Agent skill

Nemotron Customizer Airgap

Prepare, validate, build, and use Nemotron Customizer airgap image bundles for offline clusters.

Apache-2.0Auto-check passedAI & LLM Engineering

Install Nemotron Customizer Airgap

skills CLI

$ npx skills add NVIDIA-NeMo/Nemotron --skill nemotron-customizer-airgap -a claude-code

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

GitHub CLI

$ gh skill install NVIDIA-NeMo/Nemotron nemotron-customizer-airgap --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/deploy/nemotron-customizer/airgap .claude/skills/nemotron-customizer-airgap && 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/

Paste into Claude Code

Install the "nemotron-customizer-airgap" agent skill from https://github.com/NVIDIA-NeMo/Nemotron/tree/main/deploy/nemotron-customizer/airgap into .claude/skills/nemotron-customizer-airgap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemotron-customizer-airgap", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/NVIDIA-NeMo/Nemotron/tree/main/deploy/nemotron-customizer/airgap

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add NVIDIA-NeMo/Nemotron --skill nemotron-customizer-airgap -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install NVIDIA-NeMo/Nemotron nemotron-customizer-airgap --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA-NeMo/Nemotron.git skills-src && mkdir -p .agents/skills && cp -r skills-src/deploy/nemotron-customizer/airgap .agents/skills/nemotron-customizer-airgap && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "nemotron-customizer-airgap" agent skill from https://github.com/NVIDIA-NeMo/Nemotron/tree/main/deploy/nemotron-customizer/airgap into .agents/skills/nemotron-customizer-airgap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemotron-customizer-airgap", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add NVIDIA-NeMo/Nemotron --skill nemotron-customizer-airgap -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install NVIDIA-NeMo/Nemotron nemotron-customizer-airgap --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA-NeMo/Nemotron.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/deploy/nemotron-customizer/airgap .cursor/skills/nemotron-customizer-airgap && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "nemotron-customizer-airgap" agent skill from https://github.com/NVIDIA-NeMo/Nemotron/tree/main/deploy/nemotron-customizer/airgap into .cursor/skills/nemotron-customizer-airgap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemotron-customizer-airgap", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/NVIDIA-NeMo/Nemotron.git --path deploy/nemotron-customizer/airgap

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add NVIDIA-NeMo/Nemotron --skill nemotron-customizer-airgap -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install NVIDIA-NeMo/Nemotron nemotron-customizer-airgap --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA-NeMo/Nemotron.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/deploy/nemotron-customizer/airgap .gemini/skills/nemotron-customizer-airgap && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "nemotron-customizer-airgap" agent skill from https://github.com/NVIDIA-NeMo/Nemotron/tree/main/deploy/nemotron-customizer/airgap into .gemini/skills/nemotron-customizer-airgap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemotron-customizer-airgap", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install NVIDIA-NeMo/Nemotron nemotron-customizer-airgap

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add NVIDIA-NeMo/Nemotron --skill nemotron-customizer-airgap -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA-NeMo/Nemotron.git skills-src && mkdir -p .github/skills && cp -r skills-src/deploy/nemotron-customizer/airgap .github/skills/nemotron-customizer-airgap && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "nemotron-customizer-airgap" agent skill from https://github.com/NVIDIA-NeMo/Nemotron/tree/main/deploy/nemotron-customizer/airgap into .github/skills/nemotron-customizer-airgap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemotron-customizer-airgap", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add NVIDIA-NeMo/Nemotron --skill nemotron-customizer-airgap -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install NVIDIA-NeMo/Nemotron nemotron-customizer-airgap --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA-NeMo/Nemotron.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/deploy/nemotron-customizer/airgap .opencode/skills/nemotron-customizer-airgap && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "nemotron-customizer-airgap" agent skill from https://github.com/NVIDIA-NeMo/Nemotron/tree/main/deploy/nemotron-customizer/airgap into .opencode/skills/nemotron-customizer-airgap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemotron-customizer-airgap", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: nemotron-customizer-airgap
GitHub stars: 2.1k
Token cost: ~1.2k tokens
SKILL.md length: 445 words
Files: 11
Skills in repo: 10
Repo updated: Oct 6, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Prepare, validate, build, and use Nemotron Customizer airgap image bundles for offline clusters.

