opengeos

opengeos / geoai-skills

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A Claude Code plugin that adds GeoAI-powered skills for data exploration and session memory.

claude-skills deep-learning geoai geospatial
12
0
100% credibility
Found Mar 25, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A plugin for an AI coding chat tool that adds specialized abilities for inspecting geospatial files, downloading satellite imagery, processing maps, and detecting objects using AI.

How It Works

1
🗺️ Discover GeoAI Skills

While chatting with your AI assistant about maps and satellite pictures, you learn about this handy add-on that supercharges it with earth-exploring superpowers.

2
🔧 Add the Helper Tools

In your AI chat, you simply tell it to grab these special skills, and it adds them right away so you can start exploring.

3
✅ Get Your Setup Ready

You check once that your computer has the basics needed, like a map-handling toolbox, and it confirms everything is set for adventure.

4
📥 Grab Satellite Views

Pick a spot on earth by its coordinates, and watch as fresh aerial photos download straight to your project folder, ready to explore.

5
🔍 Spot Objects with AI

Point the smart detector at your images and ask it to find buildings, cars, or pools—it draws them out automatically like magic.

6
📋 Inspect and Learn

Examine your maps and findings easily, seeing details like sizes, locations, and stats, all in plain chat responses.

🎉 Unlock Earth Insights

Now you have powerful AI map analysis at your fingertips, turning satellite views into discoveries about the world below.

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AI-Generated Review

What is geoai-skills?

Geoai-skills is a Claude Code plugin that injects GeoAI-powered slash commands into your sessions for geospatial workflows. Fire off /geoai-skills:inspect-geo to probe raster CRS and stats, /geoai-skills:download-data for NAIP imagery by bbox, or /geoai-skills:detect-objects for AI building detection on satellite TIFFs—all leveraging the GeoAI Python library. It tackles context loss in long Claude Code CLI chats with session memory and state sharing for file paths.

Why is it gaining traction?

It glues geospatial grunt work—like STAC searches, raster clipping, and GroundedSAM segmentation—seamlessly into Claude Code docs and sessions, no tool-switching needed. The chaining hooks users: download via /geoai-skills:search-stac, inspect, then detect in one flow, with read-memories pulling prior bbox or model configs. Niche appeal for claude code skills in geo AI beats generic plugins.

Who should use this?

Remote sensing devs scripting satellite analysis in Claude Code CLI, GIS engineers downloading Overture Maps or NAIP for quick object detection prototypes, or urban modelers needing fast raster-to-vector conversions. Ideal for claude code users blending AI chats with geo data exploration.

Verdict

At 1.0% credibility and 12 stars, it's raw and macOS/Linux-only, but crisp claude code install via marketplace and detailed command docs make it a low-risk test for geo niches. Grab the claude code free plugin if geospatial AI sessions are your jam—solid starter, watch for Windows polish.

(198 words)

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