Who it is forA seller or brand team with a weak or outdated product listing that needs a structured review before changes go live.
The problemListing edits are often made by feel, without a clear checklist or a record of what was changed and why.
The outcomeA revised listing draft, a list of changes with reasons, and the claims that still need checking against official rules.
What you need first
- Git installed, to clone the repo
- An AI agent that can read a SKILL.md file or load a Skill folder from a Skills directory
- The Amazon account or ad data the chosen Skill lists as required input (see its SKILL.md)
- Ability to read Chinese, since most Skill content is in Chinese
Steps
- Run
git clone https://github.com/xjli360/sealeap-amazon-skills.git - Run
cd sealeap-amazon-skills - Open amazon-skills/amazon-official/sealeap-amazon-listing-optimizer/ and read its SKILL.md
- Copy the folder into your agent's Skills directory
- Paste the current listing text and the target market, then ask the agent to flag any claim it cannot verify
Prompt for your agent
Using the sealeap-amazon-skills repo, run sealeap-amazon-listing-optimizer on the current listing for <product or listing name> in <marketplace>. Expect a revised draft, a change log with reasons, and a list of claims needing verification. Confirm that each change is tied to a stated reason and that no claim is presented as verified without a source.
Caveat. The README says the Skill content is a distillation of course and public material, so any revised listing needs review against Amazon's current listing rules and your account before publishing.
Get 5 new use cases every morning. Free, one short email, unsubscribe anytime.
Get them freeShare: X LinkedIn Hacker News Email Copy link
Disclaimer
Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked "Seen in the wild", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email [email protected] and we will look at it promptly. Full disclaimer page