writing-skills
writing-skills
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Explorar Skills
Despliegue y operaciones · SKILL.md
onnx-converter
onnx-converterConvert 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".
Independent GitHub snapshot · Automated classification · Original documentation governs
Documentación de la Skill
GitHubname: onnx-converter description: '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".
' allowed-tools: Read, Write, Edit, Bash(cmd:*), Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:
- ai
- mlops compatibility: Designed for Claude Code
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
- Provides step-by-step guidance for onnx converter
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- 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
| Error | Cause | Solution |
|---|---|---|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify 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