mcpField
G
geo-toolkit

geo-toolkit

github.com/dkyazzentwatwaData & databases124130 installsUpdated 29w ago
Repository

About geo-toolkit

geo-toolkit is a geographic data preparation and inspection skill for people working with addresses and map data. It groups focused tools for parsing, geocoding, conversion, distance measurement, territory mapping, and visualization, with guidance on assumptions and accuracy.

Key features

  1. 01Address parsing and normalization
  2. 02Geocoding and location lookup
  3. 03Distance calculation
  4. 04KML and GeoJSON conversion
  5. 05Territory mapping and visualization

Use cases

  1. 01Normalize addresses before mapping
  2. 02Convert geographic file formats
  3. 03Estimate distances between locations
  4. 04Visualize geographic data and territories

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill geo-toolkit

After installing, type/geo-toolkitin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

agents/
openai.yaml
scripts/
address_parser.py
distance_calc.py
geo_visualizer.py
geocoder.py
kml_geojson_converter.py
requirements.txt
territory_mapper.py

Details

From the project README

Geo Toolkit

Use this suite for practical geographic data preparation and inspection.

Included Tools

  • address_parser.py
  • distance_calc.py
  • geo_visualizer.py
  • geocoder.py
  • kml_geojson_converter.py
  • territory_mapper.py

Workflow

  1. Determine whether the task is parsing, conversion, lookup, measurement, or visualization.
  2. Normalize addresses or file formats before doing downstream mapping work.
  3. Use the smallest tool that solves the request and return any geocoding or projection caveats.

Guardrails

  • Treat geocoding results as approximate unless the source data is already precise.
  • Call out coordinate system or file-format assumptions when converting map artifacts.

Comments

Markdown supported