# VectorizerAI

> VectorizerAI — opastorello-vectorizerai. Use this tool when you need to convert images into vector formats, solving problems like image scaling and resolution issues. VectorizerAI takes image files as input and outputs vectorized images, providing a user-friendly web interface built with React, Node.js, and Docker. Ideal for use cases requiring high-quality image resizing, such as graphic design, digital art, and web development.

Canonical page: https://skillsregistry.net/skills/opastorello-vectorizerai  
JSON: https://api.skillsregistry.net/v1/skills/opastorello-vectorizerai

## Description

Interface web para vetorizacao de imagens via Vectorizer.AI — React + Node.js + Docker

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** cloud-infra
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/opastorello/VectorizerAI)

## 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": "opastorello-vectorizerai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/opastorello-vectorizerai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/opastorello-vectorizerai/pull`

---
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