Agent skill · data analytics · nexscope-ai
amazon-seller-analytics
Seller storefront analysis and competitive intelligence for Amazon. Analyzes seller revenue estimation, product portfolio strategy, growth trajectory, and market positioning. Reverse-engineer successful seller strategies and identify expansion opportunities. Use when the user asks about analyzing sellers, competitor seller analysis, seller revenue estimation, storefront analysis, seller strategy, or learning from successful Amazon sellers.
Why this skill is useful
Provides specific methodologies for analyzing Amazon seller performance and competitive strategies that the AI wouldn't reliably generate on its own.
What it needs
Requires nexscope-ai/amazon-skills installed locally. About 7k tokens when loaded. Last updated 2026-07-23. 504 stars on the source repository.
What this skill does
Amazon Seller Analytics 📊 Analyze seller storefronts and reverse-engineer winning strategies. Competitive intelligence for Amazon success. Installation Capabilities Revenue estimation: Calculate seller monthly/annual revenue from visible data Product portfolio analysis: Category diversification, pricing strategy, product mix Growth trajectory tracking: Historical expansion patterns and launch sequences Market positioning assessment: Brand positioning, customer targeting, competitive advantages Inventory strategy analysis: Stock depth, product lifecycle management, seasonal planning Pricing strategy evaluation: Margin optimization, competitive positioning, price changes Launch pattern identification: How successful sellers introduce new products Multi-marketplace tracking: Cross-platform seller presence and strategy Usage Examples Users can ask naturally. Examples: Workflow Step 1: Seller Identification & Basic Intelligence Gather foundational seller information: 1. Seller discovery: "top Amazon sellers [category]" or analyze specific seller names 2. Storefront access: "[seller name] Amazon storefront" - find their seller page 3. Basic metrics: "[seller name] Amazon seller feedback rating reviews" 4. Market presence: "[seller name] brand Amazon marketplace years" Key Data Points: Seller name and brand(s) operated Years active on Amazon (account age) Overall seller feedback score and review count Estimated number of active products Primary categories/markets served Step 2: Product Portfolio Deep Dive Analyze their complete product strategy: 1. Product catalog: "[seller name] products Amazon site:amazon.com" 2. Category spread: Map products across different Amazon categories 3. Price range analysis: Identify pricing tiers and market positioning 4. Product relationships: Look for complementary products, bundles, variations Portfolio Analysis Framework: A. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills nexscope-ai/amazon-seller-analytics