Token导航 LogoToken导航TokenDH.com
研究检索敏感数据github未标认证来源可访问clear审计未展示

google-adsGoogle Ads 搜索

Agent Skill

google-ads 用于处理浏览器自动化、网页检查和页面信息提取,适合在 Codex、Claude、Cursor、Gemini CLI 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。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。

总安装

948

周安装

38

GitHub Stars

177

下载量

307
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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(Google Ads 搜索)
来源仓库:https://github.com/moltbot/skills
仓库路径:skills/google-ads
安装命令:
npx skills add moltbot/skills --skill "google-ads"
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。

AgentSkills.tonpx skills
npx skills add moltbot/skills --skill "google-ads"

简介

查询、审核和优化 Google Ads 广告系列。支持两种模式:(1) 使用 google-ads Python SDK 进行批量操作的 API 模式,(2) 没有 API 访问权限的用户的浏览器自动化模式 - 只需将浏览器标签附加到 ads.google.com。当要求检查广告效果、暂停广告系列/关键字、查找浪费的支出、审核转化跟踪或优化 Google Ads 帐户时使用。

SKILL.md

name
google-ads
description
Query, audit, and optimize Google Ads campaigns. Supports two modes: (1) API mode for bulk operations with google-ads Python SDK, (2) Browser automation mode for users without API access - just attach a browser tab to ads.google.com. Use when asked to check ad performance, pause campaigns/keywords, find wasted spend, audit conversion tracking, or optimize Google Ads accounts.

Google Ads Skill

Manage Google Ads accounts via API or browser automation.

Mode Selection

Check which mode to use:

  1. API Mode - If user has google-ads.yaml configured or GOOGLE_ADS_* env vars
  2. Browser Mode - If user says "I don't have API access" or just wants quick checks
# Check for API config
ls ~/.google-ads.yaml 2>/dev/null || ls google-ads.yaml 2>/dev/null

If no config found, ask: "Do you have Google Ads API credentials, or should I use browser automation?"


Browser Automation Mode (Universal)

Requirements: User logged into ads.google.com in browser

Setup

  1. User opens ads.google.com and logs in
  2. User clicks Clawdbot Browser Relay toolbar icon (badge ON)
  3. Use browser tool with profile="chrome"

Common Workflows

Get Campaign Performance

1. Navigate to: ads.google.com/aw/campaigns
2. Set date range (top right date picker)
3. Snapshot the campaigns table
4. Parse: Campaign, Status, Budget, Cost, Conversions, Cost/Conv

Find Zero-Conversion Keywords (Wasted Spend)

1. Navigate to: ads.google.com/aw/keywords
2. Click "Add filter" → Conversions → Less than → 1
3. Click "Add filter" → Cost → Greater than → [threshold, e.g., $500]
4. Sort by Cost descending
5. Snapshot table for analysis

Pause Keywords/Campaigns

1. Navigate to keywords or campaigns view
2. Check boxes for items to pause
3. Click "Edit" dropdown → "Pause"
4. Confirm action

Download Reports

1. Navigate to desired view (campaigns, keywords, etc.)
2. Click "Download" icon (top right of table)
3. Select format (CSV recommended)
4. File downloads to user's Downloads folder

For detailed browser selectors: See references/browser-workflows.md


API Mode (Power Users)

Requirements: Google Ads API developer token + OAuth credentials

Setup Check

# Verify google-ads SDK
python -c "from google.ads.googleads.client import GoogleAdsClient; print('OK')"

# Check config
cat ~/.google-ads.yaml

Common Operations

Query Campaign Performance

from google.ads.googleads.client import GoogleAdsClient

client = GoogleAdsClient.load_from_storage()
ga_service = client.get_service("GoogleAdsService")

query = """
    SELECT campaign.name, campaign.status,
           metrics.cost_micros, metrics.conversions,
           metrics.cost_per_conversion
    FROM campaign
    WHERE segments.date DURING LAST_30_DAYS
    ORDER BY metrics.cost_micros DESC
"""

response = ga_service.search(customer_id=CUSTOMER_ID, query=query)

Find Zero-Conversion Keywords

query = """
    SELECT ad_group_criterion.keyword.text,
           campaign.name, metrics.cost_micros
    FROM keyword_view
    WHERE metrics.conversions = 0
      AND metrics.cost_micros > 500000000
      AND segments.date DURING LAST_90_DAYS
    ORDER BY metrics.cost_micros DESC
"""

Pause Keywords

operations = []
for keyword_id in keywords_to_pause:
    operation = client.get_type("AdGroupCriterionOperation")
    operation.update.resource_name = f"customers/{customer_id}/adGroupCriteria/{ad_group_id}~{keyword_id}"
    operation.update.status = client.enums.AdGroupCriterionStatusEnum.PAUSED
    operations.append(operation)

service.mutate_ad_group_criteria(customer_id=customer_id, operations=operations)

For full API reference: See references/api-setup.md


Audit Checklist

Quick health check for any Google Ads account:

CheckBrowser PathWhat to Look For
Zero-conv keywordsKeywords → Filter: Conv<1, Cost>$500Wasted spend
Empty ad groupsAd Groups → Filter: Ads=0No creative running
Policy violationsCampaigns → Status columnYellow warning icons
Optimization ScoreOverview page (top right)Below 70% = action needed
Conversion trackingTools → ConversionsInactive/no recent data

Output Formats

When reporting findings, use tables:

## Campaign Performance (Last 30 Days)
| Campaign | Cost | Conv | CPA | Status |
|----------|------|------|-----|--------|
| Branded  | $5K  | 50   | $100| ✅ Good |
| SDK Web  | $10K | 2    | $5K | ❌ Pause |

## Recommended Actions
1. **PAUSE**: SDK Web campaign ($5K CPA)
2. **INCREASE**: Branded budget (strong performer)

Troubleshooting

Browser Mode Issues

  • Can't see data: Check user is on correct account (top right account selector)
  • Slow loading: Google Ads UI is heavy; wait for tables to fully load
  • Session expired: User needs to re-login to ads.google.com

API Mode Issues

  • Authentication failed: Refresh OAuth token, check google-ads.yaml
  • Developer token rejected: Ensure token is approved (not test mode)
  • Customer ID error: Use 10-digit ID without dashes

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

openclaw

26.19%
按下载量换算80

Codex

24.95%
按下载量换算77

Claude Code

16.18%
按下载量换算50

Cursor

12.12%
按下载量换算37

OpenCode

7.3%
按下载量换算22

windsurf

3.77%
按下载量换算12

安全审计

暂无安全审计结果可展示。

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills