Xarray Climate Cube Starter
SkillAI & modelsUse this skill to build a deterministic toy climate cube with Xarray and summarize simple spatiotemporal statistics.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Xarray Climate Cube Starter skill
About this capability
A framework for discovering, compiling, and validating reusable skills for scientific agents.
What this skill tells your AI
The instructions your AI receives, as published by ma-compbio-lab/skillfoundry in skills/earth-climate-and-geospatial-science/xarray-climate-cube-starter/SKILL.md and read by ahel’s review.
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, andlondimensions. - 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
Signals
- GitHub stars
- 39
- Forks
- 5
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
xarray-climate-cube-starter- Source
- github.com/ma-compbio-lab/skillfoundry