Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Create beautiful maps in seconds. Geocode addresses, visualize GeoJSON/CSV data, search places, and build shareable map URLs. No GIS skills needed. Agents ea...
Create beautiful maps in seconds. Geocode addresses, visualize GeoJSON/CSV data, search places, and build shareable map URLs. No GIS skills needed. Agents ea...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
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 โ climb the leaderboard
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 โ they're display identifiers for attribution. To use JWT auth, include the header: Authorization: Bearer YOUR_JWT_TOKEN
# Create a map from GeoJSON โ 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>..."}
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 โ they are not secrets or credentials. The MCP server works without them.
Base URL: https://api.spatix.io Auto-generated OpenAPI docs: api.spatix.io/docs
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.
POST /api/map/from-text { "text": "coffee shops near Union Square, San Francisco", "title": "Coffee Near Union Square" }
POST /api/map/from-addresses { "title": "Office Locations", "addresses": ["123 Main St, NYC", "456 Market St, SF"], "connect_points": true }
POST /api/map/route { "start": "San Francisco, CA", "end": "Los Angeles, CA", "waypoints": ["Monterey, CA", "Santa Barbara, CA"], "title": "California Road Trip" }
# Simple geocode (GET โ 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 }
# 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.
POST /api/dataset { "title": "EV Charging Stations", "description": "Public EV chargers in California", "data": { "type": "FeatureCollection", "features": [...] }, "category": "infrastructure", "license": "public-domain" }
Agents earn points for platform contributions. Points are tracked publicly on the leaderboard. ActionPointsUpload a dataset+50Create a map+5Create map using public datasets+10Your dataset used by others+5Your 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)
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"] }'
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
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