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desktop-resolution-profile

Analyze desktop resolution and Chrome zoom effects on MAI-UI-8B grounder accuracy.

1|Updated Mar 5, 2026
Search Tags:#screen size optimization#MAI-UI-8B#grounder accuracy#resolution settings#browser zoom#region cropping
One-click install
npx skills add https://github.com/MCERQUA/jam-skills --skill desktop-resolution-profile
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: desktop-resolution-profile
Source: https://github.com/MCERQUA/jam-skills/tree/main/desktop-resolution-profile
Command: npx skills add https://github.com/MCERQUA/jam-skills --skill desktop-resolution-profile

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps users understand the impact of desktop resolution, downscale, and Chrome zoom settings on MAI-UI-8B grounder accuracy and context, enabling them to optimize viewer browser size and settings for better performance.

Core Features & Use Cases

  • Resolution Analysis: Explain the relationship between native desktop resolution, ground-space tag, and MAI-UI-8B accuracy.
  • Downscale Tradeoff: Provide a table detailing downscale factors and their effects on the grounder.
  • Zoom Impact: Discuss how browser zoom affects DOM element render size and screenshot appearance.
  • Browser Window Size: Offer guidance on optimal browser window sizes for different scenarios.
  • Per-Call Override: Describe how agents can override the auto-tag per-request for precision.
  • Screen Introspection: Explain how to use the /api/screen_info endpoint for calibration.
  • Tuning Playbook: Provide a guide for adjusting settings based on user's browser window size.
  • Region Crop: Explain how to use region cropping for higher accuracy in specific areas.
  • Debugging Mismatched Clicks: Offer steps to debug issues with ovui_find_and_click.

Quick Start

Analyze the impact of your current desktop resolution and zoom settings on MAI-UI-8B accuracy with the desktop-resolution-profile skill.

Frequently Asked Questions about desktop-resolution-profile

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

FAQPage Schema
How does browser zoom affect MAI-UI-8B grounder accuracy?▼

Browser zoom affects MAI-UI-8B grounder accuracy by altering DOM element render size and screenshot appearance, which directly shifts screen-space context. Adjusting Chrome zoom settings is required to maintain accurate visual grounding.

What is the relationship between desktop resolution and the MAI-UI-8B ground-space tag?▼

The native desktop resolution determines the ground-space tag, which scales the coordinate mapping for MAI-UI-8B. Matching the resolution_tag to the viewer browser size ensures the grounder accurately interprets screen coordinates.

How do I debug mismatched clicks when using ovui_find_and_click?▼

Debug mismatched clicks in ovui_find_and_click by verifying desktop resolution, downscale factors, and Chrome zoom settings. Use the /api/screen_info endpoint for calibration to ensure the ground-space tag matches the actual viewer browser size.

Can I override the auto resolution_tag for specific MAI-UI-8B grounding requests?▼

Yes, agents can perform a per-call override of the auto-tag to specify a precise resolution_tag for individual MAI-UI-8B requests. This allows fine-tuning grounder accuracy when the default screen introspection settings do not match the target context.

When should I use region cropping for higher MAI-UI-8B accuracy?▼

Use region cropping to achieve higher MAI-UI-8B accuracy in specific areas by isolating the target DOM element from surrounding screen-space noise. This technique narrows the visual context, helping the grounder pinpoint coordinates within complex browser windows.

What are the downscale factor tradeoffs for MAI-UI-8B grounder performance?▼

Downscale factors trade image resolution for processing speed in MAI-UI-8B grounder performance. Higher downscale reduces screenshot detail and context, while lower downscale preserves visual accuracy but requires more computational overhead for grounding.

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