agentation-visual-feedback

Annotate UI elements and capture selectors, positions, and context as structured markdown.

2|1|Updated May 16, 2026
One-click install
npx skills add https://github.com/Aradotso/ai-agent-skills --skill agentation-visual-feedback
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agentation-visual-feedback
Source: https://github.com/Aradotso/ai-agent-skills/tree/main/skills/agentation-visual-feedback
Command: npx skills add https://github.com/Aradotso/ai-agent-skills --skill agentation-visual-feedback

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Agentation is a tool to capture precise UI element references for AI agents, enabling accurate feedback and reproducible behavior across web apps.

Core Features & Use Cases

  • Click-to-annotate UI elements to generate selectors, positions, and context.
  • Multi-select, text selection, and area-mode support for flexible annotations.
  • Produce structured markdown output that AI agents can consume for instruction and debugging.

Quick Start

Install Agentation in your project and start annotating UI elements to generate structured output.

Frequently Asked Questions about agentation-visual-feedback

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

FAQPage Schema
How do I capture UI selectors and positions for AI-assisted web debugging?

Yes, you can capture multiple UI elements simultaneously using multi-select and text selection features. The tool annotates multiple selected elements at once and outputs their combined selectors and context data in a structured markdown format for AI agents.

What is structured markdown output for UI annotations in AI development workflows?

The tool is designed for web and app UI debugging, design QA, and AI-assisted development workflows. It applies to any context requiring precise selectors, positions, and contextual data captured through click-to-annotate, text selection, and multi-select features.

Does this visual feedback tool require additional dependencies to capture UI element references?

No additional dependencies are required to capture UI element references. The tool operates independently with click-to-annotate functionality, multi-select, text selection, and structured markdown output, with optional script assets and references available if needed.

Can I select text and multiple elements at once for AI agent annotations?

Yes, you can capture multiple UI elements simultaneously using multi-select and text selection features. The tool annotates multiple selected elements at once and outputs their combined selectors and context data in a structured markdown format for AI agents.

What is structured markdown output for UI annotations in AI development workflows?

Structured markdown output for UI annotations is a formatted text representation of captured selectors, positions, and contextual data. It allows AI agents to accurately process UI references during web debugging, design QA, and AI-assisted development workflows.