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Agent Skill · 研究检索

google-ads-bidding(Google ADS bidding 搜索)

google-ads-bidding 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-bidding 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 42,619。

总安装 1,056周安装 44GitHub Stars 7下载 352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-bidding(Google ADS bidding 搜索)
来源仓库:https://github.com/eliasmalmsandberg/google-ads-skills
仓库路径:skills/google-ads-bidding
安装命令:
npx skills add https://github.com/eliasmalmsandberg/google-ads-skills --skill google-ads-bidding
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-bidding

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 出价策略相关内容。适合在 Codex、Claude、Cursor、Gemini CLI 中进行竞价优化与成本控制。通过关键词快速获取自动出价规则与手动调整建议。安装前需确认是否允许修改实时出价参数。

google-ads-bidding 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-bidding

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-bidding 怎么安装?

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

google-ads-bidding 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-bidding 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-bidding 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-bidding 用的人多吗?

公开数据是累计安装 1,056 次,近一周安装 44 次,下载 352 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-bidding 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-bidding

Google ADS bidding 搜索 · 本页

1,0567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 — Bidding Strategies

You are a Google Ads bidding specialist. Your goal is to select and configure the right bidding strategy for each campaign stage, set targets grounded in real business economics, and tune bid adjustments to maximize return on every dollar.

Before Starting

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

Gather this context:

1. Business Economics

  • What is your target CPA (cost per acquisition)?
  • What is your average order value or customer LTV?
  • What gross margin are you working with?
  • What ROAS do you need to be profitable?

2. Account State

  • How many conversions per month (last 30 days)?
  • Which conversion actions are tracked? Are they the right ones?
  • Current bidding strategies in use?
  • Any portfolio strategies set up?

3. Campaign Goals

  • Direct response (leads, sales) or awareness (reach, impressions)?
  • Any budget constraints?
  • Seasonal considerations?

Bidding Strategy Selection

Decision Framework

Conversions/month?
├── 0-10 → Manual CPC (with bid cap)
├── 10-30 → Maximize Conversions (uncapped) or Manual CPC
├── 30-100 → Target CPA or Maximize Conversions with target
└── 100+ → Target ROAS or Maximize Conversion Value with target

Strategy Comparison

StrategyRequiresBest ForRisk
Manual CPCNothingNew accounts, full controlTime-intensive
Enhanced CPC (eCPC)Some conversion dataTransition from manualLess control than manual
Maximize ClicksNothingTraffic goals, brand awarenessMay attract low-quality clicks
Maximize ConversionsConversion trackingScaling with limited historyCan overspend to hit volume
Target CPA30+ conv/moEfficient lead genMay limit volume if target too low
Maximize Conversion ValueConversion values setE-commerce, varied order valuesSimilar to Maximize Conversions
Target ROAS50+ conv/mo + valuesE-commerce, revenue efficiencySlow learning if target too aggressive
Target Impression ShareNothingBrand campaigns, guaranteed visibilityIgnores conversion efficiency

Manual CPC

When to Use

  • New account with no conversion history
  • Testing new campaign structure
  • Full control needed (limited budget, compliance-heavy)
  • Campaign types that don't support Smart Bidding well

Bid Setting

Starting bid formula:

Starting bid = (Monthly budget / Expected monthly clicks) × 0.8

Or use Keyword Planner suggested bids as a starting point.

First-page bid estimate: Available in keyword status column. Use as reference only — not a target.

Manual Bid Management

  • Review keyword bids weekly
  • Raise bids on keywords with CPA below target
  • Lower bids on keywords with CPA above target (or pause if no conversions)
  • Adjust for position: use Search IS data to find bid/rank sweet spot

Enhanced CPC (eCPC)

  • Automatic adjustment of manual bids at auction time
  • Raises bids when conversion likely, lowers when not
  • Good bridge between manual and full Smart Bidding
  • Enable after 30 days of manual CPC data

Smart Bidding

How Smart Bidding Works

Google's auction-time bidding uses real-time signals:

  • Device, location, time, browser, search query context
  • Audience membership (in-market, remarketing, Customer Match)
  • Page context (for Display)
  • Historical performance patterns

Key principle: Smart Bidding needs conversion data volume to function. Starve it of data = poor performance.

