.

### 4. Choose a Production Route

Recommend one route with reasons:

| Route | Best fit | Main constraint |
|---|---|---|
| DIY photography | Simple products, available samples, controlled budget | Lighting, consistency, retouching, and production time |
| Self-service AI image generation | Strong reference images and fast scene or format variation | Product fidelity and text accuracy require review |
| Professional or done-for-you production | Complex packs, model shots, multi-SKU consistency, or a tight handoff deadline | Higher coordination and approval needs |
| Hybrid | A real hero/detail capture plus generated lifestyle or campaign variations | Requires disciplined asset and fidelity control |

Do not recommend synthetic changes that misrepresent the sold product. Route regulated, safety-critical, fit-sensitive, or texture-critical depictions through additional human review.

### 5. Create the Production and Review Plan

Deliver a pre-production checklist, capture/generation sequence, file handoff, and review rubric. Require approval at three gates:

1. **Brief approval:** facts, claims, and visual direction.
2. **Preview approval:** product fidelity, composition, and readable content.
3. **Final approval:** marketplace compliance, color/variant accuracy, exports, and naming.

When live platform access is available, verify the current marketplace and category image rules before final export. If verification is unavailable, mark the compliance result **Not assessed** and link the seller to Amazon's current official guidance.

## Domain Rules

### Main Image

- Treat the main image as a distinct compliance asset, not an infographic.
- Show only what the customer receiv