# pixasso

> pixasso — erebuzzz-pixasso. Use this tool when you need to streamline frontend engineering and design for AI agents and developers, solving problems such as fragmented workflows and manual QA processes. Pixasso provides an end-to-end solution, accepting inputs from git and outputting orchestrated designs with features like 3D WebGL, typography, and motion. It is ideal for use cases requiring automated QA and comprehensive design management.

Canonical page: https://skillsregistry.net/skills/erebuzzz-pixasso  
JSON: https://api.skillsregistry.net/v1/skills/erebuzzz-pixasso

## Description

The complete end-to-end frontend engineering and design orchestrator for AI agents and developers. 16 pillars, MCP server, 3D WebGL, typography, motion, and automated QA.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Erebuzzz/pixasso)

## 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": "erebuzzz-pixasso"
    }
  }
}
```

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