tuning-hyperparameters

2 stars
17

This skill enables Claude to optimize machine learning model hyperparameters using grid search, random search, or Bayesian optimization. It is used when the user requests hyperparameter tuning, model optimization, or improvement of model performance. The skill analyzes the current context, generates code for the specified search strategy, handles data validation and errors, and provides performance metrics. Trigger terms include "tune hyperparameters," "optimize model," "grid search," "random...

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Installation for Agentic Skill

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skilz install jeremylongshore/claude-code-plugins-nixtla/tuning-hyperparameters
skilz install jeremylongshore/claude-code-plugins-nixtla/tuning-hyperparameters --agent opencode
skilz install jeremylongshore/claude-code-plugins-nixtla/tuning-hyperparameters --agent codex
skilz install jeremylongshore/claude-code-plugins-nixtla/tuning-hyperparameters --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

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Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/jeremylongshore/claude-code-plugins-nixtla
2. Copy the agent skill directory:
cp -r claude-code-plugins-nixtla/archive/backups-20251108/skills-migration-20251108-070147/plugins/ai-ml/hyperparameter-tuner/skills/hyperparameter-tuner ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

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Agentic Skill Details

Stars
2
Type
Technical
Meta-Domain
data ai
Primary Domain
machine learning
Market Score
17

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