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roc-curve-plotter

Roc Curve Plotter - Auto-activating skill for ML Training. Triggers on: roc curve plotter, roc curve plotter Part of the ML Training skill category.

Overall
score

24%

Does it follow best practices?

Validation for skill structure

Install with Tessl CLI

npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill roc-curve-plotter
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Roc Curve Plotter

Purpose

This skill provides automated assistance for roc curve plotter tasks within the ML Training domain.

When to Use

This skill activates automatically when you:

  • Mention "roc curve plotter" in your request
  • Ask about roc curve plotter 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 roc curve plotter
  • Follows industry best practices and patterns
  • Generates production-ready code and configurations
  • Validates outputs against common standards

Example Triggers

  • "Help me with roc curve plotter"
  • "Set up roc curve plotter"
  • "How do I implement roc curve plotter?"

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.