
Amazon Deal Finder
If you're selling on Amazon and trying to figure out whether a Lightning Deal or coupon makes financial sense, this handles the math and strategy. You feed it your product margin, current sales velocity, and deal fee, and it tells you whether you'll actually make money. The framework covers deal type selection, ROI calculations, timing, and inventory prep. What I like is the stacking strategy piece, where it helps you coordinate coupons with PPC and deals instead of just running them in isolation. It also works across other platforms like Shopify and Walmart if you need cross channel planning. The follow up format keeps things efficient with multiple choice shorthand responses.
- skills.sh installs
- 1.2K
- GitHub stars
- 855
- last updated
- Aug 21, 2026
Install
$ npx -y skills add nexscope-ai/amazon-skills --skill amazon-deal-finder --agent claude-codeInstalls into .claude/skills of the current project.
Files
Amazon Deal Finder ⚡
Strategic deal planning and promotional optimization for Amazon sellers. Lightning Deals, coupons, and promotional ROI maximization.
Installation
npx skills add nexscope-ai/Amazon-Skills --skill amazon-deal-finder -g
Usage Examples
Deal strategy development:
"Plan Lightning Deal strategy for Q4 - which products should I promote and what's the ROI potential?"
Promotional campaign optimization:
"Compare Lightning Deals vs Coupons vs Best Deals for my electronics category - which gives best ROI?"
Deal timing and planning:
"When should I run my Lightning Deal for kitchen products to maximize sales and minimize cannibalization?"
Core Capabilities
1. Deal Type Analysis & Strategy Selection
- Comprehensive deal type evaluation (Lightning Deals, Best Deals, Coupons, Prime Exclusive)
- ROI analysis and profitability assessment for each promotional type
- Deal eligibility assessment and qualification requirements analysis
- Strategic timing and calendar planning for maximum impact
Sponsors
Details
- Repository
- github.com/nexscope-ai/amazon-skills
- Categories
- Productivity & Planning, Sales & Marketing
- First seen
- Jun 3, 2026
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