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Model Export Helper

Listed
jeremylongshore·vlatest·ai-ml·MIT

Simplifies exporting trained models from various frameworks to common formats like ONNX for easy deployment.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add jeremylongshore/tons-of-skills-marketplace --skill model-export-helper -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

jeremylongshore

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

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scanned

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Not scanned. none of the 396 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as jeremylongshore/claude-code-plugins-plus-skills.
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About this skill

What it does

This skill assists in exporting machine learning models to various formats. It can handle different model types and export them as ONNX, CoreML, or TensorFlow Lite files. The tool simplifies the often complex process of converting models for deployment on diverse platforms and devices.

When to use it

  • You need to deploy a PyTorch model to an iOS device using CoreML.
  • You want to optimize a TensorFlow model for mobile devices with TensorFlow Lite.
  • You're integrating a machine learning model into a cross-platform application requiring ONNX format.
  • You require a standardized export of your model for sharing or further processing.

Key capabilities

  • Exports models to ONNX format
  • Exports models to CoreML format
  • Exports models to TensorFlow Lite format
  • Supports various model types (unspecified)

Example prompts

  • "Export this PyTorch model to ONNX."
  • "Convert the current TensorFlow model into a CoreML file for iOS deployment."
  • "Generate a TensorFlow Lite version of my machine learning model."

Tips & gotchas

The skill's effectiveness depends on the underlying framework and model architecture. Ensure your environment has the necessary dependencies (e.g., PyTorch, TensorFlow) installed before using this skill.