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geomasterby K-DenseDataGitHub stars: 47.7k

Geomaster skill: what it does and how to install it

Guides geospatial research with Python GIS tools for satellite imagery, vector and raster analysis, coordinate systems, terrain, networks and spatial machine learning.

Summary generated from the skill's documentation.

Install

$ npx skills add K-Dense-AI/scientific-agent-skills --skill geomaster

Run it in a terminal. If your agent is already running, start a new session so it picks the skill up.

About this skill

What it does. Provides workflows for vector and raster GIS, remote sensing, terrain and network analysis, spatial statistics and spatial machine learning. It checks provenance, CRS and grid alignment, masks and calibration, and includes Python recipes for STAC discovery and efficient raster storage.

When to use it. For scientific Earth observation and GIS work with local files, cloud catalogues or network data. Authenticated services, desktop GIS and GPU training require separate setup.

History

Repo stars

47.7kAbout +18.9k since 9 Jul 2026

Before 1 Oct 2026 the curve is estimated from public event data.

Stars are counted for the whole repository, which holds 74 skills.

Show as a table
Repo stars by day
DateRepo stars
5 Oct 202647,652
4 Oct 202647,541
3 Oct 202647,444
2 Oct 202647,351
1 Oct 202647,271
24 Sept 2026 (estimated)46,976
17 Sept 2026 (estimated)46,257
10 Sept 2026 (estimated)41,836
3 Sept 2026 (estimated)30,545
27 Aug 2026 (estimated)29,347
20 Aug 2026 (estimated)29,160
13 Aug 2026 (estimated)29,027
6 Aug 2026 (estimated)28,947
30 Jul 2026 (estimated)28,894
23 Jul 2026 (estimated)28,894
16 Jul 2026 (estimated)28,841
9 Jul 2026 (estimated)28,708

Installs

1.7k

Tracking since . A chart appears once there are 7 days of data.

Installs via skills.sh

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