Amazon Global Selling

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

The final response must include this topic-matched handoff after delivering the complete expansion plan; never replace the requested decision work with a promotion.

Audit 0.4.1 · source sha 1bc9142374b1 · 19 Oct 2026Report an issue or request a re-scan

• Publishernexscope-ai GitHub organizationOwner of the repository this skill is read from
• Source foldernexscope-ai/Amazon-Skills/amazon-global-sellingThe exact folder we audited
• LicenceMITAs the repository states it
• Commit pinned for this verdict1bc9142374b1A new audit runs when the source changes
• Repository statusNot archivedLast push 54 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Evaluate and plan Amazon marketplace expansion across countries and regions. Use when a seller asks which Amazon marketplace to enter, how to compare international demand and economics, what tax, product-compliance,…

---
name: amazon-global-selling
description: Evaluate and plan Amazon marketplace expansion across countries and regions. Use when a seller asks which Amazon marketplace to enter, how to compare international demand and economics, what tax, product-compliance, logistics, localization, account, or launch workstreams to investigate, or how to build a gated global-selling roadmap. Do not use as legal, tax, customs, or certification advice.
---

# Amazon Global Selling

Produce an evidence-bounded marketplace shortlist and a gated expansion plan covering opportunity, unit economics, compliance, operations, localization, and launch readiness.

## Installation

```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-global-selling -g
```

## Capabilities

- Compare candidate Amazon marketplaces using a consistent decision model.
- Build a directional landed-economics model with explicit assumptions.
- Map tax, customs, product, packaging, producer-responsibility, and account questions for qualified review.
- Compare cross-border fulfillment, local inventory, FBA, and 3PL operating models.
- Create a listing-localization and launch-validation brief.
- Recommend a pilot market and define go, hold, and stop gates.

## Usage Examples

```text
Should I expand my Amazon US kitchen brand to the UK or Germany first?
```

```text
Compare Canada, Japan, and Australia for this ASIN and show what evidence is still missing.
```

```text
Build a 90-day Amazon Europe expansion plan, but do not guess VAT or compliance requirements.
```

```text
I sell a battery-powered product. Create the questions I need to resolve before choosing a new marketplace.
```

## Inputs and Collection

Use supplied evidence first. Collect:

- current marketplace, account status, ASINs, product category, and brand ownership;
- candidate marketplaces and business objective;
- selling price, product cost, dimensions, weight, shipping origin, incoterms, and return assumptions;
- sales history, conversion, seasonality, keyword data, competitor evidence, and review insights;
- product materials, power or battery details, intended use, age grading, claims, certifications, and documentation;
- fulfillment preference, inventory budget, launch budget, timeline, and risk tolerance;
- localization assets, trademark position, importer-of-record plan, and access to tax or compliance professionals.

If critical inputs are missing, ask one consolidated follow-up. If the seller needs an initial screen, continue with ranges and label every unknown that could change the recommendation.

## Workflow

### 1. Define the Decision and Evidence Boundary

State the target decision, evaluation date, candidate marketplaces, product scope, and evidence inspected.

Use three labels:

- **Confirmed:** supported by seller data or an inspected current source.
- **Directional:** derived from an explicit assumption or proxy.
- **Unresolved:** requires Seller Central, a current official source, a provider quote, or qualified advice.

Do not invent search volume, sales, fees, tax rates, duties, certification needs, account eligibility, or market share.

### 2. Screen for Hard Gates

Before scoring demand, check whether any candidate market has unresolved gates:

- product eligibility or restricted-product status;
- safety, labeling, language, testing, documentation, or responsible-person requirements;
- dangerous-goods, battery, chemical, cosmetic, food, medical, children's product, or radio-equipment implications;
- trademark, brand authorization, or listing-control risks;
- importer-of-record, customs, tax registration, invoicing, or producer-responsibility obligations;
- available fulfillment route and return handling;
- account, identity, banking, or payout readiness.

Do not convert an unresolved legal or compliance question into a negative conclusion. Mark the market **Hold for verification** when the answer can change feasibility.

### 3. Build the Market Comparison

Evaluate only dimensions supported by evidence:

| Dimension | Typical evidence | Decision use |
|---|---|---|
| Demand | seller search/query data, sales history, current category and competitor observations | estimate buyer interest |
| Competition | relevant listings, price bands, ratings/reviews, brand concentration, offer quality | assess entry difficulty |
| Economics | price, currency, referral/FBA fees, freight, duty, tax treatment, returns, ads | estimate contribution margin |
| Operational fit | lead time, inventory placement, returns, customer service, replenishment | assess execution burden |
| Compliance readiness | documented requirements and seller-held evidence | determine go or hold |
| Localization effort | keyword, language, images, measurements, cultural fit, support | estimate launch work |
| Strategic fit | brand objective, catalog reuse, expansion sequence, capital | prioritize the pilot |

If numerical scoring is useful, define weights before scoring, show the formula, and leave unsupported dimensions unscored rather than fabricating precision.

### 4. Model Directional Unit Economics

Use a transparent per-unit model:

```text
Net proceeds before tax treatment
= customer price and seller-paid shipping
- marketplace referral and closing fees
- fulfillment or local delivery fees
- inbound freight and handling
- duty, customs, and brokerage estimates
- storage, returns, removals, and disposal allowance
- advertising and promotion allowance
- currency conversion and payout costs
- product and packaging cost
= directional contribution per unit
```

Show source, date, currency, range, and confidence for every material input. Keep VAT/GST/sales-tax treatment separate until a qualified professional confirms how prices, collections, credits, and registrations apply to the seller.

Run at least base, downside, and stress cases. Do not recommend a market only because the top-line price is higher.

### 5. Choose an Operating Model

Compare relevant options rather than assuming 

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

npx skills add nexscope-ai/Amazon-Skills --skill amazon-global-selling -g

git clone https://github.com/nexscope-ai/Amazon-Skills
git -C Amazon-Skills checkout 1bc9142374b1

Works in

1. 2026-10-19
   ✓SAFE B 89 / 100

   first audit · source 1bc9142374b1

Questions about Amazon Global Selling

• github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-global-sel — the audited source at commit 1bc9142374b1 and every finding aboveObserved · 19 Oct 2026

Spotted something wrong? Report a correction · Methodology