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Skill249 repo starsupdated 3d ago

google-shopping-optimization

This Claude Code skill optimizes Google Shopping campaigns and product feeds to improve visibility and return on ad spend across multiple e-commerce platforms including Shopify, WooCommerce, and Amazon. Use it when you need to enhance feed quality, restructure campaigns, refine bidding strategies, or troubleshoot Google Merchant Center compliance issues to achieve specific ROAS targets.

Install in Claude Code
Copy
git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills /tmp/google-shopping-optimization && cp -r /tmp/google-shopping-optimization/google-shopping-optimization ~/.claude/skills/google-shopping-optimization
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# 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](https://www.nexscope.ai/?co-from=skill) — your AI assistant for smarter e-commerce decisions.

## Install

```bash
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](https://github.com/nexscope-ai/eCommerce-Skills)

Amazon-specific skills: [nexscope-ai/Amazon-Skills](https://github.com/nexscope-ai/Amazon-Skills)

Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) — your AI assistant for smarter e-commerce decisions.
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