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💼 ビジネス コミュニティ 🟡 少し慣れが必要 👤 経営者・事業責任者・マーケ

💼 Googleads Automation

googleads-automation

Google広告の分析業務を自動化し、広告

⏱ 提案書ドラフト 2日 → 半日

📺 まず動画で見る(YouTube)

▶ 【自動化】AIガチ勢の最新活用術6選がこれ1本で丸分かり!【ClaudeCode・AIエージェント・AI経営・Skills・MCP】 ↗

※ jpskill.com 編集部が参考用に選んだ動画です。動画の内容と Skill の挙動は厳密には一致しないことがあります。

📜 元の英語説明(参考)

Automate Google Ads analytics tasks via Rube MCP (Composio): list Google Ads links, run GA4 reports, check compatibility, list properties and accounts. Always search tools first for current schemas.

🇯🇵 日本人クリエイター向け解説

一言でいうと

Google広告の分析業務を自動化し、広告

※ jpskill.com 編集部が日本のビジネス現場向けに補足した解説です。Skill本体の挙動とは独立した参考情報です。

⚡ おすすめ: コマンド1行でインストール(60秒)

下記のコマンドをコピーしてターミナル(Mac/Linux)または PowerShell(Windows)に貼り付けてください。 ダウンロード → 解凍 → 配置まで全自動。

🍎 Mac / 🐧 Linux
mkdir -p ~/.claude/skills && cd ~/.claude/skills && curl -L -o googleads-automation.zip https://jpskill.com/download/1694.zip && unzip -o googleads-automation.zip && rm googleads-automation.zip
🪟 Windows (PowerShell)
$d = "$env:USERPROFILE\.claude\skills"; ni -Force -ItemType Directory $d | Out-Null; iwr https://jpskill.com/download/1694.zip -OutFile "$d\googleads-automation.zip"; Expand-Archive "$d\googleads-automation.zip" -DestinationPath $d -Force; ri "$d\googleads-automation.zip"

完了後、Claude Code を再起動 → 普通に「動画プロンプト作って」のように話しかけるだけで自動発動します。

💾 手動でダウンロードしたい(コマンドが難しい人向け)
  1. 1. 下の青いボタンを押して googleads-automation.zip をダウンロード
  2. 2. ZIPファイルをダブルクリックで解凍 → googleads-automation フォルダができる
  3. 3. そのフォルダを C:\Users\あなたの名前\.claude\skills\(Win)または ~/.claude/skills/(Mac)へ移動
  4. 4. Claude Code を再起動

⚠️ ダウンロード・利用は自己責任でお願いします。当サイトは内容・動作・安全性について責任を負いません。

🎯 このSkillでできること

下記の説明文を読むと、このSkillがあなたに何をしてくれるかが分かります。Claudeにこの分野の依頼をすると、自動で発動します。

📦 インストール方法 (3ステップ)

  1. 1. 上の「ダウンロード」ボタンを押して .skill ファイルを取得
  2. 2. ファイル名の拡張子を .skill から .zip に変えて展開(macは自動展開可)
  3. 3. 展開してできたフォルダを、ホームフォルダの .claude/skills/ に置く
    • · macOS / Linux: ~/.claude/skills/
    • · Windows: %USERPROFILE%\.claude\skills\

Claude Code を再起動すれば完了。「このSkillを使って…」と話しかけなくても、関連する依頼で自動的に呼び出されます。

詳しい使い方ガイドを見る →
最終更新
2026-05-17
取得日時
2026-05-17
同梱ファイル
1

💬 こう話しかけるだけ — サンプルプロンプト

  • Googleads Automation で、私のビジネスを分析して改善案を3つ提案して
  • Googleads Automation を使って、来週の会議用の資料を作って
  • Googleads Automation で、現状の課題を整理してアクションプランに落として

これをClaude Code に貼るだけで、このSkillが自動発動します。

📖 Claude が読む原文 SKILL.md(中身を展開)

この本文は AI(Claude)が読むための原文(英語または中国語)です。日本語訳は順次追加中。

Google Ads Automation via Rube MCP

Access Google Ads data through Google Analytics integration, run performance reports, list linked Ads accounts, and analyze campaign metrics using Rube MCP (Composio).

Toolkit docs: composio.dev/toolkits/googleads

Prerequisites

  • Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
  • Active connection via RUBE_MANAGE_CONNECTIONS with toolkit google_analytics
  • Always call RUBE_SEARCH_TOOLS first to get current tool schemas

Setup

Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.

  1. Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
  2. Call RUBE_MANAGE_CONNECTIONS with toolkit google_analytics
  3. If connection is not ACTIVE, follow the returned auth link to complete setup
  4. Confirm connection status shows ACTIVE before running any workflows

Note: Google Ads data is accessed through the Google Analytics toolkit integration. The tools below use GA4 properties linked to Google Ads accounts.

Core Workflows

1. List Google Ads Links for a Property

Use GOOGLE_ANALYTICS_ANALYTICS_ADMIN_PROPERTIES_GOOGLE_ADS to retrieve all Google Ads account links configured for a GA4 property.

