# genpark-visual-grounding-spec-comparison-skill

> genpark-visual-grounding-spec-comparison-skill — alpha-park-genpark-visual-grounding-spec-comparison-skill. Use this tool when you need to compare specifications and visually ground physical dimensions and degrees of freedom (DoF) in a multimodal environment. It solves problems related to calculating and analyzing physical properties and freedom of movement in various objects or systems. The tool accepts specification inputs and outputs calculated dimensions and DoF, making it ideal for applications requiring precise physical measurements and comparisons.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-visual-grounding-spec-comparison-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-visual-grounding-spec-comparison-skill

## Description

Multimodal visual spec grounding engine calculating physical dimensions and DoF

## 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/Alpha-Park/genpark-visual-grounding-spec-comparison-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": "alpha-park-genpark-visual-grounding-spec-comparison-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-visual-grounding-spec-comparison-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-visual-grounding-spec-comparison-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