Agent skill

Nemotron Add Model

by NVIDIA-NeMo in NVIDIA-NeMo/Nemotron

Onboard a new model family (Nemotron or third-party) into skills/ — paper chunks, recipe summaries, context packs, and model card.

Apache-2.0Auto-check passedAI & LLM Engineering

Install Nemotron Add Model

skills CLI
$ npx skills add NVIDIA-NeMo/Nemotron --skill nemotron-add-model -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install NVIDIA-NeMo/Nemotron nemotron-add-model --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/NVIDIA-NeMo/Nemotron.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/nemotron-add-model .claude/skills/nemotron-add-model && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
nemotron-add-model
GitHub stars
2.1k
Token cost
~2.2k tokens
SKILL.md length
1,000 words
Files
1
Skills in repo
10
Repo updated
First seen
Licence
Apache-2.0

At a glance

Onboard a new model family (Nemotron or third-party) into skills/ — paper chunks, recipe summaries, context packs, and model card.

  • Works in 4 steps: Orient → Generate → Validate → …
  • A contributor wants downstream skills like /nemotron-customize to be able to route to a new model
  • SKILL.md covers Tone, Workflow, Boundaries and When Stuck, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Nemotron Add Model is an agent skill from NVIDIA-NeMo/Nemotron. Onboard a new model family (Nemotron or third-party) into skills/ — paper chunks, recipe summaries, context packs, and model card. Use when a contributor wants downstream skills like /nemotron-customize to be able to route to a new model.

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Model hubs and datasets. The repository describes itself as: Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models. The licence is Apache-2.0.

When your agent uses it

  • A contributor wants downstream skills like /nemotron-customize to be able to route to a new model
  • Tasks that involve Model hubs and datasets

Example prompts

  • “/nemotron-add-model”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Orient
  2. Generate
  3. Validate
  4. Summarize

What it can do on your machine

Read from SKILL.md and the folder at commit ca8c409. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Nemotron Add Model loads about 2.2k tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 1,000 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from NVIDIA-NeMo/Nemotron at commit ca8c409, republished under its Apache-2.0 licence (© NVIDIA-NeMo). 1,000 words, ~2,165 tokens.

Download SKILL.mdSave it as .claude/skills/nemotron-add-model/SKILL.md (or your agent's skills folder).
name
nemotron-add-model
description
Onboard a new model family (Nemotron or third-party) into skills/ — paper chunks, recipe summaries, context packs, and model card. Use when a contributor wants downstream skills like /nemotron-customize to be able to route to a new model.

nemotron-add-model

Invocation: /nemotron-add-model.

You help contributors add a new model-family knowledge base to the Nemotron plugin ecosystem without getting the paper chunks, recipe summaries, context pack, or registration wrong.

Tone

Concise. Checklist-first. Ask for missing facts before writing files.

  • Status updates: ≤2 lines
  • Prefer bullets and tables over long prose
  • Say exactly which files you will create or change
  • Do not guess model sizes, architecture labels, recipe coverage, or benchmark claims
  • Always prefer the tech report HTML page over a PDF when both exist
  • Never skip validation

Workflow

Four phases. Always in this order.

1. Orient

Read these first:

  • skills/nemotron-add-step/SKILL.md
  • skills/nemotron-nano3/SKILL.md
  • skills/nemotron-nano3/INDEX.md
  • skills/nemotron-nano3/paper/_overview.md
  • skills/nemotron-nano3/recipes/overview.md
  • skills/nemotron-nano3/context/index.toml
  • skills/nemotron-nano3/context/quick-reference.md
  • skills/nemotron-super3/SKILL.md
  • skills/nemotron-super3/INDEX.md
  • .claude-plugin/marketplace.json

Then ask the contributor:

  1. What is the model family name? (slug used in skills/nemotron-{model}/, for example ultra or nano4)
  2. What is the tech report URL? (prefer arXiv HTML or another HTML page)
  3. Does it have recipes in src/nemotron/recipes/?
  4. What is the architecture type? (dense, MoE, hybrid Mamba-Transformer, or another precise label)
  5. What sizes are available?
  6. Which existing steps support this model? (Do any step.toml files need new [[models]] entries later?)

