Benjamin Poile

Find My Location

AI 智能体v1.1.1
作者:Benjamin Poile更新于 2026-05-18共 4 个版本 · 最新版本发布于 2026-01-27findmy-location@clawhub_poiley/findmy-location
上下文管理工具调用#Home

据 AlphaMoat 统计,截至 2026-10,Find My Location 累计下载 5,895 次、获 5 个星标,按累计下载量在本次参与排名的 5,109 个 AI 技能中排名第 2,334 位,在「AI 智能体」分类(987 个)中排名第 444 位。

列表默认按累计下载量排序,也可按星标排序;详情页排名按累计下载量计算。

累计下载
5,895
星标
5
全站下载量排名
#2,334
全站前 46% · 「AI 智能体」前 45%
平台累计下载星标评论
ClawHub ↗4,5165-
SkillHub ↗5,8955—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

通过 AppleFind My 追踪共享联系人位置,精度达街道级别。返回地址、城市及场景(家/工作/外出),通过地图地标识别。支持配置已知位置和未知地点视觉备选。

月度数据趋势

累计下载5,895
3,3304,7086,0852026-05 · 累计下载 3,5202026-06 · 累计下载 3,7002026-07 · 累计下载 4,0132026-08 · 累计下载 4,2022026-09 · 累计下载 4,4362026-10 · 累计下载 5,89526-0526-0926-10
星标5
4562026-05 · 星标 52026-06 · 星标 52026-07 · 星标 52026-08 · 星标 52026-09 · 星标 52026-10 · 星标 526-0526-0926-10

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份累计下载环比星标
2026-105,895—5
2026-094,436—5
2026-084,202+4.7%5
2026-074,013+8.5%5
2026-063,700+5.1%5
2026-053,520—5

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

4.1 KB · ClawHub v1.1.1
---
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
展开全部(共 157 行)

- **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

「AI 智能体」分类下的热门技能

数据月份:2026-10 · 下载/星标数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。