Agent Skills

Scikit-learn (Classical ML reference)

scientific-agent-skills

Comprehensive scikit-learn guidance for classification, regression, clustering, preprocessing, model evaluation, and production-ready ML pipelines.

CV Model Training

cv-train-stack

Review, run, validate and audit computer vision model training with checks for dataset quality, preprocessing consistency, augmentation, and deployment validati

Scikit-learn Reference

superpowers

Comprehensive, practical reference for classical machine learning workflows using scikit-learn: preprocessing, pipelines, supervised and unsupervised algorithms

Scikit-learn — Machine Learning Reference

awesome-skills-cn

Comprehensive scikit-learn guidance for classical machine learning: supervised/unsupervised algorithms, preprocessing, pipelines, evaluation and production-read

Scikit-learn Reference — Classical ML Workflows

auto-college

Authoritative guidance for classical machine learning with scikit-learn: preprocessing, pipelines, model selection, evaluation, and example scripts for producti

MS-DIAL metabolomics preprocessing

bioskills

Headless MS-DIAL preprocessing for LC/GC workflows: peak picking, MS2Dec deconvolution, alignment and honest feature-table import into R or Python.