Matminer Property Regression Starter
SkillAI & modelsUse this skill to featurize simple formulas with Matminer and fit a deterministic toy regression model for materials-property prediction.
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 Matminer Property Regression 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/materials-science-and-engineering/matminer-property-regression-starter/SKILL.md and read by ahel’s review.
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-predictiontaxonomy 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.
Signals
- GitHub stars
- 39
- Forks
- 5
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
matminer-property-regression-starter- Source
- github.com/ma-compbio-lab/skillfoundry