A professional diagnostic tool for Amazon sellers to audit listing health, perform keyword research, and generate structured optimization recommendations.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install amazon-listing-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 amazon-listing-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 Amazon Listing Analyzer?
Amazon Listing Analyzer is a specialized tool designed for intermediate Amazon sellers with monthly revenues between $5k and $200k. It provides a comprehensive suite for listing diagnostics, including health scoring, keyword matrices, and competitor benchmarking. By leveraging a built-in rule engine and template library, it delivers actionable insights without requiring real-time API access.
This skill helps sellers identify critical issues in titles, bullet points, and descriptions while uncovering high-value keyword opportunities. As part of the ecosystem of Openclaw Skills, it focuses on providing structured, data-driven optimization packages to enhance product visibility and conversion rates on the Amazon marketplace.
Amazon Listing Analyzer Use Cases
- Evaluating the health score of an existing Amazon product listing to identify weaknesses.
- Conducting deep keyword research for a specific product category to improve SEO ranking.
- Benchmarking a product against competitor ASINs to find market gaps and differentiation points.
- Generating a complete optimization package for a new or underperforming listing.
How Amazon Listing Analyzer Works
- The user initiates a request via natural language or structured JSON input for health scoring, keyword analysis, or benchmarking.
- The skill parses the intent and extracts product details such as titles, bullet points, and backend keywords.
- It processes the data through a localized analysis module using internal rule databases and similarity templates.
- For health audits, it calculates a weighted average score across dimensions like title quality, compliance, and keyword density.
- The tool aggregates findings into a structured report containing diagnostic conclusions and prioritized optimization suggestions.
Amazon Listing Analyzer Setup
To integrate this capability into your environment, ensure you have the Openclaw Skills framework installed. Clone the repository and install dependencies:
# Navigate to the skill directory
cd amazon-listing-analyzer
# Run the handler directly to test functionality
python3 handler.py
# Run the test suite to verify requirements
python3 tests/test_handler.py
Amazon Listing Analyzer Data Schema & Taxonomy
The skill utilizes a structured I/O format to ensure compatibility across different agents. Data is organized into the following schema:
| Component | Description |
|---|---|
| Input Dict | Contains intent, product_title, bullet_points, search_terms, and competitor_asin. |
| Health Score | A 0-100 rating with breakdowns for title, bullets, description, and compliance. |
| Keyword Matrix | A list of keywords with search volume levels, competition metrics, and relevance scores. |
| Optimization Pkg | Comparative 'current vs suggested' text for all listing elements. |
Amazon Listing Analyzer Advanced Features
- Multi-dimensional scoring engine that evaluates title prefixes, brand placement, and Alt-text coverage.
- Keyword priority matrix that distinguishes between high-volume seeds and high-conversion long-tail phrases.
- Built-in compliance checker to flag prohibited terms or sensitive vocabulary automatically.
- Competitor gap analysis that identifies missing features or selling points relative to top-ranking ASINs.
SKILL.md
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