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fullscreen-image-viewer

Automate fullscreen image viewing and sequential navigation in web galleries.

2|Updated May 16, 2026
Search Tags:#browser-automation#adaptive-learning#fullscreen-images#gallery-navigation#image-rating
One-click install
npx skills add https://github.com/atomeam/Aether --skill fullscreen-image-viewer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fullscreen-image-viewer
Source: https://github.com/atomeam/Aether/tree/main/.devin/skills/fullscreen-image-viewer
Command: npx skills add https://github.com/atomeam/Aether --skill fullscreen-image-viewer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Manually viewing large web image galleries in fullscreen at maximum resolution, navigating between images, and rating or favoriting content is tedious and time-consuming, especially for galleries with dozens of images.

Core Features & Use Cases

  • Automated Fullscreen Navigation: Opens gallery images in fullscreen mode at maximum resolution and navigates sequentially between them using keyboard shortcuts or on-screen buttons.
  • Adaptive Learning: Records successful interaction patterns (selectors, timing, navigation methods) to improve performance over time across different gallery layouts.
  • Bulk Rating & Favoriting: Automatically applies like or favorite actions to images based on predefined criteria. Use case: Content moderators can use this skill to quickly review large batches of user-uploaded images, or photo enthusiasts can browse extensive gallery collections without manual clicking.

Quick Start

Use the fullscreen-image-viewer skill to automatically open all images in the provided gallery URL in fullscreen mode, navigate through them one by one, and mark your preferred ones as favorites.

Frequently Asked Questions about fullscreen-image-viewer

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

FAQPage Schema
How do I automate fullscreen image viewing for web galleries?▼

Automating fullscreen image viewing uses adaptive selector learning to open gallery images at maximum resolution and navigate sequentially. This eliminates manual clicking by recording successful interaction patterns to optimize navigation across different gallery layouts.

Can I automatically rate or favorite images while navigating a photo gallery?▼

Automatically rating or favoriting images is supported during sequential gallery navigation. The skill applies predefined criteria to execute bulk like or favorite actions, which is useful for content moderation or reviewing large batches of user-uploaded photos.

What is adaptive selector learning for browser automation?▼

Adaptive selector learning records successful interaction patterns, including selectors, timing, and navigation methods. This mechanism improves automation performance over time by adapting to various standard web gallery layouts without requiring manual selector updates.

Does this browser automation work with any web-based image gallery layout?▼

This browser automation applies to sites with standard gallery structures. It uses adaptive learning to handle different layouts by recording successful interaction patterns, though highly customized or non-standard gallery frameworks may require additional pattern recording.

What is the best way to view large image galleries at maximum resolution?▼

The best way to view large image galleries at maximum resolution is using automated fullscreen navigation. This approach opens images sequentially using keyboard shortcuts or on-screen buttons, replacing tedious manual interaction for extensive photo collections.

Are there limitations when automating content moderation for bulk image review?▼

Limitations for bulk image review include dependency on standard gallery structures and predefined rating criteria. Sites with dynamic loading or complex navigation may require adaptive learning iterations to achieve reliable sequential navigation and automated favoriting.

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