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brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or planning anything new, in software or out of it (a talk, a business, a renovation).
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feature-importance-analyzer
feature-importance-analyzerAnalyze feature importance analyzer operations. Auto-activating skill for ML Training. Triggers on: feature importance analyzer, feature importance analyzer Part of the ML Training skill category. Use when analyzing or auditing feature importance analyzer. Trigger with phrases like "feature importance analyzer", "feature analyzer", "analyze feature importan…
Independent GitHub snapshot · Automated classification · Original documentation governs
Documentación de la Skill
GitHubname: "feature-importance-analyzer" description: | Analyze feature importance analyzer operations. Auto-activating skill for ML Training. Triggers on: feature importance analyzer, feature importance analyzer Part of the ML Training skill category. Use when analyzing or auditing feature importance analyzer. Trigger with phrases like "feature importance analyzer", "feature analyzer", "analyze feature importance r". allowed-tools: "Read, Write, Edit, Bash(python:), Bash(pip:)" version: 1.0.0 license: MIT author: "Jeremy Longshore jeremy@intentsolutions.io"
Feature Importance Analyzer
Overview
This skill provides automated assistance for feature importance analyzer tasks within the ML Training domain.
When to Use
This skill activates automatically when you:
- Mention "feature importance analyzer" in your request
- Ask about feature importance analyzer 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 feature importance analyzer
- 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 feature importance analyzer" 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