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model-pruning-helper

3.4

by jeremylongshore

176Favorites
89Upvotes
0Downvotes

Assist with model pruning helper operations. Auto-activating skill for ML Deployment. Triggers on: model pruning helper, model pruning helper Part of the ML Deployment skill category. Use when working with model pruning helper functionality. Trigger with phrases like "model pruning helper", "model helper", "model".

model-pruning

3.4

Rating

0

Installs

Machine Learning

Category

Quick Review

This skill is severely underdeveloped. The description is circular and vague ('Assist with model pruning helper operations'), failing to explain what model pruning actually entails or what specific capabilities the skill provides. There is no concrete task knowledge—no pruning algorithms, strategies (magnitude-based, structured vs unstructured), frameworks (PyTorch, TensorFlow), or implementation guidance. The structure is clear but only because the content is so thin. Novelty is low since model pruning is a well-documented ML technique that a CLI agent could address with general knowledge. The skill reads like a template that was never filled in with actual domain expertise. To be useful, it needs specific pruning methodologies, code for analyzing model layers, actual pruning implementations, evaluation metrics (accuracy vs sparsity tradeoffs), and concrete examples with real frameworks.

LLM Signals

Description coverage1
Task knowledge1
Structure4
Novelty2

GitHub Signals

1,063
137
8
0
Last commit 2 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

jeremylongshore avatar
jeremylongshore

Skill Author

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