Agent skill · Design & Presentation

nemo-automodel-model-onboarding

Guide for onboarding new model architectures into NeMo AutoModel, including architecture discovery, implementation patterns, registration, and validation.

NVIDIAgithub.com/NVIDIAGitHub ↗
claude-codecodexApache-2.0
Install
npx skills add NVIDIA/skills --skill nemo-automodel-model-onboarding --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 9
SKILL.md size: 19 KB
Bundled scripts: none
Declared author: NVIDIA
Path: skills/nemo-automodel-model-onboarding/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,789
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Adding Model Support to NeMo AutoModel ## Purpose This skill guides implementation of new model architectures in NeMo AutoModel. Follow the five phases in order. <!-- NVSkills signature refresh requested after PR #2998 (2026-07-31). --> ## Instructions When answering an onboarding question, keep the response in this order: 1. Classify the architecture from `config.json`. 2. Name the exact implem

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About this skill
What does the nemo-automodel-model-onboarding skill do?

Guide for onboarding new model architectures into NeMo AutoModel, including architecture discovery, implementation patterns, registration, and validation.

How do I install it?

Run `npx skills add NVIDIA/skills --skill nemo-automodel-model-onboarding --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 NVIDIA/skills, a repository with 2,789 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.

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