Use these repo conventions:

  • The skill directory is skills/nemotron-{model}/.
  • SKILL.md is a retrieval skill, not a code generator.
  • Follow the same Locate → Retrieve → Cite pattern used by nemotron-nano3 and nemotron-super3.
  • INDEX.md is the knowledge map for the whole skill.
  • paper/*.md files use YAML frontmatter with at least: paper, model, section, paper_sections, title, summary, key_facts, related_steps, currency.
  • Paper chunks are question-oriented summaries of the report, not raw pasted sections.
  • recipes/*.md files summarize the public repo path, what it reproduces, what it does not, and include source_path plus a Reproduce with nemotron-customize section.
  • context/index.toml maps intents to the smallest useful file; context/quick-reference.md is the compact handoff sheet.
  • currency is frozen for paper chunks and evolving for recipe summaries.
  • Adding [[models]] entries to step manifests is a separate task. Do not modify step manifests here.
2. Generate

Create the skill directory:

  • skills/nemotron-{model}/

Create these files:

  • skills/nemotron-{model}/SKILL.md
  • skills/nemotron-{model}/INDEX.md
  • skills/nemotron-{model}/model-card.md
  • skills/nemotron-{model}/paper/ question-oriented report chunks
  • skills/nemotron-{model}/recipes/ recipe summaries if recipes exist
  • skills/nemotron-{model}/context/index.toml
  • skills/nemotron-{model}/context/quick-reference.md
  • .claude-plugin/marketplace.json entry for the new skill

Generation rules:

  1. Copy the live structure and tone from nemotron-nano3 or nemotron-super3; do not invent a new layout.
  2. Start paper/ with _overview.md, then split the rest by question type: architecture, data, pretraining, SFT, RL, evaluation, safety, quantization, or another report-faithful grouping.
  3. Base the paper chunks on the HTML report when available. Only fall back to PDF if no HTML source exists.
  4. model-card.md should cover identity, released sizes/checkpoints, intended use, and headline results or deployment notes.
  5. If recipes exist, add recipes/overview.md plus one file per public stage or major sub-stage.
  6. If recipes do not exist, still create recipes/overview.md, but make it explicit that no reproduction recipes are available yet.
  7. Each recipe summary should include:
    • source_path
    • what the repo exposes today
    • what it does not reproduce from the paper
    • a ## Reproduce with nemotron-customize section
  8. context/index.toml should include at least: identity, architecture, one training intent, one evaluation intent, and a build/customize handoff intent.
  9. context/quick-reference.md should include model identity, sizes, architecture, public checkpoints, recipe map, and a /nemotron-customize step map or Explorer-mode fallback notes.
  10. Register the new skill in .claude-plugin/marketplace.json.
3. Validate

Check all of these before finishing:

  • Every paper/*.md file has valid YAML frontmatter
  • Every paper chunk sets currency: "frozen"
  • INDEX.md references all paper/ and recipes/ files
  • context/index.toml and context/quick-reference.md both exist
  • recipes/overview.md exists even if no recipes are available
  • If recipe stage files exist, each one includes source_path and Reproduce with nemotron-customize
  • .claude-plugin/marketplace.json is valid JSON

If validation fails:

  1. Fix the missing file, frontmatter, or index/reference issue
  2. Re-check the specific failure
  3. Do not present the result until the knowledge base is internally consistent
Show full SKILL.md (378 more words)Show less
4. Summarize

Show:

  • What was created
  • Every file added or changed
  • Whether recipe summaries were created or intentionally kept minimal
  • Which paper chunks were added
  • The new marketplace entry name and description
  • Any follow-up work deferred, such as future [[models]] entries in step manifests

Boundaries

Do
  • Reuse the live Nano3/Super3 knowledge-base structure
  • Prefer HTML report sources
  • Keep paper chunks question-oriented and recipe summaries repo-oriented
  • Create the context pack files every time
  • Register the new skill in the marketplace metadata
Don’t
  • Don’t modify existing model skills just to normalize wording
  • Don’t modify step.toml files here
  • Don’t invent benchmark numbers, checkpoints, or unsupported recipe stages
  • Don’t skip recipes/overview.md when recipes are missing
  • Don’t blur paper claims and public recipe behavior
  • Don’t use the PDF when a good HTML source exists

When Stuck

  • If the model slug is unclear, stop and ask what the invocation should be.
  • If the report has no obvious section structure, chunk by user question type rather than mirroring section numbers mechanically.
  • If recipe coverage is partial, document the real public stages and say what is missing.
  • If step support is unclear, list the likely step ids in quick-reference.md but leave step.toml edits for a separate task.
  • If the only source is a PDF, confirm that no HTML version exists before using it.
  • After two failed validation loops, stop and report the exact file inconsistency.

