paid-ads-review

仓库创建 2026年3月27日最近提交 17 小时前SkillHot 收录 1 小时前

▸ 精选理由

便于定期监控KPI与追踪健康，适合例行报告需求。

这个 Skill 做什么

生产跨渠道的付费媒体只读绩效评估与证据汇总报告。

把不同广告平台的数据拉在一起，做只读的、基于证据的投放绩效盘点，像周报或月度评分卡会用到。能把 CPA/ROAS、CTR、投放花费、投放节奏和转化追踪健康等指标做横向对比，并标注数据定义和货币差异。特别之处是只读且注重可比证据，缺失的数据会提示去获取导出而不是盲目合并。

▸ 展开 SKILL.md 英文原文

Produce a read-only, evidence-based paid-media performance review across connected platforms or supplied exports. Use for weekly or monthly reports, scorecards, performance, CPA, ROAS, CTR, spend trends, pacing, or conversion-tracking health.

垂直行业绩效回顾报告转化追踪通用

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安装 / 使用

给你的 Agent 一句话（通用）

帮我安装这个 skill：https://raw.githubusercontent.com/nowork-studio/NotFair/main/paid-ads/paid-ads-review/SKILL.md

或 curl 直取 SKILL.md

curl -fsSL "https://raw.githubusercontent.com/nowork-studio/NotFair/main/paid-ads/paid-ads-review/SKILL.md"

SKILL.MD 节选查看完整文件 ↗

# Paid Ads Review

Read `../shared/operating-contract.md` and `../shared/measurement-framework.md`. This is read-only.

## Assemble comparable evidence

Check which sources are actually connected, request the missing export rather than reporting a failed call, and use the most recent complete equivalent window. For every source, keep currency, conversion definition, attribution window, and reporting lag visible. Verify tracking before treating CPA, ROAS, or revenue as a decision-grade metric.

For live Google and Meta accounts, hand data collection and platform-specific diagnostics to `/notfair:google-ads` and `/notfair:meta-ads`. Keep LinkedIn, TikTok, Amazon, and ChatGPT Ads review grounde

via SKILL·HOT · 数据来自 GitHub 公开信息 · 原文版权归作者所有