Install geoai

Skill opengeos/geoai-skills/skills/install-geoai

Verify that the geoai Python package is installed and functional. If not, provide installation instructions. Optionally check extra dependencies for deep learning models.From its SKILL.md

Install

npx -y skills add opengeos/geoai-skills --skill install-geoai

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

runs commandsInstructs the agent to run 3 commands, including `python3 -c "import geoai; print(f'geoai v{geoai.__version__}')"` and 2 more.

SKILL.md

2.2 KB, 524 tokens by cl100k_base, as published. Nobody here has run it

Arguments: $@

Step 1 -- Check if geoai is importable

python3 -c "import geoai; print(f'geoai v{geoai.__version__}')"

Success -> report the version and continue to Step 2 if --check or --extras was passed, otherwise stop.
ImportError -> go to Step 3.

Step 2 -- Check optional dependencies

If --check is present in $@, run a comprehensive dependency check:

python3 -c "
deps = [
    'geoai', 'geopandas', 'rasterio', 'rioxarray', 'shapely',
    'leafmap', 'numpy', 'pandas', 'matplotlib',
]
for dep in deps:
    try:
        mod = __import__(dep)
        ver = getattr(mod, '__version__', 'unknown')
        print(f'{dep}: {ver}')
    except ImportError:
        print(f'{dep}: NOT INSTALLED')
"

If --extras is present in $@, also check deep learning dependencies:

python3 -c "
import sys
dl_deps = ['torch', 'torchvision', 'transformers', 'timm', 'segmentation_models_pytorch']
for dep in dl_deps:
    try:
        mod = __import__(dep)
        ver = getattr(mod, '__version__', 'unknown')
        print(f'{dep}: {ver}')
    except ImportError:
        print(f'{dep}: NOT INSTALLED')

try:
    import torch
    if torch.cuda.is_available():
        print(f'CUDA: {torch.version.cuda} (device: {torch.cuda.get_device_name(0)})')
    else:
        print('CUDA: not available (CPU only)')
except ImportError:
    print('CUDA: torch not installed')
"

Report the results and note any missing packages.

Step 3 -- Installation instructions

If geoai is not installed, tell the user:

geoai is not installed. Install it with:
pip install geoai-py
For GPU-accelerated AI models (object detection, segmentation), also install PyTorch:
pip install torch torchvision
For the full set of optional dependencies:
pip install "geoai-py[extra]"

Stop after showing the instructions. Do not attempt to install automatically unless the user explicitly asks.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most quality gates skills give in 524 tokens

Counted across 1,524 of the 2,830 authors here whose files we hold, read 2026-09-06

Read full output and check exit codein 45 of 1524, across 40 files
Verify output confirms the claimin 44 of 1524, across 39 files
Identify the command that proves the claimin 43 of 1524, across 39 files
Execute the full verification commandin 36 of 1524, across 30 files
Produce a verification reportin 34 of 1524, across 18 files
Review git diff changesin 30 of 1524, across 16 files
Fix build failures immediatelyin 29 of 1524, across 9 files
Group findings by severityin 28 of 1524
State claim only with evidencein 27 of 1524, across 22 files
Verify regression tests with red-green cyclein 26 of 1524, across 22 files
Run the full test suitein 26 of 1524, across 25 files
Run test suite with coveragein 25 of 1524, across 10 files

Said here and by no other author read

Check if geoai is importable
Check optional dependencies if requested
Check deep learning dependencies if requested
Report missing packages

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.