An intelligent Amazon competitor analysis agent that automates traffic structural auditing and offensive keyword strategy generation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install walter-competitor
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 walter-competitor 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 Walter Competitor?
Walter Competitor is a sophisticated intelligence module designed for Amazon sellers to automate the process of offensive and defensive traffic analysis. By integrating with advanced data layers, this tool eliminates the need for manual ASIN tracking, instead utilizing category keywords and pricing data to map out the competitive landscape. As part of the Openclaw Skills ecosystem, it provides deep insights into how competitors distribute their spend across organic search, sponsored products, and video ads.
The skill goes beyond simple data collection by identifying specific competitor vulnerabilities, such as poor review sentiment (VOC) or thin keyword coverage. It synthesizes this information into a multi-tiered attack matrix (P0, P1, P2), offering actionable bidding recommendations and ROI projections based on your product's specific margins. This ensures that every advertising dollar is spent where competitors are most vulnerable.
Walter Competitor Use Cases
- Automatically discovering the Top 5 competitors for a specific product category.
- Analyzing the traffic distribution (Organic vs. Sponsored vs. Video) of rival ASINs.
- Identifying high-value keyword targets where competitors have weak or zero coverage.
- Generating data-driven advertising budget plans (Conservative, Standard, Aggressive).
- Mining Voice of Customer (VOC) data to find product quality gaps in leading competitor listings.
How Walter Competitor Works
- The user provides a category keyword and product price as initial inputs.
- The skill invokes the auto-discovery algorithm to score and rank competitors based on sales volume, relevance, and price proximity.
- Detailed intelligence is fetched in parallel for the top-ranked ASINs using the unified data layer.
- A traffic structure analysis is performed to visualize the market's organic and paid landscape.
- The Keyword Battle Matrix identifies attack targets by comparing search volume against competitor ranking positions.
- Weakness mining algorithms detect low traffic diversity or negative review trends (e.g., pilling, sizing issues).
- A final Traffic Battle Plan is outputted, categorized by execution priority (P0 to P2).
Walter Competitor Setup
To use this skill within the Openclaw Skills framework, ensure you have access to the SellerSprite API and the following core components:
# Ensure dependencies are in your skill path
cp unified_data_layer_v2.py ./skills/
cp sellersprite_mcp.py ./skills/
# Configure your environment variables
export SELLERSPRITE_API_KEY="your_api_key_here"
Initialize the skill by providing your product's target keyword and selling price in your agent configuration.
Walter Competitor Data Schema & Taxonomy
Walter Competitor organizes its intelligence into structured segments for easy ingestion by AI agents:
| Data Segment | Content Description |
|---|---|
| Competitor Lookup | ASIN, Monthly Sales, Price, Rating, and Relevance Score. |
| Traffic Structure | Percentage breakdown of Organic, SP Ads, Brand Ads, and Video Ads. |
| Keyword Matrix | Volume, Competitor Rank (P-Value), and recommended Action (Attack/Check). |
| VOC Analysis | Pain point themes, severity levels, and specific attack opportunities. |
| ROI Plan | Target CPA, Estimated CVR, and P&L projections per keyword. |
Walter Competitor Advanced Features
- Parallel intelligence gathering using ThreadPoolExecutor for rapid Top-5 analysis.
- Dynamic scoring algorithm that weights competitors based on sales (40%), relevance (30%), and price delta (10%).
- Automated Traffic Light System for ROI validation (Green/Yellow/Red status).
- Strategic VOC integration to turn competitor negative reviews into your product's marketing advantages.
- Multi-scenario budget forecasting for Conservative, Standard, and Aggressive growth paths.
SKILL.md
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