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Amz Product Optimizer
by
simoncai519
· GitHub ↗
· v1.0.0
· MIT-0
122
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0
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1
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3
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Install in OpenClaw
/install amz-product-optimizer
Description
Use when user wants to optimize Amazon product listings, generate product images, improve titles, monitor CTR, or automate end-to-end Amazon product optimiza...
README (SKILL.md)
Amazon Product Optimizer (AMZ Product Optimizer)
Overview
Automate the complete Amazon product optimization pipeline: hot keyword extraction, title generation, detail image creation, and main‑image click‑through‑rate (CTR) monitoring. Suitable for sellers, product managers, and cross‑border e‑commerce teams.
Core Workflow
- Get Hot Keywords – Scrape top keywords for the target niche.
- Read Product Data – Load products from a local JSON/CSV file.
- Optimize Titles – Generate fluent titles using the standard structure
[Brand] + [Core Keyword] + [Feature] + [Spec]. - Generate Detail Images – Create five scene‑based images via Taobao MCP.
- Save Results – Update the product file with new titles and image URLs.
- CTR Monitoring (optional) – Schedule daily checks of main‑image CTR, flagging products below the 5 % threshold.
Execution Modes
| Mode | Description | Typical Use |
|---|---|---|
full |
Run the entire pipeline end‑to‑end. | First‑time bulk optimization |
keywords_only |
Retrieve hot keywords only. | Market research |
optimize_names |
Optimize product titles only. | When titles need refresh |
generate_images |
Produce detail images only. | After titles are final |
monitor |
Perform CTR monitoring only. | Daily health check |
Parameters
- keyword (string, required) – The niche or product category, e.g.
"cat food". - product_file (string, required) – Path to a JSON/CSV containing product records.
- mode (string, optional, default
"full") – One of the modes above.
Usage Examples
User: Optimize my cat food listings
Assistant: (mode: full, keyword: "cat food", product_file: "products.json")
User: Show me hot keywords for dog beds
Assistant: (mode: keywords_only, keyword: "dog bed")
User: Generate detail images for product ID 12345
Assistant: (mode: generate_images, product_file: "products.json", keyword: "cat food")
User: Monitor main‑image CTR daily
Assistant: (mode: monitor)
Reference Files
references/optimization-guide.md– Detailed strategies for title optimization, image prompts, and CTR thresholds.scripts/– Helper scripts for keyword scraping, title generation, image creation, and monitoring (may be added later).
Notes
- Titles must follow the standard structure and avoid keyword stuffing or "Hot Search" markers.
- Image prompts are scene‑based to maximize conversion.
- CTR threshold recommended at 5 %; adjust via configuration.
- All results are saved back to the provided
product_file.
Created by Simon Cai · More e-commerce skills: github.com/simoncai519/open-accio-skill
Usage Guidance
Before installing or running this skill: (1) Ask the author to provide an explicit list of required credentials (Taobao/MCP, and Amazon/Seller Central or analytics) and how they will be used and stored. (2) Request a concrete install/runtime plan (how Python deps are installed, what scripts run, and where network calls go). (3) Do not hand over Amazon/Seller-Central credentials or broad API keys until you (or a reviewer) can inspect the code or scripts that will use them. (4) Clarify how CTR data is retrieved (API vs scraping) and whether the agent will perform scheduled background tasks — require explicit opt-in for daily monitoring. (5) Prefer running initial tests on a copy of your product file in an isolated environment. If the author cannot provide clear, verifiable details (code, install steps, or explicit credential requirements), treat the skill as untrusted.
Capability Analysis
Type: OpenClaw Skill
Name: amz-product-optimizer
Version: 1.0.0
The skill bundle describes a legitimate e-commerce automation workflow for Amazon product optimization, including keyword scraping, title generation, and image creation via a Taobao MCP service (ID: 19cf03a191f). The requested access to local product files and external dependencies (requests, beautifulsoup4) is consistent with the stated purpose, and no malicious instructions, exfiltration logic, or obfuscation were found in the SKILL.md or documentation.
Capability Assessment
Purpose & Capability
The skill claims to call Taobao MCP for image generation and to monitor main-image CTR (which would normally require Amazon/Seller-Central access), yet the package declares no required environment variables, credentials, or endpoints. The inclusion of a Taobao service ID in documentation without any declared credential handling is inconsistent with the stated capabilities.
Instruction Scope
SKILL.md instructs the agent to 'scrape top keywords', 'generate images via Taobao MCP', read/write local product JSON/CSV, and 'schedule daily checks' for CTR. It does not specify which endpoints/APIs to use for keyword scraping or CTR retrieval nor how credentials should be provided or protected, leaving broad discretion to the agent and unclear data flows.
Install Mechanism
This is instruction-only (no install spec or code files). The references list Python packages and an MCP service ID but there are no concrete install steps. While instruction-only reduces immediate disk-write risk, the missing install and dependency guidance is inconsistent with the declared Python dependencies and expected runtime actions.
Credentials
No environment variables or primary credentials are declared, yet operations described (Taobao MCP calls, CTR monitoring likely against Amazon analytics) normally require API keys/credentials. The lack of declared credentials is disproportionate to the external services the skill intends to use.
Persistence & Privilege
The skill suggests scheduling daily CTR monitoring and updating product files, implying ongoing background activity. Although it does not set always:true, autonomous invocation plus the unclear mechanism for scheduling and data access increases the risk of persistent network activity or repeated file writes without explicit user consent.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install amz-product-optimizer - After installation, invoke the skill by name or use
/amz-product-optimizer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Added a version field to explicitly specify version "1.0.0" in the metadata.
- Moved repository attribution to the end and reformatted it for clarity.
- No changes to functionality or workflow; documentation revision and metadata update only.
v0.1.1
- Added a repository attribution notice at the top of the SKILL.md file, referencing the source and providing a link for more e-commerce skills.
- No changes to functionality or features; only documentation updated.
v0.1.0
initial release
Metadata
Frequently Asked Questions
What is Amz Product Optimizer?
Use when user wants to optimize Amazon product listings, generate product images, improve titles, monitor CTR, or automate end-to-end Amazon product optimiza... It is an AI Agent Skill for Claude Code / OpenClaw, with 122 downloads so far.
How do I install Amz Product Optimizer?
Run "/install amz-product-optimizer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Amz Product Optimizer free?
Yes, Amz Product Optimizer is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Amz Product Optimizer support?
Amz Product Optimizer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Amz Product Optimizer?
It is built and maintained by simoncai519 (@simoncai519); the current version is v1.0.0.
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