# genpark-dynamic-vision-patch-grounding-locator-skill

> genpark-dynamic-vision-patch-grounding-locator-skill — alphaparkinc-genpark-dynamic-vision-patch-grounding-locator-skill. Use this tool when you need to tokenize dynamic vision patches and locate spatial groundings, solving problems in image understanding and object recognition. It takes in visual data and outputs tokenized patches with corresponding spatial locations, enabling applications in computer vision and robotics. Ideal for use cases requiring precise object localization and scene understanding, such as autonomous navigation and image analysis.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-dynamic-vision-patch-grounding-locator-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-dynamic-vision-patch-grounding-locator-skill

## Description

Dynamic vision patch tokenizer & spatial grounding locator (Qwen2.5-VL style)

## 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-dynamic-vision-patch-grounding-locator-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-dynamic-vision-patch-grounding-locator-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-dynamic-vision-patch-grounding-locator-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-dynamic-vision-patch-grounding-locator-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
