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Matminer property regression starter

Skill ma-compbio-lab/SkillFoundry/skills/materials-science-and-engineering/matminer-property-regression-starter

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

Install
npx -y skills add ma-compbio-lab/SkillFoundry --skill matminer-property-regression-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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Matminer Property Regression Starter

Use this skill to featurize simple formulas with Matminer and fit a deterministic toy regression model for materials-property prediction.

What This Skill Does

  • converts formulas into composition features with Matminer
  • fits a small deterministic regression model
  • reports feature count, train fit quality, and holdout predictions

When To Use It

  • when a user asks for a starter on materials-property prediction
  • when you need a lightweight local template before connecting to a larger materials dataset
  • when you want a runnable example for the materials-property-prediction taxonomy leaf

Run

./slurm/envs/materials/bin/python skills/materials-science-and-engineering/matminer-property-regression-starter/scripts/run_matminer_property_regression.py --out scratch/materials/property_regression_summary.json

Notes

  • This is a toy local regression starter, not a benchmark-quality predictive model.
  • Pair it with larger curated datasets later if you need scientific performance claims.

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.