# mirroir

> mirroir — jfarcand-mirroir. Use this tool when you need to automate interactions with a real iPhone or record its screen, allowing you to control the device remotely through macOS iPhone Mirroring. It solves problems such as automated testing, demo recording, and remote device management by providing inputs like tap, swipe, and type commands, and outputs like screenshots and video recordings. Ideal for use cases requiring iPhone simulation or recording, with a simple interface for launching apps and capturing device activity.

Canonical page: https://skillsregistry.net/skills/jfarcand-mirroir  
JSON: https://api.skillsregistry.net/v1/skills/jfarcand-mirroir

## Description

Control a real iPhone through macOS iPhone Mirroring — screenshot, tap, swipe, type, launch apps, record video.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/jfarcand-mirroir)

## 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": "jfarcand-mirroir"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jfarcand-mirroir` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jfarcand-mirroir/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