sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap
95 / 100 · Low risk
Fine to try. Some of what it can do is expected: a marketing skill usually talks to online services.
Create a guarded Amazon Ads launch plan that prioritizes query relevance, listing alignment, conversion evidence, and capped learning spend. Use when a new product has little history and the team wants to improve auction eligibility without assuming a hidden fixed weight score.
What this skill can do
Connects to the internet
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap' ] || [ -L ~/.agents/skills/'sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap' ]; then echo 'A skill folder named sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/xjli360/sealeap-amazon-skills' "$d" && git -C "$d" checkout --quiet '1283764556e61cbe56c600bbe504b8731b2254cb' -- 'amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap' && mkdir -p ~/.agents/skills && cp -R "$d"/'amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap' ~/.agents/skills/'sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap' && rm -rf "$d"; fi
Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap' ~/.claude/skills/'sealeap-xiezhi-amazon-ad-relevance-weight-bootstrap' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
[](https://zalavijaysinh.github.io/skilltrust/repos/xjli360/sealeap-amazon-skills/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-07 | 1283764 | 100 |