CtrlK
BlogDocsLog inGet started
Tessl Logo

training-machine-learning-models

This skill trains machine learning models using automated workflows. It analyzes datasets, selects appropriate model types (classification, regression, etc.), configures training parameters, trains the model with cross-validation, generates performance metrics, and saves the trained model artifact. Use this skill when the user requests to "train" a model, needs to evaluate a dataset for machine learning purposes, or wants to optimize model performance. The skill supports common frameworks like scikit-learn.

90

1.07x
Quality

49%

Does it follow best practices?

Impact

98%

1.07x

Average score across 9 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./backups/skills-migration-20251108-070147/plugins/ai-ml/ml-model-trainer/skills/ml-model-trainer/SKILL.md
SKILL.md
Quality
Evals
Security

No security issues found

Scanned

Repository
jeremylongshore/claude-code-plugins-plus-skills
Audited
Security analysis
Snyk

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.