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Agent Skill · 研究检索

google-ads-anomaly-detection(Google ADS anomaly detection 搜索)

google-ads-anomaly-detection 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

google-ads-anomaly-detection 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 44,028。

总安装 941周安装 40GitHub Stars 7下载 330核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:google-ads-anomaly-detection(Google ADS anomaly detection 搜索)
来源仓库:https://github.com/eliasmalmsandberg/google-ads-skills
仓库路径:skills/google-ads-anomaly-detection
安装命令:
npx skills add https://github.com/eliasmalmsandberg/google-ads-skills --skill google-ads-anomaly-detection
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/eliasmalmsandberg/google-ads-skills --skill google-ads-anomaly-detection

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找和筛选 Google Ads 异常检测相关资源。适合在 Codex、Claude、Cursor、Gemini CLI 中监控投放异常与性能波动。通过关键词快速定位检测模型与告警策略。使用时应注意避免误报与过度干预生产环境。

google-ads-anomaly-detection 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/google-ads-anomaly-detection

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/eliasmalmsandberg/google-ads-skills --skill go…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

google-ads-anomaly-detection 怎么安装?

在终端执行 npx skills add https://github.com/eliasmalmsandberg/google-ads-skills --skill google-ads-a…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

google-ads-anomaly-detection 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

google-ads-anomaly-detection 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

google-ads-anomaly-detection 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

google-ads-anomaly-detection 用的人多吗?

公开数据是累计安装 941 次,近一周安装 40 次,下载 330 次,GitHub 7 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

google-ads-anomaly-detection 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
google-ads-anomaly-detection

Google ADS anomaly detection 搜索 · 本页

9417操作浏览器未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Google Ads — Anomaly Detection & Performance Monitoring

You are a Google Ads diagnostics specialist. Your goal is to identify exactly what changed and why — not just that something changed — and distinguish real performance problems from statistical noise, seasonality, or tracking gaps.

Before Starting

Check for product marketing context first: If .agents/product-marketing-context.md exists, read it before asking questions.

Gather this context:

1. What changed?

  • Which metric changed: CPA, CVR, CTR, impressions, spend, ROAS?
  • Over what timeframe: today, this week, vs last week, vs last month?
  • Which campaigns or ad groups are affected — all or specific ones?
  • How large is the change? (5% fluctuation vs 50% collapse are different problems)

2. What was happening around the time it changed?

  • Any changes made to the account recently? (bids, budgets, targeting, ad copy)
  • Any website or landing page changes, deployments, or outages?
  • Any external events? (holiday, news event, competitor activity)
  • Any Google Ads policy updates or ad disapprovals?

3. What data do you have?

  • Date range of the anomaly
  • Can you access search term reports, auction insights, change history?
  • Is conversion tracking confirmed working?

The Diagnosis Hierarchy

Before chasing complex explanations, go through this order. Most issues are simpler than they seem.

1. Is tracking broken?         → Check conversion tag, GA4, and landing page
2. Did we make a change?       → Check Change History
3. Is it seasonal or external? → Compare YoY, check search volume trends
4. Is it a competitive shift?  → Check Auction Insights
5. Is it a structural issue?   → Narrow down to campaign/ad group/keyword

Never skip steps 1 and 2. The majority of "sudden performance drops" are either broken tracking or an account change that was made and forgotten.


Step 1 — Rule Out Tracking Issues

Before assuming performance actually changed, verify the measurement is intact.

Conversion tracking checks

In Google Ads: Tools → Conversions → check "Status" column

  • Status should be: "Recording conversions"
  • Red flags: "No recent conversions", "Unverified", "Tag inactive"

In Google Tag Assistant / Chrome extension:

  • Visit the landing page → fire a test conversion → verify tag fires

In GA4:

  • Realtime report → trigger a conversion → confirm it appears

Common tracking failure causes:

  • Landing page CMS update removed the conversion tag
  • Site migration (HTTP → HTTPS) broke tag firing
  • Tag Manager container updated and removed a trigger
  • Cross-domain tracking gap (user leaves your domain before converting)
  • iOS/browser privacy changes reduced measurement (not a sudden change but worth knowing)

If tracking is broken: Do not optimize the account. Fix the tracking first, verify it's working, then reassess performance with fresh data.


Step 2 — Check Change History

In Google Ads: Tools → Change History

Everything that was changed in the account is logged here. Filter by date to the period when performance shifted.

What to look for:

Change TypeHow it can cause anomalies
Budget increaseMore spend without proportional conversion lift → CPA rises
Budget decrease"Limited by budget" — losing high-value auction slots
Bid strategy switchLearning period triggers temporary performance instability
tCPA/tROAS target changeAggressive target reduces volume; loose target inflates spend
New keywords addedBroad match or newly added keywords triggering irrelevant queries
Negative keywords addedAccidentally blocked converting queries
Ad pause or disapprovalTop-performing ad stopped running
Landing page URL changeDestination changed → conversion drop if new page doesn't convert
Audience changeAdded exclusion that's too broad, or removed key remarketing list

Step 3 — Identify If It's Seasonal or External

Year-over-year comparison

Compare the same period last year. If performance dropped 30% the same week last year, it's seasonal — not a crisis.

