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Pydoe3 experimental design starter

Skill ma-compbio-lab/SkillFoundry/skills/statistical-and-machine-learning-foundations-for-science/pydoe3-experimental-design-starter

A framework for discovering, compiling, and validating reusable skills for scientific agents.From the repository description

Install
npx -y skills add ma-compbio-lab/SkillFoundry --skill pydoe3-experimental-design-starter

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

SKILL.md

0.8 KB, 170 tokens by cl100k_base, as published. Nobody here has run it

pyDOE3 Experimental Design Starter

Use this skill to generate a tiny full-factorial design from bounded factor definitions and summarize the resulting experiment table.

What This Skill Does

  • reads a small JSON factor specification
  • generates a 2^k full-factorial design with pyDOE3
  • maps coded levels to real factor bounds
  • reports factor names and generated rows for downstream experiment planning

Run

./slurm/envs/statistics/bin/python skills/statistical-and-machine-learning-foundations-for-science/pydoe3-experimental-design-starter/scripts/run_pydoe3_experimental_design.py --input skills/statistical-and-machine-learning-foundations-for-science/pydoe3-experimental-design-starter/examples/toy_factors.json --out scratch/statistics/experimental_design_summary.json

What ships with it: 7 files

5.4 KB alongside SKILL.md, 2 of them executable

assets/

examples/

scripts/

tests/

Keep looking

Skills are one crate of 325,949. 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.