An automated Walmart marketplace intelligence agent that transforms seller traffic reports and item data into prioritized growth strategies.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install walmart-store-analyzer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install walmart-store-analyzer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Walmart Store Analyzer?
The Walmart Store Analyzer is a specialized tool designed for marketplace sellers to gain a competitive edge on the growing Walmart platform. As part of the Openclaw Skills ecosystem, it bridges the gap between raw seller data and actionable business intelligence by evaluating traffic sources, item-level conversion rates, and search engine visibility specifically for the Walmart algorithm.
This skill focuses on the unique nuances of Walmart's ecosystem, such as the Content Score, WFS fulfillment advantages, and the specific mechanics of the Walmart Buy Box. By providing deep insights into competitive positioning and Walmart Connect ad performance, it helps sellers transition from Amazon or scale their existing Walmart presence through data-driven listing optimizations and keyword research.
Walmart Store Analyzer Use Cases
- Analyzing Walmart traffic reports to identify high-view, low-conversion items that need listing updates.
- Tracking search rankings for specific Item IDs to monitor SEO performance against competitors.
- Conducting Buy Box win rate analysis to determine if pricing or fulfillment methods are hindering sales.
- Auditing Walmart Connect ad campaigns to optimize ROAS and reduce ACOS.
- Generating comprehensive weekly store performance reports to track revenue trends and return rates.
How Walmart Store Analyzer Works
- The user provides raw data such as Walmart traffic reports, Item IDs, or search terms to the agent.
- The agent processes the data through the Walmart Marketplace Framework, comparing metrics against industry benchmarks (e.g., CTR > 3%, Purchase rate > 2%).
- It evaluates listing health by calculating a Content Score based on Walmart's specific title, image, and description requirements.
- The agent performs a competitive gap analysis to see where the seller ranks on search result pages relative to other marketplace participants.
- Finally, it generates a structured workspace containing categorized reports and a prioritized weekly action plan.
Walmart Store Analyzer Setup
To integrate this skill into your environment, ensure you have the Openclaw Skills framework installed and follow these steps:
# Clone the repository
git clone https://github.com/mguozhen/walmart-store-analyzer
# The agent will automatically initialize the local workspace
# Navigation to the tracker directory:
cd ~/walmart-tracker/
Provide your Walmart Seller Center exported CSVs or paste data directly into the agent interface to begin analysis.
Walmart Store Analyzer Data Schema & Taxonomy
The skill organizes all intelligence within the ~/walmart-tracker/ directory using the following taxonomy:
| Directory | Data Content |
|---|---|
traffic/ |
Processed traffic report analyses including views and CTR trends |
keywords/ |
Walmart-specific keyword research and search volume estimates |
listings/ |
Listing optimization scores and specific content improvement notes |
ads/ |
Walmart Connect performance metrics (ROAS, ACOS, CPC) |
reports/ |
Consolidated full-store performance reports over specific periods |
Walmart Store Analyzer Advanced Features
- Multi-item comparison support to benchmark performance between different product lines.
- Integrated Listing Grade system that provides a 100% completion checklist for Walmart SEO.
- Automated Buy Box logic checks including fulfillment method (WFS) vs. price competitiveness.
- Competitive positioning mapping for mobile vs. desktop search result pages (SERPs).
- Detailed ad performance breakdown for Sponsored Products, Sponsored Brands, and Video Ads.
SKILL.md
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