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duckdb-map

Analyze tabular and spatial data with DuckDB SQL into map-ready GeoJSON outputs.

1|Updated Feb 15, 2026
Search Tags:#workflow#analytics#sql#map#duckdb#geospatial
One-click install
npx skills add https://github.com/yuiseki/NEREID --skill duckdb-map
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: duckdb-map
Source: https://github.com/yuiseki/NEREID/tree/main/agents/gemini-workspace/.gemini/skills/duckdb-map
Command: npx skills add https://github.com/yuiseki/NEREID --skill duckdb-map

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

DuckDB enables local analytical SQL for tabular and geospatial data, making it easy to prepare map-ready results without heavy external dependencies.

Core Features & Use Cases

  • Local analytical SQL with DuckDB for tabular and geospatial data.
  • Convert SQL results into map-ready formats (GeoJSON, coordinate columns) for visualization.
  • Use cases include ad-hoc geospatial analysis, rapid map prototype workflows, and reproducible query-to-map pipelines.

Quick Start

Load your input data, write a SQL query with DuckDB, and export the results as map-ready data.

Frequently Asked Questions about duckdb-map

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

FAQPage Schema
How do I prepare geospatial data for map visualization using SQL?▼

You can prepare geospatial data for map visualization by running local analytical SQL queries with DuckDB to summarize tabular data and export map-ready outputs like GeoJSON or coordinate columns.

Can I use DuckDB for local geospatial analysis without external dependencies?▼

Yes, DuckDB enables local analytical SQL for tabular and geospatial data, allowing you to prepare map-ready results without heavy external dependencies or complex server setups.

What is the best way to convert SQL query results into map-ready formats?▼

The best way to convert SQL results into map-ready formats is to load your input data into DuckDB, write a SQL query for spatial summarization, and export the deterministic results as GeoJSON.

Does DuckDB work for reproducible query-to-map pipelines?▼

DuckDB works well for reproducible query-to-map pipelines by providing a deterministic local workflow to execute SQL queries and generate mapping-ready outputs for rapid map prototyping.

When should I use DuckDB for map workflows instead of other analytics tools?▼

Use DuckDB for map workflows when you need ad-hoc geospatial analysis or rapid map prototype workflows locally, and want to avoid heavy external dependencies while using SQL for data summarization.

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