# eyeson

> eyeson — grzetich-eyeson. Use this tool when you need to analyze and improve user experience (UX) by identifying accessibility issues and detecting AI design anti-patterns. It captures multi-viewport screenshots and generates ready-to-implement code fixes, streamlining the development process. The eyeson platform is accessible via a web dashboard, CLI tool, or natural language interface, making it easy to integrate into existing workflows.

Canonical page: https://skillsregistry.net/skills/grzetich-eyeson  
JSON: https://api.skillsregistry.net/v1/skills/grzetich-eyeson

## Description

Comprehensive UX analysis platform powered by Google Gemini AI. Captures multi-viewport screenshots, identifies accessibility issues, detects AI design   anti-patterns, and generates ready-to-implement code fixes. Available as web dashboard, CLI tool, and natural language interface via MCP.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/grzetich/eyeson)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "grzetich-eyeson"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/grzetich-eyeson` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/grzetich-eyeson/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt