jeremylongshore

hyperparameter-tuner

@jeremylongshore/hyperparameter-tuner
jeremylongshore
1,004
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Updated 1/18/2026
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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".

Installation

$skills install @jeremylongshore/hyperparameter-tuner
Claude Code
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Details

Pathskills/07-ml-training/hyperparameter-tuner/SKILL.md
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Scoped Name@jeremylongshore/hyperparameter-tuner

Usage

After installing, this skill will be available to your AI coding assistant.

Verify installation:

skills list

Skill Instructions


name: "hyperparameter-tuner" description: | 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". allowed-tools: "Read, Write, Edit, Bash(python:), Bash(pip:)" version: 1.0.0 license: MIT author: "Jeremy Longshore jeremy@intentsolutions.io"

Hyperparameter Tuner

Overview

This skill provides automated assistance for hyperparameter tuner tasks within the ML Training domain.

When to Use

This skill activates automatically when you:

  • Mention "hyperparameter tuner" in your request
  • Ask about hyperparameter tuner patterns or best practices
  • Need help with machine learning training skills covering data preparation, model training, hyperparameter tuning, and experiment tracking.

Instructions

  1. Provides step-by-step guidance for hyperparameter tuner
  2. Follows industry best practices and patterns
  3. Generates production-ready code and configurations
  4. Validates outputs against common standards

Examples

Example: Basic Usage Request: "Help me with hyperparameter tuner" Result: Provides step-by-step guidance and generates appropriate configurations

Prerequisites

  • Relevant development environment configured
  • Access to necessary tools and services
  • Basic understanding of ml training concepts

Output

  • Generated configurations and code
  • Best practice recommendations
  • Validation results

Error Handling

ErrorCauseSolution
Configuration invalidMissing required fieldsCheck documentation for required parameters
Tool not foundDependency not installedInstall required tools per prerequisites
Permission deniedInsufficient accessVerify credentials and permissions

Resources

  • Official documentation for related tools
  • Best practices guides
  • Community examples and tutorials

Related Skills

Part of the ML Training skill category. Tags: ml, training, pytorch, tensorflow, sklearn

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