Calibration Examples

Example 1 — model with recipes

User:

Add a new model-family knowledge base for Nano4. It has an arXiv HTML report and public recipes under src/nemotron/recipes/nano4/.

Assistant:

I’ll confirm the model slug, report URL, architecture type, released sizes, and which existing steps already support Nano4.

Then I’ll create:

  • skills/nemotron-nano4/SKILL.md
  • skills/nemotron-nano4/INDEX.md
  • skills/nemotron-nano4/model-card.md
  • skills/nemotron-nano4/paper/*.md
  • skills/nemotron-nano4/recipes/overview.md plus stage summaries
  • skills/nemotron-nano4/context/index.toml
  • skills/nemotron-nano4/context/quick-reference.md
  • a marketplace entry

I’ll keep paper chunks frozen, recipe summaries evolving, and I will not edit any step.toml files in this task.

Example 2 — model without recipes

User:

Add a paper-only knowledge base for Ultra. There is no public src/nemotron/recipes/ultra/ directory yet.

Assistant:

I’ll still build the full knowledge base shell, but recipes/ will stay minimal.

I’ll create:

  • skills/nemotron-ultra/SKILL.md
  • skills/nemotron-ultra/INDEX.md
  • skills/nemotron-ultra/model-card.md
  • skills/nemotron-ultra/paper/*.md
  • skills/nemotron-ultra/recipes/overview.md stating that no reproduction recipes are available yet
  • skills/nemotron-ultra/context/index.toml
  • skills/nemotron-ultra/context/quick-reference.md
  • a marketplace entry

I will not invent stage summaries or pretend the paper is already reproducible from the public repo.

© NVIDIA-NeMo, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/nemotron-add-model of NVIDIA-NeMo/Nemotron.

Open the folder on GitHubat commit ca8c409

Compare with similar skills

Nemotron Add Model next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Nemotron Add Model compared with similar skills
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Hugging Face Local Model Evalshuggingface/skills11k2 repos~1.6kAutomated safety check: PassApache-2.0
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Questions about Nemotron Add Model

What does Nemotron Add Model do?

Onboard a new model family (Nemotron or third-party) into skills/ — paper chunks, recipe summaries, context packs, and model card. Nemotron Add Model is an agent skill from NVIDIA-NeMo/Nemotron. Onboard a new model family (Nemotron or third-party) into skills/ — paper chunks, recipe summaries, context packs, and model card.

When should I use Nemotron Add Model?

Nemotron Add Model fits situations like: A contributor wants downstream skills like /nemotron-customize to be able to route to a new model; tasks that involve Model hubs and datasets.

How do I install Nemotron Add Model in Claude Code?

Run `npx skills add NVIDIA-NeMo/Nemotron --skill nemotron-add-model -a claude-code`. Or copy the skill folder (skills/nemotron-add-model in NVIDIA-NeMo/Nemotron) into .claude/skills/nemotron-add-model in your project. Claude Code loads it when a task matches its description.

How do I install Nemotron Add Model in Codex?

Run `npx skills add NVIDIA-NeMo/Nemotron --skill nemotron-add-model -a codex`. Or copy the skill folder (skills/nemotron-add-model in NVIDIA-NeMo/Nemotron) into .agents/skills/nemotron-add-model in your project. Codex loads it when a task matches its description.

Can I use Nemotron Add Model in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA-NeMo/Nemotron --skill nemotron-add-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nemotron-add-model, .gemini/skills/nemotron-add-model, .github/skills/nemotron-add-model and .opencode/skills/nemotron-add-model in your project.

What does Nemotron Add Model need to run?

SKILL.md names no scripts, command-line tools or credentials: Nemotron Add Model is instructions for the agent only.

Does Nemotron Add Model access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Nemotron Add Model safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Nemotron Add Model use?

Nemotron Add Model is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Nemotron Add Model use?

About 2.2k tokens (SKILL.md is roughly 8.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Nemotron Add Model?

Skills that share tags, products or a category with Nemotron Add Model: LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars), SageMaker Serving Image Selection (huggingface/skills, 11k stars), Hugging Face Local Model Evals (huggingface/skills, 11k stars) and Upload Post Image (huggingface/blog, 3.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nemotron Add Model?

NVIDIA-NeMo (a GitHub organization) maintains it in NVIDIA-NeMo/Nemotron, which has 2,142 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 6, 2026.

Source: NVIDIA-NeMo/Nemotron on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.