An AI-powered auditing agent that scores Amazon listing readiness and provides a strategic roadmap for successful product launches.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install amazon-launch-checklist
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install amazon-launch-checklist using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Amazon Launch Checklist is a specialized agent within the Openclaw Skills ecosystem designed to prevent sellers from wasting advertising spend on incomplete or unoptimized listings. By analyzing listing drafts, competitor data, and pricing strategies, it provides a data-driven readiness score (0-100) and identifies critical blockers that could hinder conversion.
This skill acts as a virtual launch manager, evaluating everything from image requirements and backend keyword density to PPC campaign architecture. Whether you are a seasoned FBA seller or launching your first product, this tool ensures your listing meets Amazon's high standards and is positioned to win against established competitors.
To use this skill within your AI agent environment, ensure the Openclaw Skills framework is active and the directory is initialized:
# Initialize the launch workspace
mkdir -p ~/amazon-launch/listings ~/amazon-launch/launch-plans
# Run your first audit
launch audit
The skill maintains a structured workspace in ~/amazon-launch/ to track launch progress and historical audits:
| Directory/File | Description |
|---|---|
listings/ |
Contains markdown files of listing drafts and per-ASIN audit scores. |
launch-plans/ |
Stores generated day-by-day launch sequences and timelines. |
templates/ |
Reusable snippets for PPC campaign structures and A+ content outlines. |
memory.md |
Persistent storage for brand guidelines, category benchmarks, and lessons learned. |
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