Sklearn Pipeline Builder - Auto-activating skill for ML Training. Triggers on: sklearn pipeline builder, sklearn pipeline builder Part of the ML Training skill category.
35
3%
Does it follow best practices?
Impact
95%
0.98xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./planned-skills/generated/07-ml-training/sklearn-pipeline-builder/SKILL.mdEnd-to-end sklearn pipeline with data preparation
Pipeline object used
100%
100%
ColumnTransformer used
100%
100%
Preprocessing inside Pipeline
100%
100%
Numerical scaling
100%
100%
Categorical encoding
100%
100%
Missing value handling
100%
100%
Model serialisation
100%
100%
Metrics written to file
100%
100%
Fit on training split only
100%
100%
Script executes
100%
100%
Hyperparameter tuning within sklearn pipeline
Search wraps Pipeline
100%
100%
Double-underscore parameter notation
100%
100%
Cross-validation specified
100%
100%
Model hyperparameters in search
100%
100%
Preprocessor hyperparameters in search
100%
100%
Best params written to file
100%
100%
Best score written to file
100%
100%
Fit on training split
0%
0%
Pipeline contains preprocessing
100%
100%
Best pipeline saved
100%
100%
Python script produced
100%
100%
Experiment tracking across model configurations
At least 3 configurations compared
100%
100%
sklearn Pipeline per run
100%
100%
Preprocessing inside Pipeline
100%
100%
Algorithm/model name logged
100%
100%
Hyperparameters logged per run
100%
100%
Metric(s) logged per run
100%
100%
Best configuration identified
63%
45%
Results in structured file
100%
100%
Consistent metric across runs
100%
100%
Best model saved
100%
100%
Python script produced
100%
100%
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Table of Contents
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.