real-estate

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

Installation

安装

Companion Skills: This is part of the Camino AI location intelligence suite. Install all available skills (query, places, relationship, context, route, journey, real-estate, hotel-finder, ev-charger, school-finder, parking-finder, fitness-finder, safety-checker, travel-planner) for comprehensive coverage.

bash

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配套技能：这是Camino AI位置智能套件的一部分。为实现全面覆盖，请安装所有可用技能（query、places、relationship、context、route、journey、real-estate、hotel-finder、ev-charger、school-finder、parking-finder、fitness-finder、safety-checker、travel-planner）。

bash

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Install all skills from repo

从仓库安装所有技能

npx skills add https://github.com/barneyjm/camino-skills

Or install specific skills

或安装特定技能

npx skills add https://github.com/barneyjm/camino-skills --skill real-estate


**Via clawhub:**
```bash
npx clawhub@latest install real-estate

npx skills add https://github.com/barneyjm/camino-skills --skill real-estate


**通过clawhub安装：**
```bash
npx clawhub@latest install real-estate

or: pnpm dlx clawhub@latest install real-estate

或：pnpm dlx clawhub@latest install real-estate

or: bunx clawhub@latest install real-estate

或：bunx clawhub@latest install real-estate

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Real Estate Scout

房产侦察工具

Evaluate any address or location for home buyers and renters. Combines location context analysis with targeted amenity searches to surface nearby schools, transit, grocery stores, parks, restaurants, and walkability insights.

为购房者和租房者评估任意地址或位置。结合位置上下文分析与针对性的配套设施搜索，呈现周边学校、交通设施、杂货店、公园、餐厅及步行便利性洞察。

Setup

设置

Instant Trial (no signup required): Get a temporary API key with 25 calls:

bash

curl -s -X POST -H "Content-Type: application/json" \
  -d '{"email": "you@example.com"}' \
  https://api.getcamino.ai/trial/start

Returns:

{"api_key": "camino-xxx...", "calls_remaining": 25, ...}

For 1,000 free calls/month, sign up at https://app.getcamino.ai/skills/activate.

Add your key to Claude Code:

Add to your

~/.claude/settings.json

json

{
  "env": {
    "CAMINO_API_KEY": "your-api-key-here"
  }
}

Restart Claude Code.

即时试用（无需注册）：获取临时API密钥，可使用25次调用：

bash

curl -s -X POST -H "Content-Type: application/json" \
  -d '{"email": "you@example.com"}' \
  https://api.getcamino.ai/trial/start

返回结果：

{"api_key": "camino-xxx...", "calls_remaining": 25, ...}

如需每月1000次免费调用，请访问https://app.getcamino.ai/skills/activate注册。

将密钥添加至Claude Code：

将以下内容添加到你的

~/.claude/settings.json

：

json

{
  "env": {
    "CAMINO_API_KEY": "your-api-key-here"
  }
}

重启Claude Code。

Usage

使用方法

Via Shell Script

通过Shell脚本

bash

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bash

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Evaluate an address

评估地址

./scripts/real-estate.sh '{"address": "742 Evergreen Terrace, Springfield", "radius": 1000}'

Evaluate with coordinates

通过坐标评估

./scripts/real-estate.sh '{"location": {"lat": 40.7589, "lon": -73.9851}, "radius": 1500}'

Evaluate with smaller radius for dense urban area

针对密集市区使用更小半径评估

./scripts/real-estate.sh '{"address": "350 Fifth Avenue, New York, NY", "radius": 500}'

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./scripts/real-estate.sh '{"address": "350 Fifth Avenue, New York, NY", "radius": 500}'

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Via curl

通过curl

bash

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bash

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Step 1: Geocode the address

步骤1：地理编码地址

curl -H "X-API-Key: $CAMINO_API_KEY"
"https://api.getcamino.ai/query?query=742+Evergreen+Terrace+Springfield&limit=1"

Step 2: Get context with real estate focus

步骤2：获取聚焦房产的上下文信息

curl -X POST -H "X-API-Key: $CAMINO_API_KEY"
-H "Content-Type: application/json"
-d '{"location": {"lat": 40.7589, "lon": -73.9851}, "radius": 1000, "context": "real estate evaluation: schools, transit, grocery, parks, restaurants, walkability"}'
"https://api.getcamino.ai/context"

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Parameters

参数

Parameter	Type	Required	Default	Description
address	string	No*	-	Street address to evaluate (geocoded automatically)
location	object	No*	-	Coordinate with lat/lon to evaluate
radius	int	No	1000	Search radius in meters around the location

*Either

address

location

is required.

参数	类型	是否必填	默认值	描述
address	字符串	否*	-	待评估的街道地址（将自动进行地理编码）
location	对象	否*	-	包含纬度/经度的坐标，用于评估位置
radius	整数	否	1000	位置周边的搜索半径（单位：米）

address

或

location

二者必填其一。

Response Format

响应格式

json

{
  "area_description": "Residential neighborhood in Midtown Manhattan with excellent transit access...",
  "relevant_places": {
    "schools": [...],
    "transit": [...],
    "grocery": [...],
    "parks": [...],
    "restaurants": [...]
  },
  "location": {"lat": 40.7589, "lon": -73.9851},
  "search_radius": 1000,
  "total_places_found": 63,
  "context_insights": "This area offers strong walkability with multiple grocery options within 500m..."
}

json

{
  "area_description": "Residential neighborhood in Midtown Manhattan with excellent transit access...",
  "relevant_places": {
    "schools": [...],
    "transit": [...],
    "grocery": [...],
    "parks": [...],
    "restaurants": [...]
  },
  "location": {"lat": 40.7589, "lon": -73.9851},
  "search_radius": 1000,
  "total_places_found": 63,
  "context_insights": "This area offers strong walkability with multiple grocery options within 500m..."
}

Examples

示例

Evaluate a suburban address

评估郊区地址

bash

./scripts/real-estate.sh '{"address": "123 Oak Street, Palo Alto, CA", "radius": 1500}'

bash

./scripts/real-estate.sh '{"address": "123 Oak Street, Palo Alto, CA", "radius": 1500}'

Evaluate an urban apartment

评估市区公寓

bash

./scripts/real-estate.sh '{"location": {"lat": 40.7484, "lon": -73.9857}, "radius": 800}'

bash

./scripts/real-estate.sh '{"location": {"lat": 40.7484, "lon": -73.9857}, "radius": 800}'

Evaluate a neighborhood by coordinates

通过坐标评估社区

bash

./scripts/real-estate.sh '{"location": {"lat": 37.7749, "lon": -122.4194}, "radius": 2000}'

bash

./scripts/real-estate.sh '{"location": {"lat": 37.7749, "lon": -122.4194}, "radius": 2000}'

Best Practices

最佳实践

Use
```
address
```
for street addresses; the script will geocode them automatically
Use
```
location
```
with lat/lon when you already have coordinates
Start with a 1000m radius for suburban areas, 500m for dense urban areas
Combine with the
```
relationship
```
skill to calculate commute distances to workplaces
Combine with the
```
route
```
skill to estimate travel times to key destinations
Use the
```
school-finder
```
skill for more detailed school searches

对于街道地址，使用
```
address
```
参数；脚本会自动对其进行地理编码
当已有坐标时，使用包含lat/lon的
```
location
```
参数
郊区区域初始使用1000米半径，密集市区使用500米半径
结合
```
relationship
```
技能计算到工作地点的通勤距离
结合
```
route
```
技能估算到关键目的地的出行时间
使用
```
school-finder
```
技能进行更详细的学校搜索