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market-gap-analysis

market-gap-analysis

github.com/nexscope-aiMarketing & growth1.3k1.3k installsUpdated 9w ago
Repository

About market-gap-analysis

market-gap-analysis is a skill for e-commerce sellers seeking unmet customer needs. It finds opportunities by examining competitor coverage, review pain points, search demand versus supply, and underserved segments.

Key features

  1. 01Identify competitor coverage gaps
  2. 02Extract review pain points and opportunities
  3. 03Analyze search demand versus supply
  4. 04Find underserved customer segments
  5. 05Compare price and product feature gaps

Use cases

  1. 01Assess unmet demand in a product category
  2. 02Use reviews to guide product improvements
  3. 03Find categories with demand exceeding supply

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/nexscope-ai/ecommerce-skills --skill market-gap-analysis

After installing, type/market-gap-analysisin Claude Code to confirm it loaded.

Details

From the project README

Market Gap Analysis 🎯

Identify underserved market gaps and unmet customer needs in e-commerce. Analyzes competitor blind spots, review pain points, search demand without adequate supply, and emerging customer segments.

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

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

Install

npx skills add nexscope-ai/eCommerce-Skills --skill market-gap-analysis -g

Usage

Find market gaps in the home office furniture category on Amazon. What are customers asking for that nobody is providing well?

Capabilities

  • Competitor coverage gap identification
  • Review-based pain point extraction and opportunity mapping
  • Search demand vs supply analysis
  • Underserved customer segment identification
  • Price gap analysis (price points with no quality options)
  • Feature gap mapping across competitor products

How This Skill Works

Step 1: Collect information from the user's message — 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 — your AI assistant for smarter e-commerce decisions.

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