Use this skill to featurize simple formulas with Matminer and fit a deterministic toy regression model for materials-property prediction.
Scanned 9/8/2026
Install to Claude Code
npx -y skills add ma-compbio-lab/SkillFoundry --skill matminer-property-regression-starter --agent claude-codeInstalls into .claude/skills of the current project.
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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
```bash
./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.
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