ad-campaign-analyzer
仓库创建 2026年1月15日最近提交 3 小时前SkillHot 收录 3 小时前
▸ 精选理由
强调不夸大因果、提供可验证的预算实验和不确定性度量,适合数据驱动决策。
这个 Skill 做什么
对跨渠道广告数据归一化分析、量化不确定性并提出可执行的预算测试建议。
把跨渠道的广告投放数据先归一化再分析,量化结论的不确定性,并给出有证据标注的可执行预算测试建议,避免过度宣称因果关系。适合在做跨平台投放对比、优化预算或设计试验时用。亮点是同时输出不确定度和边界化实验方案,让决策可测、稳健且不盲动。
▸ 展开 SKILL.md 英文原文
Analyze cross-channel campaign data, quantify uncertainty, and propose evidence-labeled budget tests without overstating causality.
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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/sickn33/agentic-awesome-skills/main/skills/ad-campaign-analyzer/SKILL.md或 curl 直取 SKILL.md
curl -fsSL "https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/skills/ad-campaign-analyzer/SKILL.md"SKILL.MD 节选查看完整文件 ↗
# Ad Campaign Analyzer ## Overview Take raw campaign performance data and turn it into testable decisions. Normalize the inputs, distinguish descriptive results from causal evidence, quantify uncertainty when the data supports it, and propose bounded budget experiments. **Core principle:** Most startup founders check their ad dashboard, see a ROAS number, and either panic or celebrate. This skill gives you the nuanced analysis a paid media specialist would: what's actually significant, what's noise, and where your next dollar should go. It also solves the allocation problem — most startups either spread budget too thin across channels (no channel gets enough to learn) or dump everything i
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