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".
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This skill is extremely generic and provides almost no actionable information about ONNX conversion. The description is vague ('Convert onnx converter operations' is circular), and there are no concrete steps, code examples, or technical guidance for converting models to/from ONNX format. The structure is reasonable with clear sections, but they contain only placeholder content. A CLI agent would not know what specific ONNX conversion tasks this skill handles (PyTorch to ONNX? TensorFlow to ONNX? optimization? validation?), what tools to use (onnx, tf2onnx, pytorch.onnx?), or how to perform conversions. The skill adds minimal value over a general-purpose agent with access to ONNX documentation, as it lacks domain-specific workflows, conversion scripts, troubleshooting for common ONNX issues, or model-specific conversion patterns.
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