# Ludo Game Assets

> Use this tool when you need to generate a wide range of game development assets, such as sprites, 3D models, and audio files, to speed up your game creation process. It solves problems of asset creation, providing multiple art styles and customizable options to fit your game's unique needs. With inputs of desired asset type and style, it outputs ready-to-use assets, making it ideal for game developers, designers, and artists looking to streamline their workflow.

Canonical page: https://skillsregistry.net/skills/game-assets  
JSON: https://api.skillsregistry.net/v1/skills/game-assets

## Description

Ludo Game Assets provides AI-powered generation of game development assets through the Ludo AI platform. Supports creating sprites, icons, backgrounds, UI assets, textures, 3D GLB models with PBR textures, animated spritesheets, short videos, sound effects, background music, and character voices. Offers multiple art styles including pixel art, low poly, cartoonish, and stylized 3D, with configurable perspectives and aspect ratios.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/game-assets)
- **Repository:** <https://github.com/ludo-ai/ludo-mcp>

## 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": "game-assets"
    }
  }
}
```

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