Setup Workshop Nemoclaw
brevdev/workshop-build-an-agent
Set up the NVIDIA "Build an Agent" DevX workshop as a working JupyterLab environment from INSIDE a locked-down OpenShell/NemoClaw sandbox, and hand the user the token URL + access commands.
Create, refine, or fix NVIDIA voice agents (Cascaded or Omni) with Pipecat or LiveKit.
$ npx skills add NVIDIA/skills --skill nemotron-voice-agent-builder -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills nemotron-voice-agent-builder --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/nemotron-voice-agent-builder .claude/skills/nemotron-voice-agent-builder && rm -rf skills-srcUse ~/.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/
Install the "nemotron-voice-agent-builder" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemotron-voice-agent-builder into .claude/skills/nemotron-voice-agent-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemotron-voice-agent-builder", 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 install https://github.com/NVIDIA/skills/tree/main/skills/nemotron-voice-agent-builderType 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.
$ npx skills add NVIDIA/skills --skill nemotron-voice-agent-builder -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills nemotron-voice-agent-builder --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/nemotron-voice-agent-builder .agents/skills/nemotron-voice-agent-builder && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nemotron-voice-agent-builder" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemotron-voice-agent-builder into .agents/skills/nemotron-voice-agent-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemotron-voice-agent-builder", 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.
$ npx skills add NVIDIA/skills --skill nemotron-voice-agent-builder -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills nemotron-voice-agent-builder --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/nemotron-voice-agent-builder .cursor/skills/nemotron-voice-agent-builder && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "nemotron-voice-agent-builder" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemotron-voice-agent-builder into .cursor/skills/nemotron-voice-agent-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemotron-voice-agent-builder", 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 https://github.com/NVIDIA/skills.git --path skills/nemotron-voice-agent-builder--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add NVIDIA/skills --skill nemotron-voice-agent-builder -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills nemotron-voice-agent-builder --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/nemotron-voice-agent-builder .gemini/skills/nemotron-voice-agent-builder && rm -rf skills-srcUse ~/.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/
Install the "nemotron-voice-agent-builder" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemotron-voice-agent-builder into .gemini/skills/nemotron-voice-agent-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemotron-voice-agent-builder", 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.
$ gh skill install NVIDIA/skills nemotron-voice-agent-builderInstalls 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).
$ npx skills add NVIDIA/skills --skill nemotron-voice-agent-builder -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/nemotron-voice-agent-builder .github/skills/nemotron-voice-agent-builder && rm -rf skills-srcUse ~/.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/
Install the "nemotron-voice-agent-builder" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemotron-voice-agent-builder into .github/skills/nemotron-voice-agent-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemotron-voice-agent-builder", 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.
$ npx skills add NVIDIA/skills --skill nemotron-voice-agent-builder -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NVIDIA/skills nemotron-voice-agent-builder --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/nemotron-voice-agent-builder .opencode/skills/nemotron-voice-agent-builder && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "nemotron-voice-agent-builder" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemotron-voice-agent-builder into .opencode/skills/nemotron-voice-agent-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemotron-voice-agent-builder", 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.
nemotron-voice-agent-builderCreate, refine, or fix NVIDIA voice agents (Cascaded or Omni) with Pipecat or LiveKit.
Nemotron Voice Agent Builder is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Create, refine, or fix NVIDIA voice agents (Cascaded or Omni) with Pipecat or LiveKit. Use when building, scaffolding, or iterating on a real-time voice-agent pipeline, including speech (ASR/TTS) customization and cloud or local deployment. Not for offline/batch speech-to-text, text-only chat or RAG, or generic Docker or CUDA work unrelated to a voice agent.
Its SKILL.md is about 840 tokens, which your agent loads only when the skill is triggered. The skill folder holds 36 other files, including reference files (for example `BENCHMARK.md`, `evals/EVAL.md` and `evals/evals.json`).
It sits in AI & LLM Engineering, covering Speech recognition and synthesis. It works with NVIDIA AI Platform, CUDA and Docker. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit dfdd080. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Nemotron Voice Agent Builder loads about 844 tokens when it runs, and up to ~47k if it reads all its reference files. Until then it costs about 97 tokens; SKILL.md has 356 words of instructions outside code blocks.
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.
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.
The full file from NVIDIA/skills at commit dfdd080, republished under its Apache-2.0 licence (© NVIDIA). 356 words, ~844 tokens.
.claude/skills/nemotron-voice-agent-builder/SKILL.md (or your agent's skills folder). This skill also uses 31 other files; get the full folder from GitHub.Creates a working NVIDIA voice agent or updates an existing project:
Use this skill when the user wants to build, scaffold, configure, refine, or fix an NVIDIA voice agent — a real-time speech pipeline with audio input and spoken output — on Pipecat or LiveKit. This covers Cascaded (ASR → LLM → TTS) and Omni (audio-in LLM + TTS) pipelines, speech customization (ASR word boosting, TTS pronunciation), multilingual routing, and cloud or local deployment (NIM, vLLM, NeMo-Speech.cpp) on workstations, DGX Spark, or Jetson Thor.
