hyperparameter-tuner

v1.0.0

Optimize hyperparameters using grid/random/bayesian search

Claude Code

By Claude Code PluginsLicense: MIT11 GitHub starsUpdated 3 weeks ago

Directory evidence

Runtimes: Claude Code
Parsed components: 0 skill or MCP entries
Source updated: Sep 25, 2026
Manifest status: Canonical path parsed

The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →

Install hyperparameter-tuner for Claude Code

Installs for the current user

claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install hyperparameter-tuner-4@agent-plugin-marketplace

Paste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.

The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.

Get the source manually

$ git clone https://github.com/jeremylongshore/plugins-nixtla

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is 010-archive/backups-20251108/plugin-enhancements/plugin-backups/hyperparameter-tuner_20251019_191544/.

Plugin files

010-archive/backups-20251108/plugin-enhancements/plugin-backups/hyperparameter-tuner_20251019_191544/

└── .claude-plugin/plugin.json

Plugin manifests1

010-archive/backups-20251108/plugin-enhancements/plugin-backups/hyperparameter-tuner_20251019_191544/.claude-plugin/plugin.json

{
  "name": "hyperparameter-tuner",
  "version": "1.0.0",
  "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"
  ]
}