nexscope-ai/ecommerce-skills

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.

Trending #9347 First seen Mar 24, 2026

Installation

$ npx skills add nexscope-ai/ecommerce-skills --skill google-shopping-optimization

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 886
License MIT
Default branch main
Open issues 3
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

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nexscope
{"emoji":"🛒","category":"ecommerce"}

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,411 B
  • docs SUMMARY.md 211 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 845 installs

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 — 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.