Works in 3 steps: Establish the side of the workflow → Gather the minimum inputs → Plan with the runner first
Planning airgapped deployments
SKILL.md covers Read First, Workflow, Guardrails and Validation
Runs Python scripts from its folder; calls uv

What it does

Nemotron Customizer Airgap is an agent skill from NVIDIA-NeMo/Nemotron. Prepare, validate, build, and use Nemotron Customizer airgap image bundles for offline clusters. Use when planning airgapped deployments, editing deploy/nemotron-customizer/airgap/airgap.yaml, selecting workflow targets, grouping step execution images, baking repo overlays or wheel additions, resuming airgap runner builds, or submitting nemotron steps run jobs inside an airgapped environment.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files (for example `README.md`, `airgap.yaml` and `configs/sft_megatron_bridge_default.yaml`).

It sits in AI & LLM Engineering, covering Deployment. It works with NVIDIA AI Platform and Docker. 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

Planning airgapped deployments
Editing deploy/nemotron-customizer/airgap/airgap.yaml
Selecting workflow targets
Grouping step execution images

Example prompts

“/nemotron-customizer-airgap”

Requirements

Python 3
Docker

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

Establish the side of the workflow
Gather the minimum inputs
Plan with the runner first

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
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
- uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
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 Customizer Airgap loads about 1.2k tokens when it runs. Until then it costs about 106 tokens; SKILL.md has 445 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~106
When it runs · the whole SKILL.md, loaded when a task matches: ~1.2k

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). 445 words, ~1,189 tokens.

Download SKILL.mdSave it as .claude/skills/nemotron-customizer-airgap/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.

name: nemotron-customizer-airgap
description: Prepare, validate, build, and use Nemotron Customizer airgap image bundles for offline clusters. Use when planning airgapped deployments, editing deploy/nemotron-customizer/airgap/airgap.yaml, selecting workflow targets, grouping step execution images, baking repo overlays or wheel additions, resuming airgap runner builds, or submitting `nemotron steps run` jobs inside an airgapped environment.

Nemotron Customizer Airgap

Use this skill to help an agent produce a connected-machine airgap bundle and then submit Nemotron Customizer steps from the airgapped side. Keep it grounded in the checked-in runner and manifests; do not invent a parallel packaging flow.

Read First

deploy/nemotron-customizer/airgap/README.md for the operator flow.
deploy/nemotron-customizer/airgap/airgap.yaml for the current image map.
deploy/nemotron-customizer/airgap/runner.py when changing behavior.
tests/deploy/test_airgap_runner.py before editing runner logic.
deploy/nemotron-customizer/airgap/configs/ for runtime overlay configs.

For selected steps, inspect the catalog through the CLI:

bash

uv run nemotron steps show <step_id> --json

Workflow

Establish the side of the workflow:
- Connected machine: validate, build, save image tarballs.
- Airgapped side: load images, set env profiles, run selected steps.
Gather the minimum inputs:
- Target steps and config names, for example sft/megatron_bridge:tiny.
- Target architecture or Docker platform, for example linux/amd64.
- Available base images and whether the connected machine can pull them.
- Airgapped env profile name, mounts, model/data/checkpoint locations.
- Whether destructive or expensive actions such as --execute, Docker build, Docker volume cleanup, or state-file removal are explicitly allowed.
Plan with the runner first:

bash

uv run python deploy/nemotron-customizer/airgap/runner.py \
  --config deploy/nemotron-customizer/airgap/airgap.yaml

Use --target <step_id>:<config> for one-off selections without editing YAML. The runner expands dependencies from dependencies, validates selected step files/configs, groups execution images, and prints selected execution images.

Edit airgap.yaml only where the runner expects configuration:
- workflow.stages or CLI --target for selected customer steps.
- dependencies for explicit upstream Nemotron Customizer step outputs.
- step_execution_images for step-to-image mapping.
- execution_images for base image, tag, tar, platform, and import probes.
- launcher_image for the launcher container.
Execute only when the user asks for a real build:

bash

uv run python deploy/nemotron-customizer/airgap/runner.py \
  --config deploy/nemotron-customizer/airgap/airgap.yaml \
  --execute

If a build fails midway, keep airgap-build-state.yaml and rerun the same command. Remove or move that state only when intentionally changing the plan.

On the airgapped side, use images from out/airgap-manifest.yaml under step_execution_images. Submit with the plural CLI:

bash

uv run nemotron steps run <step_id> \
  -c <config-or-airgap-overlay> \
  -b <airgap-profile> \
  run.env.container_image=<image-from-manifest>

For sft/megatron_bridge, prefer the airgap overlay configs under deploy/nemotron-customizer/airgap/configs/; they clear runtime git auto-mounts because the runner bakes those repos into the execution image.

