Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· Developer Tools
Map Grabber
Fetch OpenStreetMap vector data (streets, buildings) for an address and export to SVG, GeoPackage, or DXF for CAD/Rhino.
skill openclawclawhub Free
Fetch OpenStreetMap vector data (streets, buildings) for an address and export to SVG, GeoPackage, or DXF for CAD/Rhino.
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, clawhub.json, requirements.txt, scripts/grab_map.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
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.
Upgrade existing
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.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.1.2
Provenance
- Publisher
- QROST
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Map Grabber
Get site base maps from OpenStreetMap: provide an address, receive street network and optional building footprints as vector data (SVG, GeoPackage, or DXF) for use in CAD or Rhino.
Dependencies
osmnx (OSM data and graph; requires geopandas, networkx) ezdxf (optional; for DXF export) Setup: OpenClaw does not install Python packages automatically. After installing this skill, run once: pip install -r requirements.txt (from the skill folder). If a script fails with ModuleNotFoundError, install the missing package (osmnx pulls geopandas; for DXF add ezdxf).
Grab map by address
Parameters: address: Address or place name (e.g. "SoHo, New York" or "123 Main St, Los Angeles"). --dist: Radius in meters around the point (default 500). --buildings: Also download building footprints. --svg: Output path for SVG (street network plot). --png: Output path for PNG (same map as image; use for Telegram or preview). --gpkg: Output path for GeoPackage (streets and optionally buildings as layers). --dxf: Output path for DXF (requires ezdxf; for CAD/Rhino). At least one of --svg, --png, --gpkg, or --dxf is required. # PNG for Telegram + GeoPackage python3 scripts/grab_map.py "Times Square, New York" --dist 400 --png site.png --gpkg site.gpkg # With buildings and DXF python3 scripts/grab_map.py "Shanghai Tower, Shanghai" --dist 500 --buildings --png site.png --gpkg site.gpkg --dxf site.dxf Output: street network (and optionally buildings) in the requested formats.
Sending images to Telegram
Used from the OpenClaw Telegram conversation. To show the user the map: run the script with --png <path>.png (e.g. --png site.png), then send that PNG to the conversation via the OpenClaw message/media tool. Use --png (not only --svg) when the user expects an image in chat. OpenClaw allowed paths: The message tool only sends files from allowed dirs (~/.openclaw/media/, ~/.openclaw/agents/, or /tmp). Use e.g. --png ~/.openclaw/media/site.png or --png /tmp/site.png; do not use the skill install directory or sending will fail. Agent behavior: When the user asks for a site map, base map, or OSM map (by address or place name), run the script directly using exec: call grab_map.py with the given address, --png <path>.png with <path> under an allowed dir (and optional --dist, --buildings), then send the generated PNG to the user. Do not ask for confirmation; execute and return the image and a short confirmation.
Examples
User: "Get me a site base map for 123 Main St" or "ζδΈεΌ θΏδΈͺε°εηεΊε°εΊεΎ." Action: Run grab_map.py "123 Main St" --png /tmp/site.png (or similar path), then send the PNG to the user and confirm. User: "Get me a site base map for 123 Main St as SVG and DXF." Action: Run grab_map.py with that address, --svg, --dxf, and optionally --png for chat; return the file paths and confirmation. User: "I need OSM data for this address with building footprints for Rhino." Action: Run with --buildings, --gpkg and optionally --dxf; if they want an image in chat, also use --png and send it.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts1 Config1 Files
- SKILL.md
- scripts/grab_map.py
- clawhub.json
- requirements.txt