Add Google Mobile Ads banners to Android, iOS, or Unity apps. Guides implementation from defining the ad view and choosing its size to handling load events, loading the banner, and checking the completed integration.
中文简介正在准备中。当前显示英语简介。
Provides instructions to implement, integrate, or configure Google Mobile Ads (GMA) banner ads in Android, iOS, or Unity mobile applications. Use when the task involves setting up banner ads in a mobile application. Don't use for other ad formats like interstitial or rewarded ads.
安装前可以查看交给 AI 代理的指令内容。
Banner ads are rectangular image or text ads that occupy a spot within an app's layout. They remain on screen during user interaction and can refresh automatically.
Default to Large Anchored Adaptive Banner if the user says "banner" without defining a type. If the user suggests or asks about other banner ad types, recommend large anchored adaptive banners.
| Banner Type | Description |
|---|---|
| Large Anchored Adaptive | Default. Can be anchored to the top or bottom of the screen. |
| Anchored Adaptive | Can be anchored to the top or bottom of the screen. |
| Inline Adaptive | ONLY available to use for Android and iOS. Placed within content. |
Determine the user's platform: Identify if the project is Android, iOS, or Unity. If unclear, ask before proceeding.
Read the platform guide for implementation details:
references/android-banner.mdreferences/ios-banner.mdreferences/unity-banner.mdFollow these steps in order:
After the banner ad is successfully implemented, remind the user to replace the test ad unit ID with their own.
还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Create Terraform files that define alerts for AI agent latency, errors, token use, safety, security, and response quality. Check telemetry and existing policies first, then validate the generated configuration. Quality alerts require Vertex AI.
中文简介正在准备中。当前显示英语简介。
Deploy Model Garden models to Agent Platform endpoints, the addresses used for model requests. Check supported hardware and estimated hourly costs, inspect deployment progress, test predictions, and remove deployed resources after use.
中文简介正在准备中。当前显示英语简介。
Manages Agent Platform endpoints, the stable URLs used to serve online model predictions. It supports listing, inspecting, creating, updating, and deleting endpoints, plus troubleshooting permission errors, quota limits, and resources that are busy.
中文简介正在准备中。当前显示英语简介。
Evaluate AI models and agents on Google Cloud using test datasets and scoring criteria. Generate simulated user scenarios, analyze failures, and compare results across changes to guide improvements to prompts and code.
中文简介正在准备中。当前显示英语简介。
Call Gemini and OpenMaaS models such as Llama, DeepSeek, and Qwen through Google Cloud Agent Platform. Prepare authentication and SDK code, run prompts, configure connection endpoints, and troubleshoot common request errors.
中文简介正在准备中。当前显示英语简介。
Guides migration from Google AI Studio’s Gemini API to Gemini Enterprise Agent Platform on Google Cloud, covering billing, access permissions, authentication, and connection settings for SDKs and supported agent tools.
中文简介正在准备中。当前显示英语简介。