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

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

Plan an Amazon photo shoot for my insulated lunch bag.

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

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.

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:

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 receives unless the category's current rule explicitly allows otherwise.
• Use a clean, accurate product depiction and follow the current marketplace rules for background, framing, resolution, and prohibited overlays.
• Do not add text, unearned badges, props, accessories, borders, watermarks, or packaging elements that could mislead the buyer.
• Verify category-specific exceptions in Seller Central before production.

Secondary Images

• Use one primary message per image and make essential text readable on mobile.
• Translate features into substantiated shopper benefits without changing the product.
• Use scale references only when their dimensions and relationship are accurate.
• Label comparison visuals clearly and compare verifiable attributes on a fair basis.
• Use only approved certifications, reviews, test results, guarantees, and performance claims.

AI-Generated or Composited Images

• Preserve product geometry, logo, label text, color, included parts, and material appearance.
• Treat hands, reflections, shadows, transparent parts, packaging copy, and small accessories as high-risk review areas.
• Do not generate a use case the product cannot safely support.
• Record which images are captured, composited, or generated so reviewers know what to inspect.
• Require a human to compare every final asset against the physical product or approved reference pack.

Budget and Measurement

• Present cost ranges as scenario estimates, not market facts, unless supported by a current quote.
• Separate one-time capture costs, per-image production, models/locations, retouching, revisions, and export variants.
• Define a test hypothesis before recommending an experiment; measure the seller's available metrics and avoid attributing sales changes to images without a controlled test.

Output Format

# Amazon Product Photography Plan — [Product]

## Scope and Evidence
- Marketplace:
- Assets inspected:
- Confirmed facts:
- Provisional choices:
- Unknowns: