Mini Tokyo 3d

Community

ianlkl11234s

mini-tokyo-3d

Guide for integrating and customizing Mini Tokyo 3D - a real-time 3D digital map visualization of Tokyo's public transportation system. Use when building transit visualizations, embedding Tokyo train maps, or working with GTFS real-time data and Mapbox GL integration.

Overview

Publisher	ianlkl11234s
Repository	`mini-taiwan-learning-project`
Skill name	`mini-tokyo-3d`
Stars	193
Forks	14
Bundled files	3
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by ianlkl11234s on GitHub. Read the source before you install it.

Installation

Install the Mini Tokyo 3d AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/ianlkl11234s/mini-taiwan-learning-project/tree/main/skills/mini-tokyo-3d

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/ianlkl11234s/mini-taiwan-learning-project.git /tmp/mini-taiwan-learning-project
mkdir -p .claude/skills
cp -r /tmp/mini-taiwan-learning-project/skills/mini-tokyo-3d .claude/skills/mini-tokyo-3d

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mini Tokyo 3d in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Mini Tokyo 3d on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Mini Tokyo 3d is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Mini Tokyo 3D - Integration Guide

Real-time 3D visualization of Tokyo's public transportation system including trains, subways, and aircraft.

When to Use This Skill

Building real-time transportation visualizations
Integrating Tokyo transit data into web applications
Creating interactive 3D map experiences
Working with GTFS data and live train positions
Developing travel or tourism applications for Tokyo

Prerequisites

Required API Tokens

Mapbox Access Token - mapbox.com (Free tier: 50K/month)
ODPT Token - developer-tokyochallenge.odpt.org
Challenge 2025 Token - Also from ODPT portal

Quick Start

CDN Integration

html
<!DOCTYPE html>
<html>
<head>
  <meta charset="utf-8">
  <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/mini-tokyo-3d@latest/dist/mini-tokyo-3d.min.css" />
  <script src="https://cdn.jsdelivr.net/npm/mini-tokyo-3d@latest/dist/mini-tokyo-3d.min.js"></script>
  <style>body { margin: 0; } #map { width: 100vw; height: 100vh; }</style>
</head>
<body>
  <div id="map"></div>
  <script>
    const map = new mt3d.Map({
      container: 'map',
      accessToken: '<MAPBOX_TOKEN>',
      secrets: {
        odpt: '<ODPT_TOKEN>',
        challenge2025: '<CHALLENGE_2025_TOKEN>'
      }
    });
  </script>
</body>
</html>

NPM Integration

bash
npm install mini-tokyo-3d

javascript
import { Map } from 'mini-tokyo-3d';
import 'mini-tokyo-3d/dist/mini-tokyo-3d.min.css';

const map = new Map({
  container: 'map',
  accessToken: process.env.MAPBOX_TOKEN,
  secrets: {
    odpt: process.env.ODPT_TOKEN,
    challenge2025: process.env.CHALLENGE_2025_TOKEN
  }
});

Constructor Options

Option	Type	Default	Description
`container`	string	required	HTML element ID
`accessToken`	string	required	Mapbox token
`secrets`	Object	-	`{odpt, challenge2025}` tokens
`center`	[lng, lat]	[139.7670, 35.6814]	Initial center
`zoom`	number	14	Zoom level (0-22)
`pitch`	number	60	Tilt angle (0-85)
`bearing`	number	0	Rotation degrees
`lang`	string	browser	Language code
`ecoMode`	string	'normal'	'normal' or 'eco'
`plugins`	Array	[]	Plugin instances

Languages: ja, en, ko, zh-Hans, zh-Hant, th, ne, pt-BR, fr, es, de

Core API Reference

For detailed API documentation, see:

API Methods - Camera, selection, mode control
Events - Event types and handlers
Examples - Common use cases

Quick Method Reference

javascript
// Camera
map.flyTo({ center: [139.7454, 35.6586], zoom: 16 });
map.setCenter([lng, lat]);
map.setPitch(45);
map.setBearing(90);

// Selection & Tracking
map.setSelection('JR-East.Yamanote.Outbound.1234');  // Track train
map.setSelection('Shibuya');  // Select station
map.setTrackingMode('helicopter');  // 'position'|'back'|'front'|'helicopter'|'drone'|'bird'

// Modes
map.setViewMode('underground');  // 'ground' or 'underground'
map.setClockMode('playback');    // 'realtime' or 'playback'
map.setEcoMode('eco');           // 'normal' or 'eco'

// Events
map.on('load', () => console.log('Ready'));
map.on('selection', (e) => console.log(e.selection));

Plugins

html
<script src="https://cdn.jsdelivr.net/npm/mini-tokyo-3d-plugin-precipitation@latest/dist/mini-tokyo-3d-plugin-precipitation.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/mini-tokyo-3d-plugin-fireworks@latest/dist/mini-tokyo-3d-plugin-fireworks.min.js"></script>

javascript
const map = new mt3d.Map({
  plugins: [mt3dPrecipitation(), mt3dFireworks()]
});

Resources

GitHub: github.com/nagix/mini-tokyo-3d
Demo: minitokyo3d.com
License: MIT

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Mini Tokyo 3d AI skill do?

Why use Mini Tokyo 3d on TypingMind?

Because you install it once and use it with any model. Mini Tokyo 3d is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Mini Tokyo 3d in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ianlkl11234s/mini-taiwan-learning-project/tree/main/skills/mini-tokyo-3d. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Mini Tokyo 3d?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Mini Tokyo 3d?

As many as you like. As long as a model supports skills, you can use Mini Tokyo 3d with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mini Tokyo 3d AI skill free?

It is published on GitHub by ianlkl11234s. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Mini Tokyo 3D - Integration Guide

When to Use This Skill

Prerequisites

Required API Tokens

Quick Start

CDN Integration

NPM Integration

Constructor Options

Core API Reference

Quick Method Reference

Plugins

Resources

Bundled files

Frequently asked questions

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