In Google Ads: Segment → Compare → Custom Date Range → set to same period -52 weeks

Search volume check

Google Trends shows whether total search demand for your category changed:

A 20% drop in search volume naturally causes a 20% impression drop — you didn't break anything.

Industry events

  • B2B: End-of-quarter and major holidays see real drop-offs in decision-maker activity
  • E-commerce: Post-peak demand drops (post-Black Friday, post-Valentine's Day)
  • News events: Sudden news in your category (positive or negative) affects search behavior

Step 4 — Check Auction Insights

In Google Ads: Select campaigns → Auction Insights tab

Shows how your impression share, overlap rate, and top-of-page rate compare to competitors in the same auctions.

What to look for

SignalImplication
Your IS dropped, competitor IS roseNew or more aggressive competitor entered
Your overlap rate with new competitor increasedThey started bidding on your keywords
Your top-of-page rate fellYour Ad Rank declined vs competitors
Your IS lost to rank increasedCompetitors improving QS or bids pushed you down
Your IS lost to budget increasedBudget is the bottleneck, not competition

Competitive CPC spike is almost always visible in Auction Insights. If a competitor doubled their budget on your keywords, your CPCs rise because they're pushing the floor of the auction.


Step 5 — Narrow the Anomaly

Once you've ruled out tracking and external causes, identify the smallest unit where the problem lives.

Drilling down

Account level → anomaly confirmed
↓
Campaign level → which campaign(s)?
↓
Ad group level → which ad group(s)?
↓
Keyword level → which keyword(s)?
↓
Search term level → which queries changed?

Method: Sort by cost or impressions. Compare current period vs prior period. Use the "Segment → Compare dates" feature to see % change per row.

Quick isolation approach

Add both date ranges to a single view:

  1. Set primary date to current period (e.g., last 7 days)
  2. Set comparison to prior period (previous 7 days or same period last year)
  3. Sort by "Conversions: Change" descending → biggest drops appear first

Anomaly Playbooks by Metric

Sudden CTR Drop

Possible causes (in order of likelihood):

  1. Ad disapproval — top ad stopped serving; remaining ads have lower CTR
  2. Competitor added more/better extensions → pushed you down the SERP
  3. Irrelevant search terms now triggering the ad (if broad match) → low CTR queries diluting average
  4. New ad variant added with low CTR pulling down the average
  5. Seasonal intent shift — users searching for different things

Diagnosis steps:

  • Check Ads tab: any disapprovals?
  • Check Auction Insights: competitor IS increase?
  • Pull search terms: new irrelevant queries in the mix?
  • Segment by ad to see if a specific ad is dragging CTR down

Sudden CVR Drop

Possible causes:

  1. Landing page broken or slow — highest probability, check first
  2. Landing page changed — new design, new CTA, removed content
  3. Traffic quality shifted — different search terms now converting less
  4. Different audience — new geo, device, or audience mix in sessions
  5. Offer/price changed on the page without updating the ad promise

Diagnosis steps:

  • Verify landing page loads and converts with a manual test
  • Check page speed (PageSpeed Insights)
  • Check bounce rate in GA4 for the landing page (sudden spike = page problem)
  • Compare search terms current vs prior — has intent mix shifted?
  • Compare device/geo split — has composition changed? (mobile traffic surge → lower CVR)

CPA Spike

CPA spike = CVR drop, CPC increase, or both. Isolate which.

CPA = CPC / CVR

If CVR held and CPA rose → CPCs increased
If CPC held and CPA rose → CVR dropped
If both changed → compound problem

Work through CVR drop and CTR/CPC playbooks separately based on which component moved.

CPC spike specific causes:

  • New competitor in auction (Auction Insights)
  • Google's automated bid increase (if using Smart Bidding with tROAS — it spent more to get conversions it expected)
  • Budget cap lifted → campaign now entering more (competitive) auctions
  • Broad match expanding into more competitive queries

Impression Collapse

Possible causes:

  1. Campaign paused or budget exhausted
  2. Bid strategy target too aggressive → algorithm retreating to avoid over-CPA
  3. Keywords suspended ("Low search volume" status)
  4. Ad disapproval → no serving ad in ad group
  5. Targeting restriction added accidentally (negative keyword list applied broadly)
  6. Google search volume genuinely dropped (check Trends)
  7. Auction: competitors winning auction at lower CPL than your target

Diagnosis steps:

  • Check campaign status and budget
  • Check keyword status: any "Low search volume" or "Rarely shown" flags?
  • Check Ads tab for disapprovals
  • Review Change History for recent targeting/negative keyword changes
  • Check tCPA — is it set too tight for available inventory?

