# arabic-ai-atlas

> arabic-ai-atlas — zergcheater-arabic-ai-atlas. Use this tool when you need to navigate the Arabic AI ecosystem, as it provides an interactive map and searchable list of 3,302 entries to explore and discover relevant information. It solves problems of discovery and research in the Arabic AI space, offering a comprehensive overview of the ecosystem. With a simple and intuitive interface, it allows users to easily find and access relevant information, making it ideal for researchers, developers, and enthusiasts alike.

Canonical page: https://skillsregistry.net/skills/zergcheater-arabic-ai-atlas  
JSON: https://api.skillsregistry.net/v1/skills/zergcheater-arabic-ai-atlas

## Description

Explore the Arabic AI ecosystem through an interactive map, searchable list, and installable agent skill with 3,302 entries.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-11-06

## Source

- **Source listing:** [GitHub](https://github.com/zergcheater/arabic-ai-atlas)

## 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": "zergcheater-arabic-ai-atlas"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zergcheater-arabic-ai-atlas` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zergcheater-arabic-ai-atlas/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
