據 AlphaMoat 統計,截至 2026-10,Find My Location 累計下載 5,895 次、獲 5 個星標,按累計下載量在本次參與排名的 10,914 個 AI 技能中排名第 4,904 位,在「AI 智慧體」分類(1,632 個)中排名第 668 位。
列表預設按累計下載量排序,也可按星標排序;詳情頁排名按累計下載量計算。
| 平台 | 累計下載 | 星標 | 評論 |
|---|---|---|---|
| ClawHub ↗ | 4516 | 5 | - |
| SkillHub ↗ | 5895 | 5 | — |
各平台的計數口徑不同,統計時間不一致。
透過 AppleFind My 追蹤共享聯絡人位置,精度達街道級別。返回地址、城市及場景(家/工作/外出),透過地圖地標識別。支援配置已知位置和未知地點視覺備選。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-10 | 5895 | — | 5 |
| 2026-09 | 4436 | — | 5 |
| 2026-08 | 4202 | +4.7% | 5 |
| 2026-07 | 4013 | +8.5% | 5 |
| 2026-06 | 3700 | +5.1% | 5 |
| 2026-05 | 3520 | — | 5 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
--- name: findmy-location description: Track a shared contact's location via Apple Find My with street-level accuracy. Returns address, city, and context (home/work/out) by reading map landmarks. Supports configurable known locations and vision fallback for unknown places. --- # Find My Location Track shared contacts via Apple Find My with street-corner accuracy. ## Requirements
- **macOS** 13+ with Find My app
- **Python** 3.9+
- **iCloud account** signed in on your Mac (for Find My access)
- **Location sharing** enabled from the contact you want to track
- **peekaboo** - screen reading CLI ([GitHub](https://github.com/steipete/peekaboo))
- **Hammerspoon** (optional) - for reliable UI clicking ([hammerspoon.org](https://www.hammerspoon.org/))
## Prerequisites
### 1. iCloud & Find My Setup
Your Mac must be signed into an iCloud account with Find My enabled:
- System Settings → Apple ID → iCloud → Find My Mac (enabled)
- The person you want to track must share their location with this iCloud account via Find My
### 2. Install peekaboo
```bash
brew install steipete/tap/peekaboo
```
Grant **Accessibility** and **Screen Recording** permissions when prompted (System Settings → Privacy & Security).
### 3. Install Hammerspoon (optional but recommended)
Hammerspoon provides reliable clicking that works across all apps. Without it, clicks may occasionally go to the wrong window.
```bash
brew install hammerspoon
open -a Hammerspoon
```
Add to `~/.hammerspoon/init.lua`:
```lua
local server = hs.httpserver.new(false, false)
server:setPort(9090)
server:setCallback(function(method, path, headers, body)
local data = body and hs.json.decode(body) or {}
if path == "/click" then
hs.eventtap.leftClick({x=data.x, y=data.y})
return hs.json.encode({status="clicked", x=data.x, y=data.y}), 200, {}
end
return hs.json.encode({error="not found"}), 404, {}
end)
server:start()
```
Reload config (Hammerspoon menu → Reload Config), then create `~/.local/bin/hsclick`:
```bash
#!/bin/bash
curl -s -X POST localhost:9090/click -d "{\"x\":$2,\"y\":$3}"
chmod +x ~/.local/bin/hsclick
```
## Installation
```bash
git clone https://github.com/poiley/findmy-location.git
cd findmy-location
./install.sh
```
Or via ClawdHub:
```bash
clawdhub install findmy-location
```
## Configuration
Create `~/.config/findmy-location/config.json`:
```json
{
"target": "John",
"known_locations": [
{
"name": "home",
"address": "123 Main St, City, ST",
"markers": ["landmark near home"]
},
{
"name": "work",
"address": "456 Office Blvd, City, ST",
"markers": ["landmark near work"]
}
]
}
```
| Field | Description |
|-------|-------------|
| `target` | Contact name to track (optional - defaults to first shared contact) |
| `known_locations` | Array of places you want labeled with addresses |
| `markers` | Landmarks visible on the Find My map when at that location |
## Usage
```bash
findmy-location # Human-readable output
findmy-location --json # JSON output
```
### Example Output
```
123 Main St, City, ST (home) - Now
```
```json
{
"person": "[email protected]",
"address": "Main St & 1st Ave",
"city": "Anytown",
"state": "WA",
"status": "Now",
"context": "out",
"screenshot": "/tmp/findmy-12345.png",
"needs_vision": false
}
```
| Field | Description |
|-------|-------------|
| `context` | `home`, `work`, `out`, or `unknown` |
| `needs_vision` | If `true`, use AI vision on screenshot to read street names |
| `screenshot` | Path to captured map image |
## How It Works
1. Opens Find My app and selects target contact
2. Captures map and reads accessibility data
3. Matches visible landmarks against configured known locations
4. Returns address and context, or flags for vision analysis
## Troubleshooting
| Issue | Solution |
|-------|----------|
| Clicks go to wrong window | Install Hammerspoon (see prerequisites) |
| "No person found" | Ensure location sharing is enabled in Find My |
| Always shows `needs_vision: true` | Add markers for frequently visited places |
| Permission errors | Grant peekaboo Accessibility + Screen Recording access |
## License
MIT
將開發過程中的經驗、錯誤與修正記錄為 Markdown 檔案,供日後重用並提升為工作區記憶。
用自然語言描述需求,在本機與遠端技能市場尋找技能並取得推薦。
給 AI agent 用的瀏覽器自動化命令列技能。
將使用者明確糾正與自我檢視整理成分層記憶,並依使用情況升級或封存。
規劃 AI 代理主動跟進、工作記憶與回顧流程的工作區設定指南。
指導如何建立與更新有效 Claude 技能的寫作指南。
在安裝第三方技能之前,按清單審查來源、許可權與危險模式的技能。
把盛唐詩人李白的詩學觀、意象系統與口吻,蒸餾成 AI 可呼叫的角色包。
資料月份:2026-10 · 下載/星標數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。