Provides instructions for implementing, integrating, or configuring Google Mobile Ads (GMA) SDK rewarded ads in Android, iOS, or Unity mobile applications. Use when the task involves setting up rewarded ads. Don't use for "rewarded interstitial" ads.
Scanned 9/2/2026
Install to Claude Code
npx -y skills add nuroctane/nur-cli --skill google-mobile-ads-rewarded --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Google Mobile Ads Rewarded?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/nuroctane-google-mobile-ads-rewarded)More formats (shields.io, HTML) on the badges page.
---
name: google-mobile-ads-rewarded
description: >-
Provides instructions for implementing, integrating, or configuring Google
Mobile Ads (GMA) SDK rewarded ads in Android, iOS, or Unity mobile
applications. Use when the task involves setting up rewarded ads. Don't use
for "rewarded interstitial" ads.
metadata:
version: 1.1.0
category: GoogleAds
---
# Google Mobile Ads SDK - Rewarded Ads
Rewarded ads reward users with in-app items for interacting with full-screen
ads. Rewarded ads are served after a user explicitly opts in to view a rewarded
ad.
## Workflow
1. **Determine the user's platform**: Identify if the project is Android,
iOS, or Unity. If unclear, ask before proceeding.
2. **Read the platform guide** for implementation details:
- Android: `references/android-rewarded.md`
- iOS: `references/ios-rewarded.md`
- Unity: `references/unity-rewarded.md`
3. **Follow these steps in order**:
- [ ] Load the ad
- [ ] Register for ad event callbacks
- [ ] Add a UI element to view the ad for a reward
- [ ] Show the ad
- [ ] Verify the implementationIs this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.