# genpark-browser-computer-use-element-anchor-skill

> genpark-browser-computer-use-element-anchor-skill — alphaparkinc-genpark-browser-computer-use-element-anchor-skill. Use this tool when you need to accurately anchor DOM elements for automated computer interactions, solving issues with click drift and ensuring resilient element identification. It takes visual input and outputs a stable anchor for reliable element interaction. Ideal for automating browser interactions, such as clicking buttons or filling forms, in a variety of contexts, including web scraping and UI testing.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-browser-computer-use-element-anchor-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-browser-computer-use-element-anchor-skill

## Description

Vision-to-DOM element anchor resilient against click drift (Genpark Claw / Computer Use)

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-browser-computer-use-element-anchor-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-browser-computer-use-element-anchor-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-browser-computer-use-element-anchor-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-browser-computer-use-element-anchor-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
