Summary
This handles the annoying parts of Google Shopping: feed optimization, campaign structure, and getting your ROAS up without burning budget. It walks through product titles, descriptions, attributes, then helps you pick between Standard Shopping and Performance Max based on your setup. Works across Shopify, WooCommerce, Amazon, and other platforms. The flow is sensible: it asks one multiple-choice follow-up to fill gaps, then delivers specific recommendations instead of generic advice. Useful if you're stuck at 3x ROAS and need to restructure product groups or fix Merchant Center errors without hiring an agency. Built by Nexscope, which makes a bunch of other ecommerce skills worth checking out if this one clicks.
Install to Claude Code
npx -y skills add nexscope-ai/ecommerce-skills --skill google-shopping-optimization --agent claude-codeInstalls into .claude/skills of the current project.
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Files
SKILL.mdView on GitHub
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.
Featured
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
