# Research Amazon Product Opportunities

Amazon sellers need evidence before buying inventory. This skill structures demand, competition, profit, and entry research for Amazon product ideas.

## Install

```bash
npx skillstore add nexscope-ai/amazon-product-research
```

## Metadata

- Status: approved
- Slug: nexscope-ai-amazon-product-research
- Skillstore revision: r1
- Version status: missing
- Tree hash: 58d3d87b4523d6528c63bef3ebfa91c43e6f1887a088c0f6cf0526f03205b2ee
- Author: nexscope-ai
- GitHub username: nexscope-ai
- License: MIT
- Repository: https://github.com/nexscope-ai/amazon-skills/tree/main/amazon-product-research/
- Ref: e397ce5a135369cd6def89cb6400d013e2f68f2f
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: external\_commands, network
- Quality score: 78
- Quality tier: bronze
- Public page: https://skillstore.pages.dev/skills/nexscope-ai-amazon-product-research
- Manifest: https://skillstore.pages.dev/api/skills/nexscope-ai-amazon-product-research/manifest

## Capabilities

- Scores product opportunities across demand, competition, profit, entry difficulty, growth, differentiation, seasonality, and risk
- Guides public web research for search trends, category context, and social validation
- Maps competitor density, market leaders, review patterns, and price segments
- Builds profit estimates with product cost, Amazon fees, FBA fees, shipping, marketing, and returns
- Compares multiple products with side-by-side scoring and a clear recommendation
- Flags market, operational, regulatory, and financial risks before sourcing

## Use Cases

- Validate a First Product: Compare demand, competition, and startup costs before buying inventory.
- Screen a Product Pipeline: Rank product ideas and focus research on the strongest opportunities.
- Prepare a Client Brief: Create structured opportunity reports with risks, margins, and launch considerations.

## Prompt Templates

### Research One Product

```
Research [product] as an Amazon opportunity in [marketplace]. Score demand, competition, profit potential, entry difficulty, and key risks.
```

### Compare Two Ideas

```
Compare [product A] and [product B] for Amazon [marketplace]. Recommend the stronger option with scoring, margins, and entry barriers.
```

### Analyze a Supplier Lead

```
I can source [product] for [cost] and sell near [price]. Estimate fees, margin, competition, demand, and launch risks.
```

### Build a Category Entry Plan

```
Create a go-to-market research plan for [category] on Amazon [marketplace]. Include positioning, differentiation, sourcing checks, compliance, and success metrics.
```

## Limitations

- It relies on public web data unless the user provides paid marketplace data.
- Sales volume, supplier cost, and margin estimates require direct verification.
- It does not connect to Amazon Seller Central or supplier systems.
- Regulatory guidance is directional and is not legal advice.

## Best Practices

- Research three to five related products before choosing one opportunity.
- Verify fees, supplier costs, and compliance requirements with primary sources.
- Use customer complaints to define differentiation before sourcing inventory.

## Anti Patterns

- Do not treat public search estimates as confirmed sales data.
- Do not ignore regulations for electronics, food, beauty, medical, or children products.
- Do not launch commodity products without a clear differentiation plan.

## Security Audit

- Audited at: 2026-07-06T19:51:12.983\+00:00
- Summary: The static findings are false positives from Markdown fences, inline examples, public research URLs, and product-scoring language. No executable scripts, secret collection, prompt injection, or host reconnaissance intent was found in SKILL.md.

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