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".
3.4
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Machine Learning
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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.
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