@rish2jain/nvidia-nim

---
name: nvidia-nim
description: NVIDIA NIM (NVIDIA Inference Microservices) for deploying and managing AI models. Use for NIM microservices, model inference, API integration, and building AI applications with NVIDIA's inference infrastructure.
---

# Nvidia-Nim Skill

Comprehensive assistance with nvidia-nim development, generated from official documentation.

## When to Use This Skill

This skill should be triggered when:
- Working with nvidia-nim
- Asking about nvidia-nim features or APIs
- Implementing nvidia-nim solutions
- Debugging nvidia-nim code
- Learning nvidia-nim best practices

## Quick Reference

### Common Patterns

*Quick reference patterns will be added as you use the skill.*

## Reference Files

This skill includes comprehensive documentation in `references/`:

- **microservices.md** - Microservices documentation
- **other.md** - Other documentation

Use `view` to read specific reference files when detailed information is needed.

## Working with This Skill

### For Beginners
Start with the getting_started or tutorials reference files for foundational concepts.

### For Specific Features
Use the appropriate category reference file (api, guides, etc.) for detailed information.

### For Code Examples
The quick reference section above contains common patterns extracted from the official docs.

## Resources

### references/
Organized documentation extracted from official sources. These files contain:
- Detailed explanations
- Code examples with language annotations
- Links to original documentation
- Table of contents for quick navigation

### scripts/
Add helper scripts here for common automation tasks.

### assets/
Add templates, boilerplate, or example projects here.

## Notes

- This skill was automatically generated from official documentation
- Reference files preserve the structure and examples from source docs
- Code examples include language detection for better syntax highlighting
- Quick reference patterns are extracted from common usage examples in the docs

## Updating

To refresh this skill with updated documentation:
1. Re-run the scraper with the same configuration
2. The skill will be rebuilt with the latest information