# genpark-frontend-component-accessibility-checker-skill

> genpark-frontend-component-accessibility-checker-skill — alphaparkinc-genpark-frontend-component-accessibility-checker-skill. Use this tool when you need to audit web frontend UI components for accessibility compliance with WCAG standards, solving problems related to inclusivity and usability for users with disabilities. It takes in web frontend UI components as input and outputs a report highlighting accessibility issues and suggesting improvements. Ideal for use in development workflows, such as git-based projects, to ensure accessible and inclusive user interfaces.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-frontend-component-accessibility-checker-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-frontend-component-accessibility-checker-skill

## Description

Web frontend UI accessibility WCAG compliance auditor

## 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-frontend-component-accessibility-checker-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-frontend-component-accessibility-checker-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-frontend-component-accessibility-checker-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-frontend-component-accessibility-checker-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