hyperparameter-tuner

v1.21.0

Optimize hyperparameters using grid/random/bayesian search

Claude Code1 skill

by Claude Code PluginsMIT2.6kupdated 9 hours ago

Source

$ git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills

Clone the source, then follow the repository's marketplace instructions for your runtime. The plugin root is plugins/ai-ml/hyperparameter-tuner/ inside the repository.

Layout

plugins/ai-ml/hyperparameter-tuner/

├── .claude-plugin/plugin.json
└── skills/tuning-hyperparameters/SKILL.md

Skills1

tuning-hyperparametersskills/tuning-hyperparameters/SKILL.md

Optimize machine learning model hyperparameters using grid search, random search, or Bayesian optimization. Finds best parameter configurations to maximize performance. Use when asked to "tune hyperparameters" or "optimize model". Trigger with relevant phrases based on skill purpose.

Manifests1

plugins/ai-ml/hyperparameter-tuner/.claude-plugin/plugin.json

{
  "name": "hyperparameter-tuner",
  "version": "1.21.0",
  "description": "Optimize hyperparameters using grid/random/bayesian search",
  "author": {
    "name": "Claude Code Plugins",
    "email": "[email protected]"
  },
  "repository": "https://github.com/jeremylongshore/claude-code-plugins",
  "license": "MIT",
  "keywords": [
    "hyperparameters",
    "optimization",
    "tuning",
    "search",
    "agent-skills"
  ]
}