# genpark-automated-user-experience-flow-tester-skill

> genpark-automated-user-experience-flow-tester-skill — alphaparkinc-genpark-automated-user-experience-flow-tester-skill. Use this tool when you need to automate testing of user experience flows and identify visual regression issues in your application. It simulates UX journeys, analyzes bottlenecks, and integrates with Git for seamless testing and iteration. Ideal for developers and QA teams looking to optimize user interface and experience, it takes in design files and code repositories as input and outputs test results and regression reports.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-automated-user-experience-flow-tester-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-automated-user-experience-flow-tester-skill

## Description

Automated UX journey simulator & visual regression bottleneck analyzer

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **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/alphaparkinc/genpark-automated-user-experience-flow-tester-skill)

## 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": "alphaparkinc-genpark-automated-user-experience-flow-tester-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-automated-user-experience-flow-tester-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-automated-user-experience-flow-tester-skill/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