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location-service

Model and query recycling center locations by integrating Kakao Local results with PostGIS spatial queries.

3|Updated Oct 27, 2025
Search Tags:#postgresql#api#geospatial#location#postgis#hybrid-search#kakao
One-click install
npx skills add https://github.com/eco2-team/backend --skill location-service
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: location-service
Source: https://github.com/eco2-team/backend/tree/main/.claude/skills/location-service
Command: npx skills add https://github.com/eco2-team/backend --skill location-service

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill guides developers working on geospatial features and location-based services to build, search, and enrich location data for recycling centers and Kakao Map integrations.

Core Features & Use Cases

  • Hybrid location search: combine Kakao Local results with PostGIS queries for nearby centers.
  • Nearby centers & filtering: support radius-based queries and category filtering for recycling facilities.
  • Autocompletion & details: provide suggestions and detailed center data for UI integrations.
  • Use Case: When adding a new recycling center, use the skill to model coordinates, categories, and endpoint contracts for the Location API.

Quick Start

Use the location-service skill to scaffold the API structure and wire the Kakao integration with the Postgres-backed store.

Frequently Asked Questions about location-service

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

FAQPage Schema
How do I build a hybrid location search combining Kakao Local results with PostGIS queries?▼

PostGIS spatial queries support radius-based filtering and category constraints for recycling facilities. You can execute nearby-center discovery through domain-driven layers that abstract the KakaoLocalClientPort, returning detailed location data and coordinates for UI integrations.

How do I integrate Kakao Local API with a PostgreSQL database for geospatial features?▼

Modeling location data for recycling centers involves defining coordinates, categories, and endpoint contracts for the Location API. You structure geospatial features using domain-driven layers that separate the Kakao integration from the Postgres-backed store to scaffold the API effectively.

Can I use PostGIS for radius-based queries and category filtering on nearby facilities?▼

Hybrid location search combines Kakao Local API results with PostGIS-backed spatial queries to merge external map data with local database records. This approach enables nearby-center discovery by applying radius-based filtering and category constraints across both data sources.

Do I need PostgreSQL and PostGIS to implement the location-service skill for nearby-center discovery?▼

Kakao Local API integration with PostgreSQL uses a clean architecture with domain-driven layers and a KakaoLocalClientPort abstraction. This pipeline models coordinates and category data for recycling centers while maintaining OpenTelemetry observability across the location service endpoints.

What is the best way to model location data for recycling centers and map integrations?▼

PostGIS spatial queries support radius-based filtering and category constraints for recycling facilities. You can execute nearby-center discovery through domain-driven layers that abstract the KakaoLocalClientPort, returning detailed location data and coordinates for UI integrations.

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