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Map Search

更适合中国体质宝宝的地图搜索工具，支持高德、百度、腾讯地图聚合搜索。

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更适合中国体质宝宝的地图搜索工具，支持高德、百度、腾讯地图聚合搜索。

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md, map_search.py

Validation

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Confirm the extracted package contains the expected setup assets.

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Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: shoucangjia1qu
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 16 sections Open source page

🗺️ Map Search Skill

多地图聚合搜索工具，支持高德、百度、腾讯。

核心代码

#!/usr/bin/env python3 """地图搜索工具""" import os import json import requests # ========== 配置路径 ========== CONFIG_PATH = os.path.expanduser("~/.config/openclaw/map_config.json") # ========== 读取配置函数 ========== def get_config(): """从配置文件读取所有配置（API Keys + 优先级）""" if os.path.exists(CONFIG_PATH): with open(CONFIG_PATH, 'r') as f: config = json.load(f) return { "api_keys": { "amap": config.get("amap", {}).get("api_key", ""), "baidu": config.get("baidu", {}).get("api_key", ""), "tencent": config.get("tencent", {}).get("api_key", "") }, "priority": config.get("priority", ["amap", "tencent", "baidu"]) } # 回退到环境变量 return { "api_keys": { "amap": os.getenv("AMAP_API_KEY", ""), "baidu": os.getenv("BAIDU_MAP_API_KEY", ""), "tencent": os.getenv("TENCENT_MAP_API_KEY", "") }, "priority": ["amap", "tencent", "baidu"] } # ========== 初始化全局变量 ========== CONFIG = get_config() # 获取配置 API_KEYS = CONFIG["api_keys"] # 提取 API Keys PRIORITY = CONFIG["priority"] # 提取优先级 AMAP_KEY = API_KEYS["amap"] BAIDU_KEY = API_KEYS["baidu"] TENCENT_KEY = API_KEYS["tencent"] # ========== 核心搜索函数 ========== def search_maps(keyword, region="全国", priority=None): """地图聚合搜索""" if priority is None: priority = PRIORITY # 使用配置文件中的优先级 results = {} # 高德搜索 if "amap" in priority and AMAP_KEY: url = f"https://restapi.amap.com/v3/place/text?key={AMAP_KEY}&keywords={keyword}&city={region}&output=json" r = requests.get(url, timeout=5).json() if r.get("status") == "1": results["高德"] = [{"name": p["name"], "address": p["address"], "location": p["location"]} for p in r.get("pois", [])[:5]] # 百度搜索 if "baidu" in priority and BAIDU_KEY: url = f"https://api.map.baidu.com/place/v2/search?query={keyword}&region={region}&ak={BAIDU_KEY}&output=json" r = requests.get(url, timeout=5).json() if r.get("status") == 0: results["百度"] = [{"name": p["name"], "address": p.get("address", ""), "location": p.get("location", "")} for p in r.get("results", [])[:5]] # 腾讯搜索 if "tencent" in priority and TENCENT_KEY: url = f"https://apis.map.qq.com/ws/place/v1/search?keyword={keyword}&region={region}&key={TENCENT_KEY}&output=json" r = requests.get(url, timeout=5).json() if r.get("status") == 0: results["腾讯"] = [{"name": p["name"], "address": p.get("address", ""), "location": p.get("location", "")} for p in r.get("data", [])[:5]] return results # ========== 主入口 ========== if __name__ == "__main__": import sys keyword = sys.argv[1] if len(sys.argv) > 1 else "咖啡馆" region = sys.argv[2] if len(sys.argv) > 2 else "上海" results = search_maps(keyword, region) for source, items in results.items(): print(f"\n【{source}】") for i, item in enumerate(items, 1): print(f" {i}. {item['name']}") print(f" 地址: {item['address']}")

1. 通过 exec 调用

python /root/.openclaw/workspace/skills/map-search/map_search.py "咖啡馆" "上海"

2. 封装成 CLI 工具

# 创建软链接 ln -s /root/.openclaw/workspace/skills/map-search/map_search.py /usr/local/bin/map-search # 直接使用 map-search "火锅" "北京" map-search "酒店" "深圳"

配置文件

路径： ~/.config/openclaw/map_config.json { "amap": { "api_key": "你的高德API Key" }, "baidu": { "api_key": "你的百度API Key" }, "tencent": { "api_key": "你的腾讯API Key" }, "priority": ["amap", "tencent", "baidu"] }

设置优先级

"priority": ["amap", "tencent", "baidu"] "amap" - 高德 "baidu" - 百度 "tencent" - 腾讯按数组顺序搜索，找到一个有效结果就停止。

环境变量（备选）

如果配置文件不存在，会回退到环境变量： export AMAP_API_KEY="你的高德Key" export BAIDU_MAP_API_KEY="你的百度Key" export TENCENT_MAP_API_KEY="你的腾讯Key"

API Keys 申请

平台地址高德https://lbs.amap.com/百度https://lbsyun.baidu.com/腾讯https://lbs.qq.com/

关键词搜索

【高德】 1. 星巴克(人民广场店) 地址: 黄浦区南京西路123号 2. 瑞幸咖啡(来福士店) 地址: 黄浦区西藏中路268号

附近搜索

🔍 附近搜索: 咖啡馆 (半径 2000 米) 正在获取当前位置... 当前位置: 经度 121.47, 纬度 31.23 【高德】 1. 星巴克(人民广场店) 地址: 黄浦区南京西路123号距离: 520米 2. 瑞幸咖啡(来福士店) 地址: 黄浦区西藏中路268号距离: 890米

自动获取当前位置（通过 IP 定位）

python /root/.openclaw/workspace/skills/map-search/map_search.py --nearby -k "咖啡馆"

指定经纬度

python /root/.openclaw/workspace/skills/map-search/map_search.py --nearby -k "咖啡馆" --lat 31.230416 --lng 121.473701

指定搜索半径

python /root/.openclaw/workspace/skills/map-search/map_search.py --nearby -k "火锅" -r 1000

命令行参数

参数说明示例--nearby 或 -n启用附近搜索模式--nearby-k 或 --keyword搜索关键词-k "咖啡馆"--lat纬度--lat 31.230416--lng经度--lng 121.473701-r 或 --radius搜索半径（米，默认2000）-r 1000

使用场景示例

场景命令搜附近咖啡馆map-search --nearby -k "咖啡馆"搜附近1公里的火锅map-search --nearby -k "火锅" -r 1000搜指定位置附近的酒店map-search --nearby -k "酒店" --lat 39.9 --lng 116.4

注意事项

需要安装 requests 库: pip install requests 每个地图 API 有每日调用次数限制配置文件优先级 > 环境变量附近搜索需要配置高德 API Key（用于 IP 定位）

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

1 Docs1 Scripts

SKILL.md Primary doc
map_search.py Scripts