Openstreet Map

Use when you need OpenStreetMap geocoding or annotated map generation for a set of places.

OpenStreet Map Skill (for OpenClaw)

This skill provides two capabilities:

1. Query one place's location information.
2. Render an annotated map image for multiple places with numbered markers and a legend.

Prerequisites

• Python 3.10+
• Internet access (Nominatim + OSM tile endpoints)

Optional environment variable:

• OPENSTREET_MAP_HOST: Override only the openstreetmap.org host suffix in the default endpoints. Recommended form: openstreetmap.org. If http:// or https:// is provided, only the host part is used.

When set, the skill uses:

• Geocode endpoint: https://nominatim.${OPENSTREET_MAP_HOST}/search
• Tile endpoint: https://tile.${OPENSTREET_MAP_HOST}/{z}/{x}/{y}.png

Examples:

• OPENSTREET_MAP_HOST=openstreetmap.org -> https://nominatim.openstreetmap.org/search
• OPENSTREET_MAP_HOST=https://openstreetmap.org -> https://tile.openstreetmap.org/{z}/{x}/{y}.png

Install

pip install -r requirements.txt

Capability 1: Query location info

python tools/openstreet_skill.py locate --query "The Bund Shanghai" --limit 1

Output is JSON including display_name, lat, lon, and type metadata.

Capability 2: Render annotated map

Input JSON file format (array):

[
  {"name": "Point A", "lat": 31.2304, "lon": 121.4737},
  {"name": "Point B", "query": "The Bund Shanghai"}
]

Render command:

python tools/openstreet_skill.py render \
  --points-file examples/points.json \
  --output output/annotated_map.png \
  --width 1600 \
  --height 800

Render command with base64 JSON input:

python tools/openstreet_skill.py render \
  --points-base64 "W3sibmFtZSI6IlBvaW50IEEiLCJsYXQiOjMxLjIzMDQsImxvbiI6MTIxLjQ3Mzd9LHsibmFtZSI6IlBvaW50IEIiLCJxdWVyeSI6IlRoZSBCdW5kIFNoYW5naGFpIn1d" \
  --output output/annotated_map.png

Optional: render command returning base64-encoded image (no file written):

python tools/openstreet_skill.py render \
  --points-base64 "..." \
  --base64

Optional: render command writing file and returning base64:

python tools/openstreet_skill.py render \
  --points-base64 "..." \
  --output output/annotated_map.png \
  --base64

render input/output options:

• --points-file / --points-base64: points source (mutually exclusive, one required).
• --output: save image to path. This is the default and recommended output mode.
• --base64: include base64-encoded PNG in JSON stdout under image_base64. Use only when the caller cannot access output files directly.
• At least one of --output or --base64 must be provided.

Recommended: Default to file output with --output. Do not use --base64 unless file delivery is impossible, because base64 image payloads consume a large number of tokens.

python tools/openstreet_skill.py render \
  --points-file examples/points.json \
  --output output/annotated_map.png

Behavior:

• Selects a suitable zoom level to fit all points.
• Downloads OSM tiles and stitches them into one map image.
• Draws numbered markers on each place.
• Appends a three-column legend under the map showing index and place name.
• Saves final image to --output path if specified.

JSON output structure:

{
  "zoom": 14,
  "size": { "width": 1200, "height": 880 },
  "places": [
    { "index": 1, "name": "Point A", "lat": 31.2304, "lon": 121.4737 }
  ],
  "output": "output/annotated_map.png"
}

• output: present only when --output is provided.
• image_base64: present only when --base64 is set. PNG image encoded as standard base64. Avoid this in normal flows because it significantly increases token usage.

Notes for OpenClaw integration

• Expose these two CLI actions as callable tools in OpenClaw:
  • locate: maps to python tools/openstreet_skill.py locate ...
  • render: maps to python tools/openstreet_skill.py render ...
• For render, default to --output file delivery instead of --base64 to keep responses small.
• Return JSON stdout to the caller and treat non-zero exit code as failure.
• Respect OSM usage policy by not sending high-frequency requests.