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Mixed Precision Trainer

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'Manage mixed precision trainer operations. Auto-activating skill for

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  • Added September 21, 2026
ai-agentspythongobashdocumentation

Works with

  • claude code

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A100/100

Scanned September 21, 2026

npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill mixed-precision-trainer --agent claude-code

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SKILL.md
---
name: mixed-precision-trainer
description: 'Manage mixed precision trainer operations. Auto-activating skill for
  ML Training.

  Triggers on: mixed precision trainer, mixed precision trainer

  Part of the ML Training skill category. Use when working with mixed precision trainer
  functionality. Trigger with phrases like "mixed precision trainer", "mixed trainer",
  "mixed".

  '
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
---
# Mixed Precision Trainer

## Overview

This skill provides automated assistance for mixed precision trainer tasks within the ML Training domain.

## When to Use

This skill activates automatically when you:
- Mention "mixed precision trainer" in your request
- Ask about mixed precision trainer 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 mixed precision trainer
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 mixed precision trainer"
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

Attribution

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