ads-competitor by agricidaniel/claude-ads
npx skills add https://github.com/agricidaniel/claude-ads --skill ads-competitorads/references/benchmarks.md 以获取行业 CPC/CTR/CVR 基准| 来源 | 平台 | 可获取信息 |
|---|---|---|
| Google Ads 透明度中心 | 活跃广告、广告格式、地理定位 | |
| Meta 广告资料库 | Meta/Instagram | 所有活跃广告、创意、文案、支出范围 |
| LinkedIn 广告资料库 | 公司主页的活跃广告 | |
| TikTok 创意中心 | TikTok | 热门广告、趋势创意、话题标签 |
| Microsoft Ads | Microsoft |
广告位招租
在这里展示您的产品或服务
触达数万 AI 开发者,精准高效
| 有限 — 使用竞价洞察 |
可从用户自己的 Google Ads 账户获取:
为每个竞争对手记录:
将竞争对手的信息归类为主题:
| 主题 | 竞争对手 A | 竞争对手 B | 您的品牌 |
|---|---|---|---|
| 价格/价值 | ✅ 主要 | ⚠️ 次要 | ? |
| 质量/高端 | ❌ | ✅ 主要 | ? |
| 速度/便利性 | ⚠️ 次要 | ❌ | ? |
| 信任/权威 | ✅ 主要 | ✅ 主要 | ? |
| 创新 | ❌ | ⚠️ 次要 | ? |
Meta 广告资料库显示政治/社会广告的支出范围
Google 竞价洞察 + 展示份额 = 方向性支出估算
第三方工具(SEMrush、SpyFu)用于更精确的估算
手动估算公式:
预估月支出 = 展示次数 × CPM / 1000 或 预估月支出 = 点击次数 × 预估 CPC
COMPETITOR-INTELLIGENCE-REPORT.md — 完整的竞争分析
COMPETITIVE-GAPS.md — 从竞争对手分析中识别的机会
每周安装量
43
代码库
GitHub 星标数
815
首次出现
2026年2月16日
安全审计
安装于
codex42
opencode41
gemini-cli41
github-copilot41
cursor41
amp40
ads/references/benchmarks.md for industry CPC/CTR/CVR baselines| Source | Platform | What You Can Find |
|---|---|---|
| Google Ads Transparency Center | Active ads, formats, geo targeting | |
| Meta Ad Library | Meta/Instagram | All active ads, creative, copy, spend range |
| LinkedIn Ad Library | Active ads from company pages | |
| TikTok Creative Center | TikTok | Top ads, trending creative, hashtags |
| Microsoft Ads | Microsoft | Limited — use auction insights |
Available from the user's own Google Ads account:
For each competitor, document:
Categorize competitor messaging into themes:
| Theme | Competitor A | Competitor B | Your Brand |
|---|---|---|---|
| Price/Value | ✅ Primary | ⚠️ Secondary | ? |
| Quality/Premium | ❌ | ✅ Primary | ? |
| Speed/Convenience | ⚠️ Secondary | ❌ | ? |
| Trust/Authority | ✅ Primary | ✅ Primary | ? |
| Innovation | ❌ | ⚠️ Secondary | ? |
Meta Ad Library shows spend ranges for political/social ads
Google Auction Insights + impression share = directional spend estimate
Third-party tools (SEMrush, SpyFu) for more precise estimates
Manual estimation formula:
Estimated Monthly Spend = Impressions × CPM / 1000
or
Estimated Monthly Spend = Clicks × Estimated CPC
COMPETITOR-INTELLIGENCE-REPORT.md — Full competitive analysis
COMPETITIVE-GAPS.md — Opportunities identified from competitor analysis
Weekly Installs
43
Repository
GitHub Stars
815
First Seen
Feb 16, 2026
Security Audits
Gen Agent Trust HubPassSocketPassSnykWarn
Installed on
codex42
opencode41
gemini-cli41
github-copilot41
cursor41
amp40
DOCX文件创建、编辑与分析完整指南 - 使用docx-js、Pandoc和Python脚本
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