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overpassql-map

Convert Japanese prompts into Overpass QL queries for OpenStreetMap data.

1|Updated Feb 15, 2026
Search Tags:#geospatial#maplibre#data-fetch#osm#overpass-ql#japanese-prompt
One-click install
npx skills add https://github.com/yuiseki/NEREID --skill overpassql-map
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: overpassql-map
Source: https://github.com/yuiseki/NEREID/tree/main/agents/gemini-workspace/.gemini/skills/overpassql-map
Command: npx skills add https://github.com/yuiseki/NEREID --skill overpassql-map

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Japanese natural language prompts are converted into precise Overpass QL queries to fetch OpenStreetMap data and render maps with MapLibre, streamlining map creation from plain language input.

Core Features & Use Cases

  • Prompt-to-query: structure a Japanese prompt into an Overpass QL query that targets a specified area and features.
  • Data retrieval: fetch OSM data and output in usable formats for visualization.
  • Visualization: render interactive maps with MapLibre based on retrieved data.
  • Use cases: quickly generate district-level maps for planning, education, or demonstrations from natural language prompts.

Quick Start

Provide a Japanese prompt describing an area and feature, and the skill will structure it, generate Overpass QL, fetch data, and render a MapLibre map.

Frequently Asked Questions about overpassql-map

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert a Japanese natural language prompt into an Overpass QL query?▼

To convert a Japanese prompt into Overpass QL, the skill structures the text input to target specified areas and features, outputting valid query syntax to fetch OpenStreetMap data.

Can I visualize OpenStreetMap data using MapLibre directly from a text prompt?▼

Yes, you can visualize OpenStreetMap data using MapLibre directly from a text prompt by fetching OSM data with the generated query and rendering it into an interactive map.

Does the generated Overpass QL include a timeout for fetching OpenStreetMap data?▼

Yes, the generated Overpass QL includes a 30000 ms timeout to manage query execution when fetching OpenStreetMap data, ensuring deterministic results and easy integration.

How does the Overpass QL query handle area nesting for Tokyo districts?▼

The Overpass QL query handles area nesting by explicitly managing the hierarchical relationship between Tokyo wards and Tokyo city, ensuring targeted data retrieval across Tokyo districts.

What is the best way to generate district-level maps for Tokyo from plain language input?▼

The best way to generate district-level maps for Tokyo from plain language input is by structuring the prompt into an Overpass QL query, fetching OpenStreetMap data, and rendering it with MapLibre.

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