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feature-importance-analyzer

Feature Importance Analyzer - Auto-activating skill for ML Training. Triggers on: feature importance analyzer, feature importance analyzer Part of the ML Training skill category.

Install with Tessl CLI

npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill feature-importance-analyzer
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19%

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SKILL.md
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Feature Importance Analyzer

Purpose

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.

Capabilities

  • 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

Example Triggers

  • "Help me with feature importance analyzer"
  • "Set up feature importance analyzer"
  • "How do I implement feature importance analyzer?"

Related Skills

Part of the ML Training skill category. Tags: ml, training, pytorch, tensorflow, sklearn

Repository
github.com/jeremylongshore/claude-code-plugins-plus-skills
Last updated
Created

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.