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Findmy

Community
itgoyo
findmy

Track Apple devices and AirTags via FindMy.app on macOS using AppleScript and screen capture.

Overview

Publisheritgoyo
Repositoryhermes-skills
Skill namefindmy
Stars
77
Forks
11
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by itgoyo on GitHub. Read the source before you install it.

Installation

Install the Findmy AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/itgoyo/hermes-skills/tree/main/apple/findmy
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/itgoyo/hermes-skills.git /tmp/hermes-skills
mkdir -p .claude/skills
cp -r /tmp/hermes-skills/apple/findmy .claude/skills/findmy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Findmy in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Findmy on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Findmy is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Frequently asked questions

What does the Findmy AI skill do?

Track Apple devices and AirTags via FindMy.app on macOS using AppleScript and screen capture.

Why use Findmy on TypingMind?

Because you install it once and use it with any model. Findmy is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Findmy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/itgoyo/hermes-skills/tree/main/apple/findmy. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Findmy?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Findmy?

As many as you like. As long as a model supports skills, you can use Findmy with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Findmy AI skill free?

Yes. It is published on GitHub by itgoyo under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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