
Amazon Product Research
If you're evaluating Amazon product opportunities, this does the grunt work of assessing demand, competition, and profit potential so you don't have to manually scrape BSRs and review counts. It asks one follow-up question to nail down your product and goals, then gives you a structured breakdown with specific data points on market size, seller saturation, FBA costs, and entry barriers. The real value is in how it surfaces differentiation opportunities by analyzing review gaps and flags seasonal patterns you might miss. Works across major platforms beyond Amazon. Just don't expect magic numbers when the market data is sparse, it'll mark estimates with a warning flag.
- skills.sh installs
- 78.3K
- GitHub stars
- 855
- last updated
- Aug 21, 2026
Install
$ npx -y skills add nexscope-ai/amazon-skills --skill amazon-product-research --agent claude-codeInstalls into .claude/skills of the current project.
Files
Amazon Product Research 🔍
Complete product research framework for Amazon sellers. Validate ideas, analyze opportunities, assess competition.
Installation
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?
Sponsors
Details
- Repository
- github.com/nexscope-ai/amazon-skills
- Categories
- Data Science & ML, Productivity & Planning, Sales & Marketing, Go
- First seen
- Jun 3, 2026
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