CtrlK
CommunityDocumentationLog inGet started
Tessl Logo

early-stopping-callback

Early Stopping Callback - Auto-activating skill for ML Training. Triggers on: early stopping callback, early stopping callback Part of the ML Training skill category.

Overall
score

23%

Does it follow best practices?

Validation for skill structure

Install with Tessl CLI

npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill early-stopping-callback
What are skills?
SKILL.md
Review
Evals

Early Stopping Callback

Purpose

This skill provides automated assistance for early stopping callback tasks within the ML Training domain.

When to Use

This skill activates automatically when you:

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

Example Triggers

  • "Help me with early stopping callback"
  • "Set up early stopping callback"
  • "How do I implement early stopping callback?"

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.