CtrlK
CommunityDocumentationLog inGet started
Tessl Logo

model-checkpoint-manager

Model Checkpoint Manager - Auto-activating skill for ML Training. Triggers on: model checkpoint manager, model checkpoint manager Part of the ML Training skill category.

Install with Tessl CLI

npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill model-checkpoint-manager
What are skills?

Overall
score

19%

Does it follow best practices?

Validation for skill structure

SKILL.md
Review
Evals

Model Checkpoint Manager

Purpose

This skill provides automated assistance for model checkpoint manager tasks within the ML Training domain.

When to Use

This skill activates automatically when you:

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

Example Triggers

  • "Help me with model checkpoint manager"
  • "Set up model checkpoint manager"
  • "How do I implement model checkpoint manager?"

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.