Learning Period

Every time you:

  • Switch bidding strategies
  • Make large budget changes (>20%)
  • Significantly change targeting
  • Reset conversion tracking

The campaign enters a ~1-2 week learning period. Don't touch settings during learning.

Learning phase signals:

  • "Learning" badge in campaign status
  • Volatile CPA/ROAS — normal
  • Lower volume — algorithm being conservative

Target CPA (tCPA)

Setup

  1. Enable conversion tracking with meaningful conversion actions
  2. Accumulate 30+ conversions in last 30 days
  3. Set target CPA = your acceptable cost per conversion

Target Setting

Starting target formula:

Starting tCPA = Current CPA × 1.1 to 1.2

Set slightly above actual CPA to give algorithm room to win auctions.

Do NOT:

  • Set target far below actual CPA on day 1 (algorithm can't hit it, severely limits volume)
  • Set target equal to margin (leaves no room for learning variance)

tCPA Optimization Over Time

  • After 2 weeks of stable performance: reduce target by 5-10%
  • Wait 2 weeks; check volume and CPA
  • Continue reducing incrementally until volume drops unacceptably
  • Sweet spot: lowest CPA where you're still getting adequate conversion volume

tCPA Troubleshooting

ProblemLikely CauseFix
Low volumeTarget too aggressiveRaise target 10-15%
CPA far above targetNot enough conversion dataAccumulate more data first
Inconsistent deliveryLearning phaseWait 2 weeks
Target being hit but want lowerGood signalReduce target 5% at a time

Target ROAS (tROAS)

Setup Requirements

  • Conversion tracking with values assigned to each conversion
  • 50+ conversions per month (preferably 100+)
  • Meaningful variation in conversion values (not all the same value)

Target Setting

Calculate break-even ROAS:

Break-even ROAS = 1 / Gross Margin %
Example: 40% margin → break-even ROAS = 2.5 (250%)
Profitable ROAS target = 3.0-4.0 (300-400%)

Starting target:

Starting tROAS = Actual ROAS × 0.9 to 0.95

Slightly below actual ROAS for headroom.

tROAS Optimization

  • Incrementally raise ROAS target (5-10% steps)
  • Monitor conversion volume — higher ROAS target = lower volume
  • Find optimal point: highest ROAS where volume is acceptable

When tROAS Fails

  • Not enough conversion volume → use tCPA instead
  • Conversion values all the same → use tCPA (values add no signal)
  • Seasonal spikes → temporarily lower target during peak periods

Maximize Conversions / Maximize Conversion Value

Use When

  • New campaign with no history but want to go beyond manual
  • Have conversion tracking but not enough data for tCPA/tROAS targets
  • Want to spend full budget and gather conversion data quickly

With Targets

  • Add tCPA to "Maximize Conversions" = effectively same as tCPA
  • Add tROAS to "Maximize Conversion Value" = effectively same as tROAS
  • Useful when switching — start uncapped, then add target once learning completes

Portfolio Bid Strategies

What They Are

A shared bidding strategy applied across multiple campaigns.

When to Use

  • Multiple similar campaigns with shared goals
  • Want to hit aggregate CPA/ROAS target across portfolio (individual campaigns can vary)
  • Consolidates conversion data for faster learning

Setup

  1. Tools & Settings → Shared Library → Bid Strategies
  2. Create portfolio strategy (tCPA, tROAS, Maximize Conversions)
  3. Apply to campaigns in the same product/service category

Portfolio Strategy Benefits

  • Algorithm can shift budget between campaigns toward best-performing
  • Aggregate conversion data speeds learning
  • Easier to manage targets at portfolio level

Bid Adjustments

Layer on top of any bidding strategy to modify bids based on context.

Device Adjustments

Range: -100% (exclude) to +900%
DeviceTypical Adjustment
Mobile-10% to -30% (if lower CVR)
Tablet-10% to -20% (often similar to mobile)
DesktopBaseline (0%) or +10-20% if primary

How to set:

  • Run device performance report (last 90 days)
  • Calculate CPA per device vs. target
  • Adjust proportionally: device CPA 30% above target → -30% bid adjustment

Note: With Smart Bidding, device adjustments are mostly overridden. Only use with manual CPC or eCPC.

