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Spatial

Organization
duckdb
spatial

Answer questions about spatial data using DuckDB. Use when the user mentions locations, coordinates, lat/lng, distances, maps, addresses, "near", "within", "closest", geographic names, or spatial file formats (GeoJSON, Shapefile, GeoPackage, GPX, GeoParquet). Also triggers when the user wants to find places, buildings, or roads — Overture Maps provides free global data on S3 with zero API keys. Handles spatial joins, distance calculations, containment checks, density analysis, and format conversions for geographic data.

Overview

Publisherduckdb
Repositoryduckdb-skills
Skill namespatial
Stars
604
Forks
36
Bundled files
2
LicenseMIT
Links
  • 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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by duckdb on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/duckdb/duckdb-skills/tree/main/skills/spatial
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/duckdb/duckdb-skills.git /tmp/duckdb-skills
mkdir -p .claude/skills
cp -r /tmp/duckdb-skills/skills/spatial .claude/skills/spatial
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Spatial 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 Spatial 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 Spatial 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.

You are answering spatial questions using DuckDB's spatial extension and, when needed, Overture Maps as a free global data source.

Question or file: $0 Additional context: ${1:-}

Step 1 — Understand what the user needs

Classify the question:

PatternData sourceKey functions
"Find X near Y" (no user file)Overture Maps on S3ST_Distance_Spheroid, bbox filtering
"How far between A and B"Geocode or user dataST_Distance_Spheroid
"Which points fall inside polygons"User filesST_Contains
"Analyze this GeoJSON/Shapefile/GPX"User fileST_Read, measurement functions
"Show density/hotspots"User or Overture dataH3 hex binning
"Convert to GeoJSON/GeoPackage"User fileCOPY TO (FORMAT GDAL)
"Count buildings/roads in area"Overture Mapsbbox filtering + aggregation

If the question involves real-world places, POIs, buildings, roads, or boundaries and the user hasn't provided a file, use Overture Maps — read references/overture.md for S3 paths and schema.

For spatial function syntax, read references/functions.md.

Step 2 — Write and run the query

Always start with:

sql
LOAD spatial;
SET geometry_always_xy = true;

Add extensions as needed:

  • Overture/remote data: LOAD httpfs; CREATE SECRET (TYPE S3, PROVIDER config, REGION 'us-west-2');
  • H3 hex binning: INSTALL h3 FROM community; LOAD h3;

Key principles

bbox filtering first — When querying Overture, always filter on bbox.xmin/xmax/ymin/ymax before any spatial function. This uses Parquet predicate pushdown and avoids downloading the full dataset.

Always set geometry_always_xy = true — This ensures all spatial functions interpret coordinates as longitude, latitude (the standard for Overture, GeoJSON, and most data sources). Without it, spheroid functions assume latitude first and return wrong results.

Use spheroid functions for real-world distances — ST_Distance_Spheroid returns meters on the WGS84 ellipsoid. Plain ST_Distance uses planar coordinates and gives meaningless results for lat/lng. Important: spheroid functions (ST_Distance_Spheroid, ST_Area_Spheroid, etc.) require POINT_2D inputs, not generic GEOMETRY. Overture geometry columns are typed GEOMETRY('OGC:CRS84') and cannot be cast directly. Extract coordinates first:

sql
ST_Point(ST_X(geometry), ST_Y(geometry))::POINT_2D

CSV with lat/lng needs conversion — ST_Point(longitude, latitude) (longitude first). This is the most common gotcha.

Run the query in a single bash call:

bash
duckdb -c "
LOAD spatial;
<ADDITIONAL_SETUP>
<YOUR_QUERY>
"

Step 3 — Present results

  • For tabular results: show the data directly
  • For spatial results: consider exporting to GeoJSON for visualization (COPY TO 'result.geojson' WITH (FORMAT GDAL, DRIVER 'GeoJSON'))
  • For distance/area results: use human-readable units (km for large distances, m for small)
  • For density/hotspot results: describe the pattern and offer to export for visualization

If the query fails:

  • duckdb: command not found → delegate to /duckdb-skills:install-duckdb
  • Missing extension → INSTALL spatial; LOAD spatial; or INSTALL h3 FROM community; LOAD h3;
  • S3 access denied → suggest checking AWS credentials
  • No results with Overture → widen the bbox, check the category spelling, or try a broader search

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 Spatial AI skill do?

Answer questions about spatial data using DuckDB. Use when the user mentions locations, coordinates, lat/lng, distances, maps, addresses, "near", "within", "closest", geographic names, or spatial file formats (GeoJSON, Shapefile, GeoPackage, GPX, GeoParquet). Also triggers when the user wants to find places, buildings, or roads — Overture Maps provides free global data on S3 with zero API keys. Handles spatial joins, distance calculations, containment checks, density analysis, and format conversions for geographic data.

Why use Spatial on TypingMind?

Because you install it once and use it with any model. Spatial 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 Spatial in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/duckdb/duckdb-skills/tree/main/skills/spatial. 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 Spatial?

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 Spatial?

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

Is the Spatial AI skill free?

Yes. It is published on GitHub by duckdb under the MIT license. 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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