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onnx-converter

3.4

by jeremylongshore

96Favorites
102Upvotes
0Downvotes

Convert onnx converter operations. Auto-activating skill for ML Deployment. Triggers on: onnx converter, onnx converter Part of the ML Deployment skill category. Use when working with onnx converter functionality. Trigger with phrases like "onnx converter", "onnx converter", "onnx".

onnx

3.4

Rating

0

Installs

Machine Learning

Category

Quick Review

This skill is severely underdeveloped. The description is vague and circular ('Convert onnx converter operations'), providing no clarity on what ONNX conversion actually entails (e.g., PyTorch->ONNX, TensorFlow->ONNX, model optimization). Task knowledge is essentially absent—there are no concrete steps, commands, or code examples for performing conversions. While the document structure is clear, the content is mostly generic boilerplate that could apply to any skill. The novelty is low because ONNX conversion commands (like `torch.onnx.export()` or `tf2onnx`) are straightforward and well-documented; without specific optimizations, validation logic, or complex workflow orchestration, this skill adds minimal value over a CLI agent using standard documentation.

LLM Signals

Description coverage2
Task knowledge1
Structure4
Novelty2

GitHub Signals

1,046
135
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0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

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jeremylongshore

Skill Author

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