nvidia-nemo
NVIDIA NeMo framework for building and training conversational AI models. Use for NeMo Retriever models, RAG (Retrieval-Augmented Generation), embedding models, enterprise search, and multilingual retrieval systems.
npx skills add majiayu000/claude-skill-registry --skill nvidia-nemo --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Nvidia-Nemo Skill Comprehensive assistance with nvidia-nemo development, generated from official documentation. ## When to Use This Skill This skill should be triggered when: - Working with nvidia-nemo - Asking about nvidia-nemo features or APIs - Implementing nvidia-nemo solutions - Debugging nvidia-nemo code - Learning nvidia-nemo 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/`: - **api.md** - Api documentation - **other.md** - Other documentation - **rag.md** - Rag documentation - **retriever.md** - Retriever 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 o
- When to Use This Skill
- Quick Reference
- Common Patterns
- Reference Files
- Working with This Skill
- For Beginners
- For Specific Features
- For Code Examples
- Resources
- references/
- scripts/
- assets/
- Notes
- Updating
What does the nvidia-nemo skill do?
NVIDIA NeMo framework for building and training conversational AI models. Use for NeMo Retriever models, RAG (Retrieval-Augmented Generation), embedding models, enterprise search, and multilingual retrieval systems.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill nvidia-nemo --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.