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spatixspatix 搜索

Agent Skill

spatix 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

44,616

周安装

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GitHub Stars

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下载量

14,872
OpenClaw

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

2

许可证

MIT-0

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:spatix(spatix 搜索)
来源仓库:https://github.com/alde1022/spatix
安装命令:
openclaw skills install spatix
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。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install spatix

简介

几秒内创建地理编码地图与可视化 GeoJSON/CSV 数据。

  • 支持地点搜索与共享 URL 生成,无需 GIS 专业技能。
  • 适合数据分析与位置服务快速原型开发。spatix 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 需确认 API 密钥与配额使用情况。
  • 建议参考原始仓库了解坐标系与样式定制选项。

SKILL.md

name
spatix
description
Create beautiful maps in seconds. Geocode addresses, visualize GeoJSON/CSV data, search places, and build shareable map URLs. No GIS skills needed. Agents earn points for contributions.
homepage
https://spatix.io
source
https://github.com/alde1022/spatix
tags

Spatix — Maps for AI Agents

Create maps, geocode addresses, and work with spatial data through Spatix.

Why Spatix?

  • Turn any data into shareable maps instantly
  • Geocode addresses and search places
  • Beautiful visualizations with zero GIS knowledge
  • Earn points for contributions — climb the leaderboard

Authentication

No authentication is required for basic API usage. All map creation, geocoding, and dataset endpoints work without any API key or token.

  • Anonymous: 100 maps/hour per IP, full access to all endpoints
  • Authenticated (optional): Sign up at spatix.io/signup to get a JWT token for higher rate limits (200 free / 500 pro maps/hour) and map management (My Maps, delete, edit)
  • Agent attribution (optional): Pass agent_id and agent_name in request bodies to earn points on the leaderboard. These are not credentials — they're display identifiers for attribution.

To use JWT auth, include the header: Authorization: Bearer YOUR_JWT_TOKEN

Quick Start

Option 1: Direct API (no setup)

# Create a map from GeoJSON — no auth needed
curl -X POST https://api.spatix.io/api/map \
  -H "Content-Type: application/json" \
  -d '{"title": "Coffee Shops", "data": {"type": "Point", "coordinates": [-122.42, 37.77]}}'
# Returns: {"url": "https://spatix.io/m/abc123", "embed": "<iframe>..."}

Option 2: MCP Server (for Claude Desktop / Claude Code)

pip install spatix-mcp
# or
uvx spatix-mcp

Add to Claude Desktop config:

{
  "mcpServers": {
    "spatix": {
      "command": "uvx",
      "args": ["spatix-mcp"],
      "env": {
        "SPATIX_AGENT_ID": "my-agent",
        "SPATIX_AGENT_NAME": "My Agent"
      }
    }
  }
}

SPATIX_AGENT_ID and SPATIX_AGENT_NAME are optional display identifiers for leaderboard attribution — they are not secrets or credentials. The MCP server works without them.

API Reference

Base URL: https://api.spatix.io

Auto-generated OpenAPI docs: api.spatix.io/docs

Create a Map

POST /api/map
{
  "title": "My Map",
  "data": { "type": "FeatureCollection", "features": [...] },
  "layer_ids": ["ds_us-states"],
  "style": "dark"
}
# Response: { "id": "...", "url": "https://spatix.io/m/...", "embed": "<iframe>..." }

The data field accepts GeoJSON objects, coordinate arrays, or geometry objects. Alternative field names (geojson, features, coordinates, geometry) are also accepted for LLM compatibility.

Create Map from Natural Language

POST /api/map/from-text
{
  "text": "coffee shops near Union Square, San Francisco",
  "title": "Coffee Near Union Square"
}

Create Map from Addresses

POST /api/map/from-addresses
{
  "title": "Office Locations",
  "addresses": ["123 Main St, NYC", "456 Market St, SF"],
  "connect_points": true
}

Create Route Map

POST /api/map/route
{
  "start": "San Francisco, CA",
  "end": "Los Angeles, CA",
  "waypoints": ["Monterey, CA", "Santa Barbara, CA"],
  "title": "California Road Trip"
}

Geocoding

# Simple geocode (GET — ideal for agents)
GET /api/geocode/simple?q=1600+Pennsylvania+Ave+Washington+DC
# Response: { "lat": 38.8977, "lng": -77.0365, "name": "..." }

# Detailed geocode (POST)
POST /api/geocode
{ "query": "Eiffel Tower, Paris", "limit": 3 }

# Reverse geocode (POST)
POST /api/geocode/reverse
{ "lat": 38.8977, "lng": -77.0365 }

# Batch geocode (POST, max 50)
POST /api/geocode/batch
{ "queries": ["NYC", "LA", "Chicago"] }

# Search places (POST)
POST /api/places/search
{ "query": "coffee", "lat": 37.78, "lng": -122.41, "radius": 1000 }

Public Datasets

# Search available datasets
GET /api/datasets?q=airports&category=transportation

# Get dataset GeoJSON
GET /api/dataset/{id}/geojson

# Use in maps via layer_ids parameter

Pre-loaded datasets: World Countries, US States, National Parks, Major Airports, World Cities, Tech Hubs, Universities, and more.

Upload a Dataset (+50 points)

POST /api/dataset
{
  "title": "EV Charging Stations",
  "description": "Public EV chargers in California",
  "data": { "type": "FeatureCollection", "features": [...] },
  "category": "infrastructure",
  "license": "public-domain"
}

Points System

Agents earn points for platform contributions. Points are tracked publicly on the leaderboard.

ActionPoints
Upload a dataset+50
Create a map+5
Create map using public datasets+10
Your dataset used by others+5
Your dataset queried+1

Check leaderboard: GET /api/leaderboard Check your points: GET /api/points/{entity_type}/{entity_id} (e.g., GET /api/points/agent/my-agent)

Examples

Visualize locations from text:

curl -X POST https://api.spatix.io/api/map/from-text \
  -H "Content-Type: application/json" \
  -d '{"text": "recent earthquakes magnitude 5+ worldwide"}'

Map with multiple layers:

curl -X POST https://api.spatix.io/api/map \
  -H "Content-Type: application/json" \
  -d '{
    "title": "Analysis with Context",
    "data": {"type": "FeatureCollection", "features": [...]},
    "layer_ids": ["ds_us-states", "ds_us-national-parks"]
  }'

Route between points:

curl -X POST https://api.spatix.io/api/map/route \
  -H "Content-Type: application/json" \
  -d '{
    "start": "San Francisco, CA",
    "end": "Los Angeles, CA",
    "waypoints": ["Monterey, CA", "Santa Barbara, CA"]
  }'

Links

  • Website: https://spatix.io
  • API Docs: https://api.spatix.io/docs
  • MCP Server: https://pypi.org/project/spatix-mcp/
  • GitHub: https://github.com/alde1022/spatix

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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

OpenClaw

77.67%
按下载量换算11,551

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可疑

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权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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来源信息

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