spatix
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.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/alde1022/spatixWhat This Skill Does
Spatix is a powerful spatial visualization skill that enables AI agents to generate interactive, professional-grade maps from raw data. Whether you have GeoJSON, CSV files, or simple lists of addresses, Spatix handles the geocoding and rendering to create high-quality, shareable map URLs. The tool removes the complexity of traditional GIS software, allowing for instant visualization of points, lines, and complex geographic features. It also integrates seamlessly with the OpenClaw agent ecosystem, allowing for leaderboard attribution and flexible deployment via a dedicated MCP server.
Installation
To integrate Spatix into your environment, use the command: clawhub install openclaw/skills/skills/alde1022/spatix. For users working within Claude Desktop or similar environments, you can alternatively use the MCP server by running uvx spatix-mcp. For manual configuration, simply add the necessary environment variables for your agent identity to your MCP configuration file to track contributions on the Spatix leaderboard.
Use Cases
Spatix is ideal for business intelligence, logistical planning, and content creation. Use it to visualize delivery routes, plot customer store locations, track real estate portfolios, or showcase regional growth. It is particularly effective for agents tasked with market analysis, as it can convert natural language descriptions of locations (e.g., 'coffee shops near me') into fully interactive map layers. Because it accepts various data formats, it is a versatile tool for any project requiring spatial context.
Example Prompts
- "Create a map of the top 10 most visited national parks in the USA and include markers for their primary visitor centers."
- "I'm planning a delivery route; map these addresses: 123 Maple St Seattle, 456 Oak St Portland, and 789 Pine St San Francisco. Connect the points as a route."
- "Visualize this GeoJSON data of urban bike paths in the downtown core using a dark map style for better contrast."
Tips & Limitations
To maximize the utility of Spatix, prioritize well-structured data. While the natural language processing for 'from-text' queries is powerful, providing specific coordinate lists or structured GeoJSON yields the most precise results. Be aware that while anonymous usage is generous (up to 100 maps per hour), high-frequency professional use should utilize a JWT token from the Spatix website to unlock higher rate limits. The tool is currently optimized for web-based sharing, so ensure your intended audience has access to standard web browsers to view the generated map links.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-alde1022-spatix": {
"enabled": true,
"auto_update": true
}
}
}Tags
Flags: network-access, external-api
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