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model-checkpoint-manager

3.4

by jeremylongshore

114Favorites
65Upvotes
0Downvotes

Manage model checkpoint manager operations. Auto-activating skill for ML Training. Triggers on: model checkpoint manager, model checkpoint manager Part of the ML Training skill category. Use when working with model checkpoint manager functionality. Trigger with phrases like "model checkpoint manager", "model manager", "model".

checkpoints

3.4

Rating

0

Installs

Machine Learning

Category

Quick Review

This skill is severely underdeveloped. The description is vague and circular ('manage model checkpoint manager operations'), failing to explain what checkpoint management entails (saving, loading, versioning, pruning checkpoints). There is virtually no task knowledge—no concrete steps, code examples, or scripts for checkpoint operations like saving model states, implementing early stopping, or managing storage. The structure is clear but hollow, with placeholders that lack substance. Novelty is low because checkpoint management is a well-defined ML task that a general CLI agent could handle with standard libraries. The skill reads as a template that was never filled in with actual checkpoint management functionality.

LLM Signals

Description coverage2
Task knowledge1
Structure4
Novelty2

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

jeremylongshore avatar
jeremylongshore

Skill Author

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