Who it is forA seller with a product idea who wants a structured selection check before committing money to stock.
The problemProduct selection often depends on scattered tips with no clear decision inputs or steps.
The outcomeA selection workflow with input checklist, decision basis, and steps, applied to one product idea, with missing data marked.
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/douyin/ and pick a selection or market research Skill from the catalog
- Copy that Skill folder into your agent's Skills directory
- Give the agent the product idea and the target marketplace, and ask for the input checklist first
Prompt for your agent
Using the sealeap-amazon-skills repo, run a selection Skill from amazon-skills/douyin/ on the product idea <product idea> for <marketplace>. Expect an input checklist, the decision basis, a step-by-step screen, and a list of unknown data. Check that the agent marks every missing number as unknown rather than estimating it as fact.
Caveat. The Douyin material was distilled from public creator sharing and has no creator identities, so the agent cannot check who said what, and results should be tested against current marketplace data.
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