walmart-listing-optimization
About walmart-listing-optimization
walmart-listing-optimization is an AI skill for adapting and improving product listings for Walmart Marketplace search and conversion. It covers listing content, attributes, rich media, and Walmart-specific requirements, with comparisons to Amazon listings.
Key features
- 01Content Quality Score optimization
- 02Title, description, and attribute updates
- 03Rich media recommendations
- 04Category attribute completion
- 05Walmart and Amazon listing comparison
- 06Seller badge and ad readiness checks
Use cases
- 01Adapting an Amazon listing for Walmart
- 02Improving Walmart search visibility
- 03Checking category attributes and rich media
- 04Assessing seller badge or ad readiness
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ nexscope-ai/ ecommerce-skills --skill walmart-listing-optimizationAfter installing, type/walmart-listing-optimizationin Claude Code to confirm it loaded.
Details
From the project READMEWalmart Listing Optimization 🏪
Optimize Walmart Marketplace product listings for search visibility and conversion. Covers Walmart SEO, content quality scoring, rich media, and Walmart-specific listing requirements.
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 walmart-listing-optimization -g
Usage
Optimize my Walmart listing for a kitchen knife set. I already sell it on Amazon and want to adapt the listing for Walmart's algorithm.
Capabilities
- Walmart Content Quality Score optimization
- Title, description, and attribute optimization for Walmart search
- Rich media and shelf description recommendations
- Category-specific attribute completion
- Walmart vs Amazon listing difference guide
- Pro Seller badge qualification checklist
- Walmart Connect ad readiness assessment
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.