Manage learning rate scheduler operations. Auto-activating skill for ML Training. Triggers on: learning rate scheduler, learning rate scheduler Part of the ML Training skill category. Use when working with learning rate scheduler functionality. Trigger with phrases like "learning rate scheduler", "learning scheduler", "learning".
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
npx agent-skills-cli listSkill Instructions
name: "learning-rate-scheduler" description: | Manage learning rate scheduler operations. Auto-activating skill for ML Training. Triggers on: learning rate scheduler, learning rate scheduler Part of the ML Training skill category. Use when working with learning rate scheduler functionality. Trigger with phrases like "learning rate scheduler", "learning scheduler", "learning". allowed-tools: "Read, Write, Edit, Bash(python:), Bash(pip:)" version: 1.0.0 license: MIT author: "Jeremy Longshore jeremy@intentsolutions.io" compatible-with: claude-code
Learning Rate Scheduler
Overview
This skill provides automated assistance for learning rate scheduler tasks within the ML Training domain.
When to Use
This skill activates automatically when you:
- Mention "learning rate scheduler" in your request
- Ask about learning rate scheduler patterns or best practices
- Need help with machine learning training skills covering data preparation, model training, hyperparameter tuning, and experiment tracking.
Instructions
- Provides step-by-step guidance for learning rate scheduler
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
Examples
Example: Basic Usage Request: "Help me with learning rate scheduler" 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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