# genpark-vector-svg-brand-geometry-normalizer-skill

> genpark-vector-svg-brand-geometry-normalizer-skill — alphaparkinc-genpark-vector-svg-brand-geometry-normalizer-skill. Use this tool when you need to normalize and optimize vector SVG coordinates for brand icons, solving issues with inconsistent geometry and improving rendering efficiency. It takes in SVG files with irregular coordinates and outputs normalized, optimized SVGs with improved path geometry. Ideal for use cases involving icon standardization, such as branding and design systems, where consistency and performance are crucial.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-vector-svg-brand-geometry-normalizer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-vector-svg-brand-geometry-normalizer-skill

## Description

Brand icon vector SVG coordinate normalizer & path optimizer (Recraft)

## 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-vector-svg-brand-geometry-normalizer-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-vector-svg-brand-geometry-normalizer-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-vector-svg-brand-geometry-normalizer-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-vector-svg-brand-geometry-normalizer-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