Tool: GOOGLE_ANALYTICS_ANALYTICS_ADMIN_PROPERTIES_GOOGLE_ADS
Parameters:
  - parent (required): Property resource name (format: "properties/{propertyId}")
  - pageSize: Max results (1-200, default 50)
  - pageToken: Pagination token

2. Run a GA4 Performance Report

Use GOOGLE_ANALYTICS_RUN_REPORT to run customized reports with dimensions, metrics, date ranges, and filters.

Tool: GOOGLE_ANALYTICS_RUN_REPORT
Parameters:
  - property (required): Property resource (format: "properties/{property_id}")
  - dimensions: Array of dimension objects (e.g., [{"name": "sessionCampaignName"}, {"name": "date"}])
  - metrics: Array of metric objects (e.g., [{"name": "sessions"}, {"name": "totalRevenue"}])
  - dateRanges: Array with startDate and endDate (e.g., [{"startDate": "2025-01-01", "endDate": "2025-01-31"}])
  - dimensionFilter: Filter by dimension values
  - metricFilter: Filter by metric values (applied after aggregation)
  - orderBys: Sort results
  - limit: Max rows to return (1-250000)

3. Check Dimension/Metric Compatibility

Use GOOGLE_ANALYTICS_CHECK_COMPATIBILITY to validate dimension and metric combinations before running a report.

Tool: GOOGLE_ANALYTICS_CHECK_COMPATIBILITY
Description: Validates compatibility of chosen dimensions or metrics
  before running a report.
Note: Call RUBE_SEARCH_TOOLS to get the full schema for this tool.

4. List GA4 Accounts

Use GOOGLE_ANALYTICS_LIST_ACCOUNTS to enumerate all accessible Google Analytics accounts.

Tool: GOOGLE_ANALYTICS_LIST_ACCOUNTS
Parameters:
  - pageSize: Max accounts to return
  - pageToken: Pagination token
  - showDeleted: Include soft-deleted accounts

5. List GA4 Properties Under an Account

Use GOOGLE_ANALYTICS_LIST_PROPERTIES to list properties for a specific GA4 account.

Tool: GOOGLE_ANALYTICS_LIST_PROPERTIES
Parameters:
  - account (required): Account resource name (format: "accounts/{account_id}")
  - pageSize: Max properties (1-200)
  - pageToken: Pagination token
  - showDeleted: Include trashed properties

6. Get Available Dimensions and Metrics

Use GOOGLE_ANALYTICS_GET_METADATA to discover all available fields for building reports.

Tool: GOOGLE_ANALYTICS_GET_METADATA
Description: Gets metadata for dimensions, metrics, and comparisons
  for a GA4 property.
Note: Call RUBE_SEARCH_TOOLS to get the full schema for this tool.

Common Patterns

  • Discover then report: Use GOOGLE_ANALYTICS_LIST_ACCOUNTS to find account IDs, then GOOGLE_ANALYTICS_LIST_PROPERTIES to find property IDs, then GOOGLE_ANALYTICS_RUN_REPORT to pull data.
  • Validate before querying: Use GOOGLE_ANALYTICS_CHECK_COMPATIBILITY to validate dimension/metric combinations before running reports to avoid 400 errors.
  • Campaign performance: Run reports with dimensions like sessionCampaignName, sessionSource, sessionMedium and metrics like sessions, activeUsers, totalRevenue.
  • Ads link discovery: Use GOOGLE_ANALYTICS_ANALYTICS_ADMIN_PROPERTIES_GOOGLE_ADS to find which Google Ads accounts are linked to each GA4 property.
  • Field discovery: Use GOOGLE_ANALYTICS_GET_METADATA to list all available dimensions and metrics before constructing complex reports.

Known Pitfalls

  • Dimension/metric compatibility: The GA4 API has strict compatibility rules. Not all dimensions can be combined with all metrics. Demographic dimensions (e.g., userAgeBracket, userGender) are often incompatible with session-scoped dimensions/filters (e.g., sessionCampaignName, sessionSource).
  • dateRange is NOT a dimension: Do not include dateRange in the dimensions array. Use date, dateHour, year, month, or week instead.
  • exits is NOT valid: Neither exits as a dimension nor as a metric is valid in GA4.
  • Property ID format: Must be properties/{numeric_id} (e.g., properties/123456789). Do not use Google Account IDs (long OAuth IDs).
  • Account ID format: Must be accounts/{numeric_id} where the numeric ID is 6-10 digits.
  • Filter separation: Use dimensionFilter only for dimension fields and metricFilter only for metric fields. Mixing them will cause errors.
  • Max 9 dimensions and 10 metrics per report request.

Quick Reference

Action Tool Key Parameters
List Ads links GOOGLE_ANALYTICS_ANALYTICS_ADMIN_PROPERTIES_GOOGLE_ADS parent
Run report GOOGLE_ANALYTICS_RUN_REPORT property, dimensions, metrics, dateRanges
Check compatibility GOOGLE_ANALYTICS_CHECK_COMPATIBILITY (see full schema via RUBE_SEARCH_TOOLS)
List accounts GOOGLE_ANALYTICS_LIST_ACCOUNTS pageSize
List properties GOOGLE_ANALYTICS_LIST_PROPERTIES account, pageSize
Get metadata GOOGLE_ANALYTICS_GET_METADATA (see full schema via RUBE_SEARCH_TOOLS)

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