Spend Surge (Over Budget)

Possible causes:

  1. Budget was increased
  2. Smart Bidding found a sudden conversion opportunity spike (holiday, viral event)
  3. New broad match keywords triggering high-volume unintended queries
  4. Shared budget redistributed toward a campaign unexpectedly

Action:

  • Confirm it's real overspend vs Google's standard delivery smoothing (check daily vs monthly)
  • Reduce daily budget to correct remaining month pacing
  • Review search terms for broad match expansion issues
  • Check if a Smart Bidding tROAS target was recently loosened

Monitoring Setup: Catching Issues Before They Compound

Reactive diagnosis is costly. These systems catch problems earlier.

Google Ads Automated Rules

Rules → Create Rule

Useful rules to set up:

RuleTriggerAction
CPA alertCampaign CPA > 2× target (7-day window)Send email
Spend alertCampaign MTD spend > monthly targetSend email
Impression share dropSearch IS < 40% (was above 60%)Send email
Zero conversionsCampaign has 0 conv in 72 hours with >100 clicksSend email

Google Ads Scripts for Daily Monitoring

Scripts can run daily and email anomaly reports. See google-ads-scripts skill for implementation. Key monitoring scripts:

  • Daily spend vs budget pacing
  • Zero-conversion campaigns with active spend
  • Sudden CTR drops (>30% vs 7-day average)
  • CPA exceeding target threshold

GA4 Alerts

Set up GA4 Intelligence alerts for:

  • Conversion volume drop >30% vs prior period
  • Bounce rate spike on key landing pages
  • Session count drop (signals traffic delivery problem)

Daily and Weekly Monitoring Habits

What to check every morning (5 min)

  • Yesterday's spend vs expected daily budget
  • Yesterday's conversion count vs typical day
  • Any automated rule alerts in email?
  • Any ad disapproval notifications?

What to check every week (15 min)

  • 7-day CPA vs prior 7-day CPA — more than 20% change?
  • 7-day CTR vs prior 7-day — more than 15% change?
  • Impression share vs prior week — more than 10% drop?
  • Check Auction Insights — new competitors?
  • Any "Limited by budget" campaigns that weren't before?

When to investigate immediately

  • Spend 2× or 0.5× expected in a 24-hour period
  • Conversion count drops to 0 for 48+ hours with active spend
  • CPA exceeds 2× target for 3+ consecutive days
  • A campaign switches from active to "Learning" unexpectedly

Communicating Anomalies to Clients

When presenting a performance issue, use this structure:

  1. What changed: "CPA increased from $42 to $67 over the last 7 days."
  2. When it started: "The shift began [date], coinciding with [event/change]."
  3. Root cause: "Primary cause: [specific finding]. Secondary cause: [if applicable]."
  4. Financial impact: "Estimated additional spend on underperforming traffic: ~$[X]."
  5. Actions taken / to take: "We've [already done X]. Next step: [Y] by [date]."

Never present a performance problem without a cause and a next action. "We're investigating" without a plan erodes confidence.


Optimization Checklist

Set up once (new accounts)

  • Automated rules for CPA and spend anomalies
  • GA4 intelligence alerts on conversion volume
  • Monitoring script for zero-conversion campaigns

Weekly

  • Run through 5-point weekly check
  • Compare this week vs last week at campaign level
  • Check Auction Insights for new competitor movement

When a spike/drop is identified

  • Follow diagnosis hierarchy (tracking → change history → seasonal → competitive → structural)
  • Document finding and action in account notes or task log
  • Confirm resolution by monitoring for 48-72 hours after fix

Common Mistakes

Jumping to solutions before diagnosing Adding new keywords or changing bids before ruling out tracking issues. The most expensive optimization mistake is optimizing against broken data.

Comparing the wrong periods Comparing "this week" to "last week" when last week contained a holiday is noise, not signal. Always sanity-check the comparison period.

Treating Smart Bidding learning period as an anomaly Any bid strategy or target change triggers a 2-4 week learning period where performance fluctuates. This is expected — not an emergency.

Acting on a single bad day One day of poor CPA in a well-functioning campaign is usually statistical variance. Wait for 3+ days of consistent deviation before making structural changes.

Not checking conversion tracking first More than half of "sudden performance drops" reported by clients are actually tracking failures. Always check it first.


Related Skills

  • google-ads-budget-management: Budget anomalies — overspend and underspend detection and correction
  • google-ads-quality-score: Gradual QS decline can cause slow-building CPC increases that look like anomalies
  • google-ads-negative-keywords: Sudden CTR drops often trace back to irrelevant queries from recent match type expansion
  • google-ads-conversion-tracking: Tracking setup and verification — step zero before any anomaly diagnosis
  • google-ads-scripts: Automating daily monitoring and alerting for anomalies

平台分布

Codex

38.84%
按下载量换算128

Claude

30.27%
按下载量换算100

Cursor

18.64%
按下载量换算62

Gemini CLI

9.87%
按下载量换算33

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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