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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 "distribute...
--- name: distributed-training-setup-a471ef195d55 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 | 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--- name: distributed-training-setup-a471ef195d55 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 | 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
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