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Prismer Findmy

OrganizationPopular
Prismer-AI
prismer-findmy

Track Apple devices/AirTags via FindMy.app on macOS.

Overview

PublisherPrismer-AI
RepositoryPrismerCloud
Skill nameprismer-findmy
Stars
1.6K
Forks
17
Bundled files
2
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Prismer-AI on GitHub. Read the source before you install it.

Installation

Install the Prismer 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/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/prismer-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/Prismer-AI/PrismerCloud.git /tmp/PrismerCloud
mkdir -p .claude/skills
cp -r /tmp/PrismerCloud/sdk/cloud/catalog/skills/prismer-findmy .claude/skills/prismer-findmy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prismer 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 Prismer 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 Prismer 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.

Prismer execution contract

This is the uniquely named prismer-findmy skill, adapted from Hermes. Use the actual tools exposed by the executing host; examples using terminal, process, delegate_task, vision_analyze or browser_* are not tool registrations. Missing dependencies do not hide this skill. Report command startup, version, account/permissions and task-specific live verification separately. Use task-owned artifact paths and existing user authorization; do not change shared accounts, Runtime/provider configuration, global security settings or unrelated work. See NOTICE.md and LICENSE for resource provenance. Runtime availability and upstream-entry suppression are owned by the integration layer.

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

Run python3 "$SKILL_ROOT/scripts/readiness.py" findmy. This does not open the app or prove Screen Recording, Accessibility, Automation or iCloud readiness. Inspect live UI labels/elements in the user's locale; English labels below are illustrations, not stable selectors. Use only the user-authorized device.

  • 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
# WINDOW_ID must be the verified numeric Find My window, not a guessed value.
TASK_CAPTURE_DIR=$(mktemp -d "${TMPDIR:-/tmp}/prismer-findmy.XXXXXX")
screencapture -x -l "$WINDOW_ID" "$TASK_CAPTURE_DIR/findmy.png"

Then use vision_analyze to read the screenshot:

vision_analyze(image_url="$TASK_CAPTURE_DIR/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 $TASK_CAPTURE_DIR/findmy-ui.png

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

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

Then analyze with vision:

vision_analyze(image_url="$TASK_CAPTURE_DIR/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. Select the exact item and read its displayed update time.
# 3. One sample per authorized, time-bounded Prismer scheduler invocation.
screencapture -x -l "$WINDOW_ID" "$TASK_CAPTURE_DIR/findmy-$(date +%Y%m%dT%H%M%S)-$$.png"

Read only coordinates actually visible; never infer precise GPS from an address or map pin. Record timestamp/accuracy and retain only the user-authorized interval. Do not compile a route unless requested.

Limitations

  • FindMy has no CLI or API — must use UI automation
  • Background refresh depends on OS/device state; report the displayed update time
  • 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. Observe actual refresh behavior; do not promise foreground/background timing
  2. Use vision_analyze to read screenshot content — don't try to parse pixels
  3. For requested ongoing tracking, use the actual Prismer scheduler with an explicit duration and retention limit
  4. Respect privacy — only track devices/items the user owns

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Prismer Findmy AI skill do?

Track Apple devices/AirTags via FindMy.app on macOS.

Why use Prismer Findmy on TypingMind?

Because you install it once and use it with any model. Prismer 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 Prismer Findmy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/prismer-findmy. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Prismer 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 Prismer Findmy?

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

Is the Prismer Findmy AI skill free?

Yes. It is published on GitHub by Prismer-AI 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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