---
name: findmy
description: "Track Apple devices/AirTags via FindMy.app on macOS."
version: 1.0.0
author: Hermes Agent
license: MIT
platforms: [macos]
metadata:
  hermes:
    tags: [FindMy, AirTag, location, tracking, macOS, Apple]
---

# Find My (Apple)

Track Apple devices and AirTags via the FindMy.app on macOS. Since Apple doesn't
provide a CLI for FindMy, this skill uses AppleScript to open the app and
screen capture to read device locations.

## Prerequisites

- **macOS** with Find My app and iCloud signed in
- Devices/AirTags already registered in Find My
- Screen Recording permission for terminal (System Settings → Privacy → Screen Recording)
- **Optional but recommended**: Install `peekaboo` for better UI automation:
  `brew install steipete/tap/peekaboo`

## When to Use

- User asks "where is my [device/cat/keys/bag]?"
- Tracking AirTag locations
- Checking device locations (iPhone, iPad, Mac, AirPods)
- Monitoring pet or item movement over time (AirTag patrol routes)

## Method 1: AppleScript + Screenshot (Basic)

### Open FindMy and Navigate

```bash
# Open Find My app
osascript -e 'tell application "FindMy" to activate'

# Wait for it to load
sleep 3

# Take a screenshot of the Find My window
screencapture -w -o /tmp/findmy.png
```

Then use `vision_analyze` to read the screenshot:
```
vision_analyze(image_url="/tmp/findmy.png", question="What devices/items are shown and what are their locations?")
```

### Switch Between Tabs

```bash
# Switch to Devices tab
osascript -e '
tell application "System Events"
    tell process "FindMy"
        click button "Devices" of toolbar 1 of window 1
    end tell
end tell'

# Switch to Items tab (AirTags)
osascript -e '
tell application "System Events"
    tell process "FindMy"
        click button "Items" of toolbar 1 of window 1
    end tell
end tell'
```

## Method 2: Peekaboo UI Automation (Recommended)

If `peekaboo` is installed, use it for more reliable UI interaction:

```bash
# Open Find My
osascript -e 'tell application "FindMy" to activate'
sleep 3

# Capture and annotate the UI
peekaboo see --app "FindMy" --annotate --path /tmp/findmy-ui.png

# Click on a specific device/item by element ID
peekaboo click --on B3 --app "FindMy"

# Capture the detail view
peekaboo image --app "FindMy" --path /tmp/findmy-detail.png
```

Then analyze with vision:
```
vision_analyze(image_url="/tmp/findmy-detail.png", question="What is the location shown for this device/item? Include address and coordinates if visible.")
```

## Workflow: Track AirTag Location Over Time

For monitoring an AirTag (e.g., tracking a cat's patrol route):

```bash
# 1. Open FindMy to Items tab
osascript -e 'tell application "FindMy" to activate'
sleep 3

# 2. Click on the AirTag item (stay on page — AirTag only updates when page is open)

# 3. Periodically capture location
while true; do
    screencapture -w -o /tmp/findmy-$(date +%H%M%S).png
    sleep 300  # Every 5 minutes
done
```

Analyze each screenshot with vision to extract coordinates, then compile a route.

## Limitations

- FindMy has **no CLI or API** — must use UI automation
- AirTags only update location while the FindMy page is actively displayed
- Location accuracy depends on nearby Apple devices in the FindMy network
- Screen Recording permission required for screenshots
- AppleScript UI automation may break across macOS versions

## Rules

1. Keep FindMy app in the foreground when tracking AirTags (updates stop when minimized)
2. Use `vision_analyze` to read screenshot content — don't try to parse pixels
3. For ongoing tracking, use a cronjob to periodically capture and log locations
4. Respect privacy — only track devices/items the user owns


---
Source attribution: aniruddhaadak80
Original project: https://github.com/aniruddhaadak80/herclew/blob/080fb1e18bb9513027be097e3cb530e6c5c636cf/core-agent/skills/apple/findmy/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Dave AI.

## Upstream license notice

MIT License

Copyright (c) 2025 Nous Research

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Dave AI resource metadata

Creator / publisher: aniruddhaadak80
Original project: https://github.com/aniruddhaadak80/herclew/blob/080fb1e18bb9513027be097e3cb530e6c5c636cf/core-agent/skills/apple/findmy/SKILL.md
Attribution basis: Source repository record

Fields of work: Sales, Customer Support
Roles: Customer Success Manager, Support Agent, Technical Support
Specialties: API
Tools: Findmy
Country applicability: United States
Classification basis: Source catalog labels
Instruction SHA-256: 19ec56e3b7f9f0be13c26d99948ed5684d8fb1f9c478da078c19356b5df63f57