A comprehensive integration allowing AI agents to manage Google Ads campaigns, accounts, and reporting via a simplified CLI interface.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install integrate-google-ads
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install integrate-google-ads using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Google Ads?
The Google Ads integration for Openclaw Skills provides a robust framework for AI agents to interact directly with the Google Ads ecosystem. This skill abstracts the complexities of the Google Ads API, allowing developers to manage campaigns, ad groups, keywords, and budgets through high-level actions. By utilizing the Membrane CLI, it handles the intricate details of OAuth authentication and credential refreshing, ensuring that your Openclaw Skills remain functional and secure without manual token management.
Whether you are building a tool for automated bid adjustments or a dashboard for real-time reporting, this skill serves as the bridge between your AI logic and Google's advertising infrastructure. It empowers agents to perform deep data analysis using Google Ads Query Language (GAQL) and execute marketing strategies with precision, all within the streamlined environment of Openclaw Skills.
Google Ads Use Cases
- Automating the creation and configuration of responsive search ads for new product launches.
- Using Openclaw Skills to monitor campaign performance and automatically adjust daily budgets.
- Generating and exporting custom performance reports using complex GAQL queries.
- Synchronizing offline conversion data from CRM systems directly into Google Ads accounts.
- Scaling keyword management by programmatically adding or removing targets based on search trends.
How Google Ads Works
- The AI agent initializes the environment using Openclaw Skills and authenticates via the Membrane CLI.
- A persistent connection is established to the Google Ads API, which manages the lifecycle of access tokens.
- The agent utilizes intent-based searching to identify the most relevant advertising actions for a specific task.
- Parameters for campaigns, ads, or queries are passed through the CLI to the Google Ads backend.
- The skill processes the response and returns structured JSON data back to the agent for further decision-making.
Google Ads Setup
- Install the necessary CLI components to manage your Openclaw Skills:
npm install -g @membranehq/cli@latest
- Authenticate the agent with the following command:
membrane login --tenant --clientName=openclaw
- Establish a connection to the Google Ads service:
membrane connection ensure "https://ads.google.com/" --json
- If the connection is building, poll for the ready state:
npx @membranehq/cli connection get <id> --wait --json
Google Ads Data Schema & Taxonomy
The Google Ads skill for Openclaw Skills organizes data into standard advertising entities. The schema ensures consistency across different account types and campaign structures.
| Entity | Description | Key Attributes |
|---|---|---|
| Campaign | The top-level container for ads | ID, Status, Advertising Channel, Budget |
| Ad Group | Sub-container for keywords and ads | ID, Campaign ID, Status, Type |
| Keyword | Targeting criteria for search ads | ID, Text, Match Type, Status |
| Conversion Action | Tracking mechanism for user events | ID, Name, Category, Status |
| GAQL Result | Output from custom search queries | Dynamic fields based on the query string |
Google Ads Advanced Features
- Direct Proxy Requests: Use Openclaw Skills to send raw HTTP requests to any Google Ads API endpoint with automatic header injection.
- GAQL Integration: Execute sophisticated SQL-like queries to retrieve granular data across multiple resources simultaneously.
- Headless Authentication: Support for authorizing connections in environments without a browser by using unique auth codes.
- Intent-Based Action Discovery: Dynamically find the correct API actions by describing the desired outcome in natural language.
- Multi-Agent Optimization: Tailor the skill performance for specific agent types like Claude or Openclaw for better token efficiency.
SKILL.md
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