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Xarray climate cube starter

Skill ma-compbio-lab/SkillFoundry/skills/earth-climate-and-geospatial-science/xarray-climate-cube-starter

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

Install
npx -y skills add ma-compbio-lab/SkillFoundry --skill xarray-climate-cube-starter

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

SKILL.md

1.1 KB, 254 tokens by cl100k_base, as published. Nobody here has run it

Xarray Climate Cube Starter

Use this skill to build a deterministic toy climate cube with Xarray and summarize simple spatiotemporal statistics.

What it does

  • Creates a monthly temperature cube with time, lat, and lon dimensions.
  • Computes annual mean temperature, seasonal range, per-latitude means, and the hottest month.
  • Returns compact JSON that is easy to reuse in downstream scientific-Python workflows.

When to use it

  • You need a local, no-auth starter for climate or environmental data handling.
  • You want a minimal example of labeled multidimensional array operations with Xarray.

Example

slurm/envs/scientific-python/bin/python skills/earth-climate-and-geospatial-science/xarray-climate-cube-starter/scripts/run_xarray_climate_cube.py \
  --out scratch/xarray/climate_cube_summary.json

Verification

  • Skill-local tests: python3 -m unittest discover -s skills/earth-climate-and-geospatial-science/xarray-climate-cube-starter/tests -p 'test_*.py'
  • Repository smoke: python3 -m unittest tests.smoke.test_frontier_domain_skills -v

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.