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google-shopping-optimization

google-shopping-optimization

github.com/nexscope-aiMarketing & growth1.3k1.1k installsUpdated 9w ago
Repository

About google-shopping-optimization

A skill for optimizing Google Shopping product feeds and campaigns, intended for e-commerce sellers and marketers. It covers feed quality, campaign structure, bidding, and ROAS-oriented actions across listed commerce platforms.

Key features

  1. 01Optimize product titles, descriptions, images, and attributes
  2. 02Address Merchant Center compliance errors
  3. 03Choose campaign structure and bidding strategies
  4. 04Segment products and prioritize campaigns
  5. 05Manage negative keywords

Use cases

  1. 01Improve a Google Shopping product feed
  2. 02Resolve Merchant Center errors
  3. 03Review Standard Shopping and Performance Max structure
  4. 04Prioritize products to improve campaign ROAS

Install

Copy the command and run it in a terminal.

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

After installing, type/google-shopping-optimizationin Claude Code to confirm it loaded.

Details

From the project README

Google Shopping Optimization 🛒

Optimize Google Shopping campaigns and product feeds for maximum visibility and ROAS. Feed optimization, bidding strategy, campaign structure, and Performance Max integration.

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 google-shopping-optimization -g

Usage

Optimize my Google Shopping feed. I have 200 products on Shopify. Current ROAS is 3x, I want to hit 5x. Monthly budget: $5,000.

Capabilities

  • Product feed optimization (titles, descriptions, images, attributes)
  • Google Merchant Center compliance and error resolution
  • Campaign structure (Standard Shopping vs Performance Max)
  • Bidding strategy selection and optimization
  • Product segmentation and priority campaign structure
  • ROAS optimization by product group
  • Negative keyword management for Shopping campaigns

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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