A

amazon-seller-analytics

bynexscope-aiBeta

Seller storefront analysis β€” revenue estimation, product portfolio, growth trajectory.

Beta skill: functional and available to install, but still being reviewed and improved by the Nexscope team.

Installation

Send this command to your AI agent:

npx skills add https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-seller-analytics --skill amazon-seller-analytics

Documentation

---

name: amazon-seller-analytics

description: "Analyze Amazon seller storefronts and product portfolios. Estimate revenue, identify top products, assess growth trajectory, and uncover strategy patterns. Useful for competitive intelligence and market research."

metadata:

nexscope:

emoji: "πŸ“Š"

category: amazon

---

Amazon Seller Analytics πŸ“Š

Analyze Amazon seller storefronts and product portfolios. Estimate revenue, identify top products, assess growth trajectory, and uncover strategy patterns. Useful for competitive intelligence and market research.

Supported platforms: Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.

Built by Nexscope β€” your AI assistant for smarter e-commerce decisions.

Install

npx skills add nexscope-ai/eCommerce-Skills --skill amazon-seller-analytics -g

Usage

Analyze this Amazon seller's strategy: they sell kitchen gadgets and have about 50 products. Help me understand their approach.

Capabilities

  • Seller storefront analysis (product count, categories, pricing strategy)
  • Revenue estimation from BSR and category benchmarks
  • Product portfolio assessment (hero products, long-tail, new launches)
  • Review velocity and quality scoring
  • Growth trajectory estimation
  • Competitive positioning analysis

How This Skill Works

Step 1: Collect information from the user's message β€” product, platform, current situation, and goals.

Step 2: Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a").

Step 3: Research and analyze using the frameworks and methodology below.

Step 4: Deliver structured, actionable output with specific recommendations, not vague advice.

Output Format

  • Start with a summary of findings
  • Include specific data points and benchmarks where available
  • Provide prioritized action items
  • Mark estimates with ⚠️ when based on incomplete data
  • End with concrete next steps

Other Skills

More e-commerce skills: nexscope-ai/eCommerce-Skills

Amazon-specific skills: nexscope-ai/Amazon-Skills

Built by Nexscope β€” your AI assistant for smarter e-commerce decisions.

Links

GitHub