Show full SKILL.md (134 more words)Show less

Guardrails

Keep models, datasets, checkpoints, secrets, and customer files out of images. Put them on persistent storage and reference them through config overrides and run.env.mounts.
Treat ${auto_mount:git+...} as a connected-machine build input. The runner bakes pinned repo overlays into execution images so airgapped jobs do not clone from GitHub.
Do not add missing packages blindly. Let discover-execution-deps and import probes determine small additions; keep heavyweight framework deps in the base image choice.
Preserve offline defaults unless the user has an internal mirror: HF_HUB_OFFLINE=1, TRANSFORMERS_OFFLINE=1, HF_DATASETS_OFFLINE=1, and WANDB_MODE=offline.
Use nemotron steps ...; do not reintroduce nemotron step ....

Validation

After edits to runner logic, YAML structure, or airgap docs, run:

bash

uv run pytest tests/deploy/test_airgap_runner.py -q

For CLI-facing examples, also smoke the command shape:

bash

uv run nemotron steps --help
uv run nemotron steps show data_prep/sft_packing --json

Do not run Docker build/save stages during validation unless the user explicitly asked for a real connected-machine bundle build.

Files

SKILL.md and 10 other files in deploy/nemotron-customizer/airgap of NVIDIA-NeMo/Nemotron.

SKILL.md
.gitignore
Dockerfile.execution
Dockerfile.execution.dockerignore
Dockerfile.launcher
Dockerfile.launcher.dockerignore
README.md
airgap.yaml
configs/sft_megatron_bridge_default.yaml
configs/sft_megatron_bridge_tiny.yaml
runner.py

Open the folder on GitHubat commit ca8c409

Compare with similar skills

Nemotron Customizer Airgap 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 Customizer Airgap compared with similar skills
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Deep Researcher DeployNVIDIA-AI-Blueprints/deep-researcher-agent	886	—	~3.5k	Automated safety check: Notes	Apache-2.0	yesterday
Msa Search NimNVIDIA/skills	3.6k	1 repos	~4.6k	Automated safety check: Notes	Apache-2.0	yesterday
Generate Openenv Envadithya-s-k/FineEnvs	461	—	~2.4k	Automated safety check: Pass	Apache-2.0	2 days ago
vLLM Model ServingOrchestra-Research/AI-Research-SKILLs	13k	5 repos	~2.3k	Automated safety check: Pass	MIT	3 mo ago

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Works with

Questions about Nemotron Customizer Airgap

What does Nemotron Customizer Airgap do?

Prepare, validate, build, and use Nemotron Customizer airgap image bundles for offline clusters. Nemotron Customizer Airgap is an agent skill from NVIDIA-NeMo/Nemotron. Prepare, validate, build, and use Nemotron Customizer airgap image bundles for offline clusters.

When should I use Nemotron Customizer Airgap?

Nemotron Customizer Airgap fits situations like: planning airgapped deployments; editing deploy/nemotron-customizer/airgap/airgap.yaml; selecting workflow targets; grouping step execution images.

How do I install Nemotron Customizer Airgap in Claude Code?

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

How do I install Nemotron Customizer Airgap in Codex?

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

Can I use Nemotron Customizer Airgap 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-customizer-airgap -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-customizer-airgap, .gemini/skills/nemotron-customizer-airgap, .github/skills/nemotron-customizer-airgap and .opencode/skills/nemotron-customizer-airgap in your project.

What does Nemotron Customizer Airgap need to run?

Going by SKILL.md and its folder, Nemotron Customizer Airgap needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3; Docker.

Does Nemotron Customizer Airgap access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Nemotron Customizer Airgap 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 Customizer Airgap use?

Nemotron Customizer Airgap 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 Customizer Airgap use?

About 1.2k tokens (SKILL.md is roughly 4.8k 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 Customizer Airgap?

Skills that share tags, products or a category with Nemotron Customizer Airgap: Setup Workshop (brevdev/workshop-build-an-agent, 146 stars), Deep Researcher Deploy (NVIDIA-AI-Blueprints/deep-researcher-agent, 886 stars), Msa Search Nim (NVIDIA/skills, 3.6k stars) and Generate Openenv Env (adithya-s-k/FineEnvs, 461 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nemotron Customizer Airgap?

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.

Install Nemotron Customizer Airgap

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Nemotron Customizer Airgap

Read First

Workflow

Guardrails

Validation

Files

Compare with similar skills

Similar skills

More from NVIDIA-NeMo/Nemotron

Related

Questions about Nemotron Customizer Airgap