Agent Skillsnowork-studio/notfair-plugin › paid-ads-amazon

paid-ads-amazon

GitHub

用于规划与审查亚马逊广告,结合利润率与ACoS设定目标,提供自动或手动投放策略,并生成包含花费、转化及库存风险的可审核执行简报。

paid-ads/paid-ads-amazon/SKILL.md nowork-studio/notfair-plugin

Trigger Scenarios

制定亚马逊广告投放计划 审查亚马逊广告绩效报告 优化ACoS与利润率平衡

Install

npx skills add nowork-studio/notfair-plugin --skill paid-ads-amazon -g -y
More Options

Non-standard path

npx skills add https://github.com/nowork-studio/notfair-plugin/tree/main/paid-ads/paid-ads-amazon -g -y

Use without installing

npx skills use nowork-studio/notfair-plugin@paid-ads-amazon

指定 Agent (Claude Code)

npx skills add nowork-studio/notfair-plugin --skill paid-ads-amazon -a claude-code -g -y

安装 repo 全部 skill

npx skills add nowork-studio/notfair-plugin --all -g -y

预览 repo 内 skill

npx skills add nowork-studio/notfair-plugin --list

SKILL.md

Frontmatter
{
    "name": "paid-ads-amazon",
    "description": "Plan and review Amazon Ads with margin-aware ACoS, product, and search-term guardrails. Use for Amazon advertising, Sponsored Products, Sponsored Brands, Sponsored Display, ASIN targeting, Amazon ACoS, or Amazon Ads performance exports.",
    "argument-hint": "<ASIN, product line, target ACoS, or Amazon export>"
}

Amazon Ads Planning

Read ../shared/operating-contract.md and ../shared/measurement-framework.md. This plugin does not declare a first-party NotFair Amazon Ads MCP mutation surface; use a verified connector or supplied report and deliver a reviewable operator brief.

Start with unit economics

Record the product/ASIN, marketplace, currency, contribution margin, price, inventory constraint, and target ACoS. ACoS is spend divided by attributed ad revenue; it is only good or bad relative to margin and the user's strategic goal. Separate the advertised product from any measured cross-sell before judging performance.

Propose the narrowest learning plan: product scope, campaign intent, automatic discovery or manual term/ASIN hypothesis, budget, negative/exclusion rule, and review window. Treat search-term findings as evidence for targeted negatives or promotion into controlled targeting, not as a reason to remove broad discovery prematurely.

Review and handoff

Report spend, attributed sales, ACoS, ROAS if useful, orders, conversion rate, search-term quality, and inventory risk for a complete comparable window. State reporting lag and attribution source. Mark changes ready_for_review until a verified connector or authorized Amazon Ads operator confirms the exact result.

Version History

  • 8d9d54b Current 2026-08-19 23:11

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Metadata

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Version
8d9d54b
Hash
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Indexed
2026-08-19 23:11

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