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Rasterio windowed raster preprocessing starter

Skill ma-compbio-lab/SkillFoundry/skills/earth-climate-and-geospatial-science/rasterio-windowed-raster-preprocessing-starter

A framework for discovering, compiling, and validating reusable skills for scientific agents.

Install
npx -y skills add ma-compbio-lab/SkillFoundry --skill rasterio-windowed-raster-preprocessing-starter

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

SKILL.md

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Rasterio Windowed Raster Preprocessing Starter

Use this skill to generate a tiny toy raster with Rasterio, extract a window, downsample it, and summarize the preprocessing result in compact JSON.

What it does

  • Creates a deterministic single-band GeoTIFF with a simple EPSG:4326 transform.
  • Reads a 2x2 window from the raster.
  • Produces a 2x2 average-resampled version of the whole raster.
  • Emits a compact JSON summary with bounds, means, and extracted values.

When to use it

  • You need a local starter for raster preprocessing or remote-sensing data handling.
  • You want a minimal example of rasterio.open, Window, and average resampling.
  • You want a deterministic JSON artifact before moving on to larger raster pipelines.

Example

slurm/envs/geospatial/bin/python skills/earth-climate-and-geospatial-science/rasterio-windowed-raster-preprocessing-starter/scripts/run_rasterio_windowed_preprocessing.py \
  --out scratch/geospatial/rasterio_preprocessing_summary.json

Verification

  • Skill-local tests: python3 -m unittest discover -s skills/earth-climate-and-geospatial-science/rasterio-windowed-raster-preprocessing-starter/tests -p 'test_*.py'
  • Expected summary: window_values == [[6.0, 7.0], [10.0, 11.0]]

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