# ontology-atlas

> ontology-atlas — wlsdks-ontology-atlas. Use this tool when you need to understand the structure and implications of changes in your codebase, and want a shared knowledge base for humans and AI agents. The ontology-atlas provides a visualized Markdown ontology for humans and an accessible interface through MCP for agents, with integration with Git for review and version control. It helps solve problems of codebase complexity and change management, taking a local-first and open-source approach.

Canonical page: https://skillsregistry.net/skills/wlsdks-ontology-atlas  
JSON: https://api.skillsregistry.net/v1/skills/wlsdks-ontology-atlas

## Description

Understand what your codebase builds, why it is structured that way, and what a change could affect.  One shared Markdown ontology for humans and coding agents—visualized for people, accessible to agents through MCP, and reviewed with Git.  Local-first. Open source.

## Trust

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

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/wlsdks/ontology-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": "wlsdks-ontology-atlas"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wlsdks-ontology-atlas` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wlsdks-ontology-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