gemini-lens

Analyze game screenshots and assets with Gemini Vision for visual QA feedback.

Updated Mar 3, 2026
One-click install
npx skills add https://github.com/donghyun-bagelcode/2026-ai-jam --skill gemini-lens
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gemini-lens
Source: https://github.com/donghyun-bagelcode/2026-ai-jam/tree/main/.gemini/skills/gemini-lens
Command: npx skills add https://github.com/donghyun-bagelcode/2026-ai-jam --skill gemini-lens

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Gemini Lens analyzes game visuals using native Gemini vision to provide structured feedback on screenshots, assets, and UI, enabling quick visual QA and debugging.

Core Features & Use Cases

  • Asset quality review for game visuals and assets
  • UI/layout inspection and visual debugging
  • Gameplay capture analysis for consistency and QA

Quick Start

Provide a game screenshot or asset for Gemini Lens to analyze and return a structured visual critique.

Frequently Asked Questions about gemini-lens

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform visual QA on game screenshots and UI layouts?

Visual QA on game screenshots uses Gemini Vision to analyze game visuals, assets, and UI layouts to identify quality issues, inconsistencies, and improvement opportunities. You provide a game screenshot or asset to receive a structured visual critique.

Can I use Gemini Vision to debug gameplay capture and asset quality issues?

Yes, Gemini Vision enables visual debugging by analyzing gameplay captures and game assets to detect visual inconsistencies. It returns mode-detected analysis with actionable recommendations for asset verification and gameplay review.

Does Gemini Lens work with gemini-cli and antigravity for screenshot analysis?

Screenshot analysis with Gemini Lens ensures compatibility with gemini-cli and antigravity environments. It applies native Gemini vision to process game screenshots and return structured feedback for visual debugging tasks.

What is the best way to automate UI review and asset verification for game graphics?

Automating UI review and asset verification for game graphics involves applying native Gemini vision to analyze screenshots and assets. This approach provides structured feedback on visual quality issues and improvement opportunities.

Are there limitations when using Gemini Vision for visual analysis of game assets?

Visual analysis of game assets with Gemini Vision requires providing screenshots, UI layouts, or assets directly for critique. It focuses on identifying quality issues and inconsistencies but does not modify the original game graphics.

When do I need structured visual feedback for game asset quality review?

Structured visual feedback for game asset quality review is needed when performing visual debugging and QA on gameplay captures. It helps identify visual inconsistencies and improvement opportunities across asset verification and gameplay review.