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geocodergeocoder 命令行

Agent Skill

geocoder 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,591

周安装

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GitHub Stars

53

下载量

510
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:geocoder(geocoder 命令行)
来源仓库:https://github.com/dkyazzentwatwa/chatgpt-skills
仓库路径:skills/geocoder
安装命令:
npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill geocoder
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill geocoder

简介

geocoder 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适用于代码仓库管理、协作事项跟踪等开发协作场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用该技能。
  • 安装前需确认权限范围和维护状态,注意可能触发的联网或文件操作行为。
  • geocoder 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Geocoder

Convert between addresses and geographic coordinates.

Features

  • Geocoding: Address to coordinates
  • Reverse Geocoding: Coordinates to address
  • Batch Processing: Process CSV files
  • Multiple Providers: Nominatim (free), Google, Bing
  • Address Components: Structured address parsing
  • Caching: Built-in result caching

Quick Start

from geocoder import Geocoder

geo = Geocoder()

# Address to coordinates
result = geo.geocode("1600 Amphitheatre Parkway, Mountain View, CA")
print(f"Coordinates: {result['lat']}, {result['lon']}")

# Coordinates to address
result = geo.reverse(37.4224, -122.0840)
print(f"Address: {result['address']}")

CLI Usage

# Geocode address
python geocoder.py --geocode "Empire State Building, New York"

# Reverse geocode
python geocoder.py --reverse "40.7484,-73.9857"

# Batch geocode CSV
python geocoder.py --input addresses.csv --column address --output geocoded.csv

# Batch reverse geocode
python geocoder.py --input coords.csv --lat lat --lon lon --reverse-batch --output addresses.csv

API Reference

Geocoder Class

class Geocoder:
    def __init__(self, provider: str = "nominatim", api_key: str = None)

    # Single operations
    def geocode(self, address: str) -> dict
    def reverse(self, lat: float, lon: float) -> dict

    # Batch operations
    def batch_geocode(self, addresses: list, delay: float = 1.0) -> list
    def batch_reverse(self, coordinates: list, delay: float = 1.0) -> list

    # File operations
    def geocode_csv(self, input: str, column: str, output: str) -> str
    def reverse_csv(self, input: str, lat: str, lon: str, output: str) -> str

Providers

Nominatim (Default)

  • Free, no API key required
  • Rate limited (1 request/second)
  • Uses OpenStreetMap data

Google Maps

geo = Geocoder(provider="google", api_key="YOUR_KEY")

Bing Maps

geo = Geocoder(provider="bing", api_key="YOUR_KEY")

Geocoding Result

{
    "address": "1600 Amphitheatre Parkway, Mountain View, CA",
    "lat": 37.4224764,
    "lon": -122.0842499,
    "components": {
        "house_number": "1600",
        "road": "Amphitheatre Parkway",
        "city": "Mountain View",
        "state": "California",
        "postcode": "94043",
        "country": "United States"
    },
    "raw": {...}  # Provider-specific data
}

Reverse Geocoding Result

{
    "lat": 40.7484,
    "lon": -73.9857,
    "address": "20 W 34th St, New York, NY 10001, USA",
    "components": {
        "house_number": "20",
        "road": "West 34th Street",
        "city": "New York",
        "state": "New York",
        "postcode": "10001",
        "country": "United States"
    }
}

Example Workflows

Geocode Customer Addresses

geo = Geocoder()
result = geo.geocode_csv(
    input="customers.csv",
    column="shipping_address",
    output="customers_geocoded.csv"
)
print(f"Geocoded {result['success']} of {result['total']} addresses")

Validate Addresses

geo = Geocoder()
address = "123 Main St, Anytown"

result = geo.geocode(address)
if result:
    print(f"Valid: {result['address']}")
    print(f"Standardized: {result['components']}")
else:
    print("Address not found")

Add Addresses to Coordinates

geo = Geocoder()

locations = [
    (40.7128, -74.0060),
    (34.0522, -118.2437),
    (41.8781, -87.6298)
]

for lat, lon in locations:
    result = geo.reverse(lat, lon)
    print(f"({lat}, {lon}): {result['address']}")

Rate Limiting

Nominatim requires 1 second between requests. The batch functions handle this automatically.

# Automatic delay in batch operations
results = geo.batch_geocode(addresses, delay=1.0)

# For paid providers, can reduce delay
geo = Geocoder(provider="google", api_key="KEY")
results = geo.batch_geocode(addresses, delay=0.1)

Error Handling

result = geo.geocode("Invalid Address XYZ123")
if result is None:
    print("Address not found")
elif result.get('error'):
    print(f"Error: {result['error']}")
else:
    print(f"Found: {result['address']}")

Dependencies

  • geopy>=2.4.0
  • pandas>=2.0.0

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenCode

23.96%
按下载量换算122

Claude Code

22.88%
按下载量换算117

Codex

17.19%
按下载量换算88

Gemini CLI

13.03%
按下载量换算66

Antigravity

7.87%
按下载量换算40

windsurf

3.29%
按下载量换算17

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可疑

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敏感数据

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安装前确认

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来源信息

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