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hyperparameter-tuner

4.0

by jeremylongshore

74Favorites
76Upvotes
0Downvotes

Manage hyperparameter tuner operations. Auto-activating skill for ML Training. Triggers on: hyperparameter tuner, hyperparameter tuner Part of the ML Training skill category. Use when working with hyperparameter tuner functionality. Trigger with phrases like "hyperparameter tuner", "hyperparameter tuner", "hyperparameter".

hyperparameter-tuning

4.0

Rating

0

Installs

Machine Learning

Category

Quick Review

This skill is a template-based placeholder with minimal actual hyperparameter tuning content. The description is vague and circular (repeating 'hyperparameter tuner' without explaining what it does). Task knowledge is severely lacking—no concrete tuning strategies (grid search, random search, Bayesian optimization), no code examples, no integration with frameworks like Optuna, Ray Tune, or sklearn GridSearchCV. Structure is adequate as a simple overview document. Novelty is low because the skill provides no specialized functionality; a CLI agent could equally well respond to generic hyperparameter tuning requests without this skill. To improve: add concrete tuning algorithms, framework integrations, search space definitions, parallel execution strategies, and actual working code examples.

LLM Signals

Description coverage3
Task knowledge2
Structure5
Novelty3

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

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jeremylongshore

Skill Author

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