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Distributed Training Setup

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'Configure distributed training setup operations. Auto-activating skill

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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 distributed-training-setup --agent claude-code

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SKILL.md
---
name: distributed-training-setup
description: 'Configure distributed training setup operations. Auto-activating skill
  for ML Training.

  Triggers on: distributed training setup, distributed training setup

  Part of the ML Training skill category. Use when working with distributed training
  setup functionality. Trigger with phrases like "distributed training setup", "distributed
  setup", "distributed".

  '
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
---
# Distributed Training Setup

## Overview

This skill provides automated assistance for distributed training setup tasks within the ML Training domain.

## When to Use

This skill activates automatically when you:
- Mention "distributed training setup" in your request
- Ask about distributed training setup 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 distributed training setup
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 distributed training setup"
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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