Claude Code Plugins

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Install Skill

Shared

Installs to .agents/skills, used by Codex, Amp, Warp, Cursor, OpenCode, and more.

CodexAmp
Warp
CursorOpenCode
Cline
Gemini CLI
GitHub Copilot
Personal

Available across projects.

$npx skills-installer add @jeremylongshore/claude-code-plugins-plus-skills/optuna-study-creator --client shared
Project

Writes to .agents/skills.

$npx skills-installer add @jeremylongshore/claude-code-plugins-plus-skills/optuna-study-creator -p --client shared
Note: Review the skill instructions before using it.

SKILL.md

name optuna-study-creator
description Create optuna study creator operations. Auto-activating skill for ML Training. Triggers on: optuna study creator, optuna study creator Part of the ML Training skill category. Use when working with optuna study creator functionality. Trigger with phrases like "optuna study creator", "optuna creator", "optuna".
allowed-tools Read, Write, Edit, Bash(python:*), Bash(pip:*)
version 1.0.0
license MIT
author Jeremy Longshore <jeremy@intentsolutions.io>
tags ai, machine-learning
compatibility Designed for Claude Code

Optuna Study Creator

Overview

This skill provides automated assistance for optuna study creator tasks within the ML Training domain.

When to Use

This skill activates automatically when you:

  • Mention "optuna study creator" in your request
  • Ask about optuna study creator 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 optuna study creator
  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 optuna study creator" 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

Error Cause Solution
Configuration invalid Missing required fields Check documentation for required parameters
Tool not found Dependency not installed Install required tools per prerequisites
Permission denied Insufficient access Verify 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