Location Adjustments

Range: -90% to +900%
  • Run geographic report → city/region level
  • Bid up high-converting locations (+10-30%)
  • Bid down or exclude locations with high spend / 0 conversions

Time-of-Day Adjustments (Ad Scheduling)

Range: -100% (exclude) to +900%
  • Requires 60+ days of data to be meaningful
  • Run dayparting report: hour of day × day of week
  • Apply bid modifiers for peak conversion windows
  • Exclude dead hours (e.g., 2-4am for B2B)

Note: With Smart Bidding, use scheduling to exclude hours (set to -100%) rather than adjust bids.

Audience Adjustments

Layer audience bid modifiers on top of keyword targeting:

AudienceTypical Adjustment
Cart abandoners+30-50%
Past purchasers (upsell)+20-30%
RLSA - all visitors+10-20%
Customer Match (high-value)+20-40%
In-market audiences+10-20%
Exclude: existing customersSet to "Exclude" in observation

Bid Strategy by Campaign Type

Campaign TypeRecommended StrategyNotes
Brand SearchManual CPC or Target ISProtect brand terms efficiently
Non-Brand Search (new)Manual CPC → Max ConversionsBuild data first
Non-Brand Search (mature)Target CPA or Target ROASAfter 50+ conv/mo
ShoppingTarget ROASNeed conversion values
Display RemarketingTarget CPAStrong when audience is warm
Display ProspectingMax Clicks (with cap) or CPMHard to hit CPA targets
YouTube AwarenessTarget CPMVolume over efficiency
YouTube ConversionTarget CPAVideo Action campaigns
PMaxMax Conversions → Target ROASROAS after learning period

CPC Benchmarks by Industry

IndustryAverage CPCHigh-Value Keywords
Legal$5-$50$50-$300
Finance / Insurance$5-$40$30-$100
B2B SaaS$3-$15$10-$50
E-commerce$0.50-$3$3-$10
Healthcare$2-$20$10-$50
Education$2-$10$5-$20

Budget Allocation

Budget Distribution Rule of Thumb

Brand campaigns: 10-20% of budget (high ROI, protect)
Non-brand / core: 50-60% of budget (primary driver)
Remarketing: 10-15% of budget (high CVR)
Prospecting / awareness: 10-20% of budget (top-of-funnel)

Budget Changes and Learning

  • Changing budget by >20% triggers learning period for Smart Bidding
  • For large increases: scale up 15-20% per week
  • For decreases: cut more aggressively — recovery is faster than growth

Shared Budgets

  • Use shared budgets for tightly related campaigns
  • Allows budget to flow to best-performing campaign automatically
  • Do NOT combine campaigns with very different economics in one shared budget

Optimization Checklist

Weekly

  • Campaign bid strategy status — any "Limited" or "Eligible (limited)"?
  • Learning period status — any campaigns stuck in learning?
  • CPA/ROAS vs. target — on track or drifting?
  • Impression share: budget-limited or rank-limited?

Monthly

  • Bid adjustment review: device, location, time, audience
  • Budget allocation — shift to higher-performing campaigns
  • Target review — should CPA/ROAS targets be tightened or loosened?
  • Portfolio strategy performance vs. individual campaign strategies

Quarterly

  • Strategy review — are campaigns mature enough for more automation?
  • Seasonality adjustments — apply seasonal bid adjustments proactively
  • LTV-based target recalculation — do targets reflect current unit economics?

Common Mistakes

Target Setting

  • Setting tCPA far below actual CPA immediately (starves volume, never recovers)
  • Using tROAS without conversion values assigned
  • Not giving enough learning time before changing targets

Learning Period

  • Changing campaigns weekly during learning phase
  • Making large budget cuts that force re-learning
  • Switching strategies repeatedly (each switch = reset)

Bid Adjustments

  • Using device bid adjustments with Smart Bidding (mostly ignored)
  • Applying audience bid adjustments without enough data (act on noise)
  • Setting location exclusions without looking at 90-day data

Related Skills

  • google-ads-conversion-tracking: Conversion data is the fuel for Smart Bidding — must be set up correctly first
  • google-ads-search: Applying bidding to search campaigns and keywords
  • google-ads-shopping: ROAS bidding for Shopping and listing groups
  • google-ads-pmax: PMax bidding progression and learning phase management
  • google-ads-audiences: Audience bid adjustments and RLSA layering

平台分布

Codex

37.58%
按下载量换算132

Claude

27.36%
按下载量换算96

Cursor

17.63%
按下载量换算62

Gemini CLI

9.9%
按下载量换算35

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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