# Systemonomic — Work Domain Analysis & AI Task Suitability

> Use this tool when you need to analyze complex work domains and determine the suitability of tasks for artificial intelligence implementation. It solves problems related to organizational design and AI integration by providing a framework to model work domains and score tasks for AI suitability. The tool takes in work domain models and task descriptions as inputs and outputs AI suitability scores and organizational design recommendations.

Canonical page: https://skillsregistry.net/skills/io-github-tonyc23-systemonomic-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-tonyc23-systemonomic-mcp

## Description

Model work domains, score tasks for AI suitability, and design organisations.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.TonyC23%2Fsystemonomic-mcp)
- **Repository:** <https://github.com/TonyC23/systemonomic-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": "io-github-tonyc23-systemonomic-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-tonyc23-systemonomic-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-tonyc23-systemonomic-mcp/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