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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"

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

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