# Topo Shadow Box

> Use this tool when you need to create 3D-printable topographic models with realistic terrain and features. It solves problems of visualizing real-world elevation data and geographic features in a tangible format, ideal for applications such as urban planning, geography education, or outdoor enthusiasts. The tool takes in location data and outputs multi-material 3D models in formats like 3MF, OpenSCAD, or SVG, with options for customizing output shapes and visualizing GPX tracks.

Canonical page: https://skillsregistry.net/skills/huslage-topo-shadow-box  
JSON: https://api.skillsregistry.net/v1/skills/huslage-topo-shadow-box

## Description

Generates 3D-printable topographic shadow boxes from real elevation data and OpenStreetMap features. Fetches terrain from AWS Terrain-RGB tiles, overlays roads, water bodies, and buildings, and exports to multi-material 3MF, OpenSCAD, or SVG formats. Supports GPX track visualization, multiple output shapes, and live 3D preview via Three.js.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/huslage-topo-shadow-box)
- **Repository:** <https://github.com/huslage/topo-shadow-box>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "huslage-topo-shadow-box"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/huslage-topo-shadow-box` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/huslage-topo-shadow-box/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt