# Hyperparameter Tuning

> Optimize model hyperparameters for best performance

- Skill: `lgrappag/hyperparameter-tuning` (Agent Skill)
- Install (CLI): `npx skillmds@latest add lgrappag/hyperparameter-tuning`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lgrappag/hyperparameter-tuning/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: LgrappaG (https://skillmd.com/u/lgrappag)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/lgrappag/hyperparameter-tuning

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# Hyperparameter Tuning

Optimize model hyperparameters for best performance

## Risk Level
**MEDIUM**

## Core Rules
- Use proper search strategies
- validate results
- test generalization

## Response Pattern

### When Using This Skill
1. Search hyperparameters
2. validate results
3. test performance
4. Ensure performance meets requirements

## Usage Contexts
- Model optimization
- parameter tuning

## What NOT to Do
- Poor tuning
- overfitting
- excessive search time

## Key Requirements
- Understand the use cases before application
- Follow the documented response pattern
- Validate results in the target environment
- Monitor for performance impact

## Further Learning
Review related skills and documentation for deeper understanding of related systems and best practices.