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product-title-optimization

product-title-optimization

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

About product-title-optimization

A title-optimization skill for e-commerce sellers that adapts product titles across platforms. It uses platform-specific structures and character limits, and can generate A/B variants for testing.

Key features

  1. 01Platform-specific title structures
  2. 02Keyword placement optimization
  3. 03Character limit checks
  4. 04A/B title variant generation
  5. 05Multi-platform title adaptation

Use cases

  1. 01Improve a product title for Amazon
  2. 02Adapt one title for Etsy and Shopify
  3. 03Create title variants for testing

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/nexscope-ai/ecommerce-skills --skill product-title-optimization

After installing, type/product-title-optimizationin Claude Code to confirm it loaded.

Details

From the project README

Product Title Optimization ✏️

Optimize product titles for search visibility and click-through rate across e-commerce platforms. Platform-specific title rules for Amazon (200 chars), Etsy (140 chars), Walmart, Shopify SEO, and eBay.

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 product-title-optimization -g

Usage

Optimize my product title for Amazon and Etsy. Product: handmade leather wallet, RFID blocking, bifold, for men. Current Amazon title: 'Leather Wallet for Men'.

Capabilities

  • Platform-specific title structure templates
  • Keyword placement optimization (front-loading high-value terms)
  • Character limit compliance per platform
  • Click-through rate optimization (benefit-driven language)
  • A/B title variant generation for testing
  • Multi-platform title adaptation from a single product

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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