# ira-universe

> Use this tool when you need to understand and adopt Ira, a factory-specific technology, without exposing sensitive data. It provides a public-safe visitor interface to explain Ira's concept, architecture, and customization process, solving knowledge gaps and onboarding challenges. Ideal for developers and users seeking to integrate Ira into their workflows, it offers a guided tour of Claude Code and Cursor with factory-specific fork adoption guidance.

Canonical page: https://skillsregistry.net/skills/doshirush1901-ira-universe  
JSON: https://api.skillsregistry.net/v1/skills/doshirush1901-ira-universe

## Description

Public-safe visitor MCP for Claude Code and Cursor that explains what Ira is, how it is built, and how to adopt a factory-specific fork without sensitive data.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s2ym7de7u0)
- **Repository:** <https://github.com/doshirush1901/ira-universe>

## 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": "doshirush1901-ira-universe"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/doshirush1901-ira-universe` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/doshirush1901-ira-universe/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