
Amazon Competitor Analysis
This runs a complete competitive teardown for Amazon sellers who need to understand where they stand against specific ASINs. You plug in your product and competitor listings, and it compares everything from title optimization and review sentiment to pricing strategy and sponsored ad visibility. The output is structured around actionable gaps, not just data dumps. Useful when you're preparing a listing refresh or trying to figure out why a competitor ranks better. Built by Nexscope, works across multiple ecommerce platforms beyond Amazon. The shorthand answer format for follow-ups is a nice touch for speed.
- skills.sh installs
- 1.4K
- GitHub stars
- 855
- last updated
- Aug 21, 2026
Install
$ npx -y skills add nexscope-ai/amazon-skills --skill amazon-competitor-analysis --agent claude-codeInstalls into .claude/skills of the current project.
Files
Amazon Competitor Analysis 🏆
Full-spectrum competitor intelligence to outsmart your competition. Analyze listings, pricing, ads, and positioning gaps.
Installation
npx skills add nexscope-ai/Amazon-Skills --skill amazon-competitor-analysis -g
Usage Examples
Basic competitor analysis:
"Compare my dog bed against ASIN B0EXAMPLE1 and B0EXAMPLE2"
Competitive gap analysis:
"Find weaknesses in the top 5 competitors for 'wireless earbuds under $50'"
Market positioning analysis:
"How do competitors position their products in the home security category?"
Core Capabilities
1. Listing Quality Comparison
- Title optimization analysis vs competitors
- Bullet point effectiveness scoring
- Image quality and infographic comparison
- A+ Content analysis and gaps
2. Pricing & Positioning Strategy
- Price positioning in category context
- Deal frequency and promotional patterns
- Value proposition differentiation
- Market share estimation
3. Review Intelligence
- Sentiment comparison across competitors
- Common complaint patterns
- Feature request extraction
- Quality perception analysis
Sponsors
Details
- Repository
- github.com/nexscope-ai/amazon-skills
- Category
- Data Science & ML
- First seen
- Jun 3, 2026
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