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onnx-converter

onnx-converter

github.com/jeremylongshoreDevelopment2.9k56 installsUpdated 2d ago
Repository

About onnx-converter

onnx-converter is a skill for ML deployment work, offering guidance on converter practices, code and configuration generation, and output validation.

Key features

  1. 01Step-by-step converter guidance
  2. 02Best-practice recommendations
  3. 03Code and configuration generation
  4. 04Output validation

Use cases

  1. 01Understanding ONNX converter patterns
  2. 02Preparing model-serving configurations
  3. 03Reviewing ML deployment outputs

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill onnx-converter

After installing, type/onnx-converterin Claude Code to confirm it loaded.

Details

From the project README

Onnx Converter

Overview

This skill provides automated assistance for onnx converter tasks within the ML Deployment domain.

When to Use

This skill activates automatically when you:

  • Mention "onnx converter" in your request
  • Ask about onnx converter patterns or best practices
  • Need help with machine learning deployment skills covering model serving, mlops pipelines, monitoring, and production optimization.

Instructions

  1. Provides step-by-step guidance for onnx converter
  2. Follows industry best practices and patterns
  3. Generates production-ready code and configurations
  4. Validates outputs against common standards

Examples

Example: Basic Usage Request: "Help me with onnx converter" Result: Provides step-by-step guidance and generates appropriate configurations

Prerequisites

  • Relevant development environment configured
  • Access to necessary tools and services
  • Basic understanding of ml deployment concepts

Output

  • Generated configurations and code
  • Best practice recommendations
  • Validation results

Error Handling

ErrorCauseSolution
Configuration invalidMissing required fieldsCheck documentation for required parameters
Tool not foundDependency not installedInstall required tools per prerequisites
Permission deniedInsufficient accessVerify credentials and permissions

Resources

  • Official documentation for related tools
  • Best practices guides
  • Community examples and tutorials

Related Skills

Part of the ML Deployment skill category. Tags: mlops, serving, inference, monitoring, production

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