Amazon Product Research

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.

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-product-researchThe 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: Comprehensive product research and opportunity analysis for Amazon sellers. Analyzes demand, competition, profit potential, market entry barriers, and validates product ideas. Covers product sourcing, pricing strategy,…

---
name: amazon-product-research
description: "Comprehensive product research and opportunity analysis for Amazon sellers. Analyzes demand, competition, profit potential, market entry barriers, and validates product ideas. Covers product sourcing, pricing strategy, and go-to-market planning. Use when the user asks about researching a product to sell, validating product ideas, product opportunity analysis, market research for Amazon, competition analysis, profit potential, should I sell this product, product viability, or any general product research questions."
metadata: {"nexscope":{"emoji":"🔍","category":"amazon"}}
---

# Amazon Product Research 🔍

Complete product research framework for Amazon sellers. Validate ideas, analyze opportunities, assess competition.

## Installation

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

## Capabilities

- **Product opportunity scoring**: Comprehensive 1-10 rating across 8 key factors
- **Demand analysis**: Search volume, seasonal patterns, growth trends
- **Competition assessment**: Competitor count, dominance, market fragmentation
- **Profit potential calculation**: Margin analysis, FBA fee impact, pricing strategies  
- **Market entry analysis**: Barriers, investment required, time to profitability
- **Sourcing guidance**: Supplier options, MOQ requirements, quality considerations
- **Risk evaluation**: Market risks, regulatory issues, trend sustainability
- **Multi-marketplace support**: US, UK, DE, FR, IT, ES, JP, CA, AU, IN, MX, BR

## Usage Examples

Users can ask naturally. Examples:

```
Research "wireless earbuds" as a product opportunity on Amazon
```

```
I want to sell yoga mats. Is this a good product to research?
```

```
Analyze the market for "smart water bottles" - demand, competition, profit potential
```

```
Should I sell "phone cases" or "phone stands"? Compare both opportunities
```

```
Research "Hundehalsbänder" on Amazon Germany - full market analysis
```

```
I found a product on AliExpress for $3, sells on Amazon for $25. Research this opportunity
```

## Workflow

### Step 1: Product & Market Intelligence

Gather comprehensive market data using `web_search`:

1. **Search volume & interest**: `"[product]" Amazon search volume trends`
2. **Market size indicators**: `"[product]" market size revenue Amazon"`  
3. **Category positioning**: `"[product]" Amazon category best sellers"`
4. **Seasonal patterns**: `"[product]" seasonal demand trends Amazon"`

**What to extract:**
- Approximate search volume (if available)
- Market growth indicators (growing/stable/declining)  
- Category context (main category, subcategories)
- Seasonal fluctuations and peak periods

### Step 2: Competition Deep Dive

Analyze the competitive landscape systematically:

1. **Competition density**: `"[product]" site:amazon.com` - total result count
2. **Top sellers analysis**: `"best [product]" Amazon top rated reviews`
3. **Price range mapping**: `"[product]" Amazon price $X $Y $Z` (test different ranges)
4. **Brand dominance**: `"[product]" Amazon brand market leader`

**Competition Metrics:**
- **Total competitors**: Number of products in search results
- **Market concentration**: Top 3 brands' market share estimate  
- **Review distribution**: How many products have 100+, 1000+, 5000+ reviews
- **Price ranges**: Budget ($), mid-range ($$), premium ($$$) segments
- **Quality indicators**: Average ratings, common complaints

**Competition Scoring (1-10):**
- 9-10: Highly fragmented market, no dominant players
- 7-8: Some established brands but room for new entrants
- 5-6: Mixed market with some strong competitors  
- 3-4: 2-3 dominant brands control most sales
- 1-2: Market dominated by 1 major brand or Amazon basics

### Step 3: Demand Validation

Use multiple sources to validate real demand:

1. **Google Trends**: `web_fetch` on `https://trends.google.com/trends/explore?q=[product]&geo=US`
2. **Amazon autocomplete**: Manual check for `[product] + [letters]` suggestions
3. **Related searches**: `"people also search [product]"` patterns
4. **Social validation**: `"[product]" reddit reviews complaints site:reddit.com`

**Demand Signals:**
- **Search trends**: Rising/stable/declining over 12 months
- **Autocomplete depth**: How many variations Amazon suggests
- **Social buzz**: Discussion volume, sentiment in communities
- **Seasonality**: Clear patterns vs. consistent year-round demand

**Demand Scoring (1-10):**
- 9-10: Strong upward trend, growing search volume
- 7-8: Stable high demand, consistent search patterns
- 5-6: Moderate demand with seasonal variations
- 3-4: Declining trend or very seasonal demand  
- 1-2: Low/sporadic demand or niche market only

### Step 4: Profitability Analysis

Calculate realistic profit potential:

1. **Pricing research**: Extract price ranges from competition analysis
2. **Cost estimation**: Research supplier costs using `"[product]" Alibaba wholesale price"`  
3. **FBA fee calculation**: Use Amazon's fee structure for product dimensions/weight
4. **Total cost breakdown**: Product + shipping + FBA + Amazon fees + marketing

**Profit Framework:**
```
Selling Price:           $X.XX
- Product Cost (40%):    -$X.XX  
- Amazon Fees (15%):     -$X.XX
- FBA Fees (varies):     -$X.XX  
- Shipping (5-10%):      -$X.XX
- Marketing (10-20%):    -$X.XX
- Returns/Misc (5%):     -$X.XX
= Net Profit Margin:     $X.XX (target: 20%+ of selling price)
```

**Profitability Scoring (1-10):**
- 9-10: 30%+ net margin possible, premium positioning
- 7-8: 20-30% margins with good volume potential  
- 5-6: 15-20% margins, decent but competitive
- 3-4: 10-15% margins, tight but workable
- 1-2: <10% margins, high risk/low reward

### Step 5: Market Entry Assessment

Evaluate barriers and requirements:

1. **Investment analysis**: `"sell [product] Amazon startup costs investment"`
2. **Regulatory research**: `"[product]" FDA certification requirements Amazon"` (if applicable)
3. **Sourcing complexit

Excerpt, first 6,002 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-product-research -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 Product Research

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

Spotted something wrong? Report a correction · Methodology