# Atlas

> Use this tool when you need to create a unified semantic layer for analytics, enabling humans to define data structures and relationships in YAML that can be easily consumed by AI agents. Atlas solves problems of data inconsistencies and integration complexities, providing a standardized interface for analytics workflows. It takes in YAML definitions as input and outputs a standardized semantic layer for AI-driven analytics.

Canonical page: https://skillsregistry.net/skills/io-github-atlasdevhq-atlas  
JSON: https://api.skillsregistry.net/v1/skills/io-github-atlasdevhq-atlas

## Description

Atlas is a YAML-defined semantic layer for analytics — authored by humans, consumed by AI agents.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.0.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.AtlasDevHQ%2Fatlas)
- **Repository:** <https://github.com/AtlasDevHQ/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": "io-github-atlasdevhq-atlas"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-atlasdevhq-atlas` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-atlasdevhq-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