Do not use this skill for text-only chatbots or RAG, standalone batch speech-to-text transcription, generic Docker or infrastructure help, or unrelated CUDA or model work that has no voice-agent pipeline.
Classify the starting state before following the phases:
references/operations/iterate.md first, and then route only the references needed for the requested change.references/operations/troubleshoot.md first. After restoring the baseline, continue with references/operations/iterate.md.For an empty project, follow these phases in order:
| Phase | Read |
|---|---|
| 1. Intake | references/intake.md resolves pipeline and framework first, then routes preflight, models, language, and domain files |
| 2. Build | references/platforms/readiness.md if self-hosted → exact profile or quantization variant in the routed model file → references/output-contract.md → routed deployment path → references/operations/observability.md → selected framework files |
| 3. Hand over | references/operations/run.md gates the client on the generated scripts/smoke.sh, then references/operations/troubleshoot.md if the spoken exchange fails |
| 4. Iterate | references/operations/iterate.md for changes to a working agent |
Wait for approval before writing files.
references/preflight.md §4 probes the host and selects the deployment path. The routed
platform file owns that path from there.
Also read references/networking/remote-webrtc.md when Pipecat WebRTC crosses hosts or
networks.
© NVIDIA, 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
SKILL.md and 31 other files (references) in skills/nemotron-voice-agent-builder of NVIDIA/skills.
Open the folder on GitHubat commit dfdd080
Nemotron Voice Agent Builder 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Nemotron Voice Agent Builder this skillNVIDIA/skills | 3.5k | — | ~844 | Automated safety check: Pass | Apache-2.0 | |
| Setup Workshop Nemoclawbrevdev/workshop-build-an-agent | 146 | — | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Vllm Deploy Dockervllm-project/vllm-skills | 103 | — | ~2.5k | Automated safety check: Notes | Apache-2.0 | |
| Init GPU Serverdrawthingsai/draw-things-community | 582 | — | ~2.2k | Automated safety check: Pass | GPL-3.0 | |
| Dstack Prototypingdstackai/dstack | 2.3k | — | ~1.6k | Automated safety check: Pass | MPL-2.0 | |
| Graphsignalgraphsignal/graphsignal | 257 | — | ~6.2k | Automated safety check: Pass | Apache-2.0 |
brevdev/workshop-build-an-agent
Set up the NVIDIA "Build an Agent" DevX workshop as a working JupyterLab environment from INSIDE a locked-down OpenShell/NemoClaw sandbox, and hand the user the token URL + access commands.
vllm-project/vllm-skills
Deploy vLLM using Docker (pre-built images or build-from-source) with NVIDIA GPU support and run the OpenAI-compatible server.
drawthingsai/draw-things-community
Initialize a Draw Things GPU server with GPUScript, including script sync, Docker/CUDA/NVIDIA runtime setup, 7T data disk mounting, mergerfs, and end-to-end GPU verification.
dstackai/dstack
Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven.
graphsignal/graphsignal
Profile AI inference workloads (vLLM, SGLang, TensorRT-LLM, PyTorch, any GPU application) with the Graphsignal profiler and read the results from its local /signals JSON endpoint.
BBuf/AI-Infra-Auto-Driven-SKILLS
Analyzes Torch Profiler traces from SGLang, vLLM and TensorRT-LLM servers into kernel attribution, overlap and fusion tables.
NVIDIA/skills
A skill your agent uses when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice.
NVIDIA/skills
Generates, validates, compares and explains HOLOLINK_def.svh macro files for the HSB IP, using bundled Python scripts and asking before it writes anything.
NVIDIA/skills
Runs and validates an end-to-end Mission Control demo in a locally installed Isaac Sim, with a Nova Carter robot driven through a Python server.
NVIDIA/skills
Orchestrates defect image generation for PCBA, metal surface and glass inspection with NVIDIA Cosmos AnomalyGen on OSMO, from cold-start Day 0 to real-photo Day 1 labeling.
NVIDIA/skills
Orchestrates video data augmentation and auto-labeling workflows on OSMO, from flow selection and preflight checks to submission, monitoring and output download.
NVIDIA/skills
Runs NVIDIA TAO Data Services KPI analysis on object detection results, comparing predictions to ground truth and writing per-class precision, recall and AP to a CSV.
Works with
Categories
Create, refine, or fix NVIDIA voice agents (Cascaded or Omni) with Pipecat or LiveKit. Nemotron Voice Agent Builder is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Create, refine, or fix NVIDIA voice agents (Cascaded or Omni) with Pipecat or LiveKit.
Nemotron Voice Agent Builder fits situations like: iterating on a real-time voice-agent pipeline; including speech (ASR/TTS) customization and cloud; local deployment.
Run `npx skills add NVIDIA/skills --skill nemotron-voice-agent-builder -a claude-code`. Or copy the skill folder (skills/nemotron-voice-agent-builder in NVIDIA/skills) into .claude/skills/nemotron-voice-agent-builder in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill nemotron-voice-agent-builder -a codex`. Or copy the skill folder (skills/nemotron-voice-agent-builder in NVIDIA/skills) into .agents/skills/nemotron-voice-agent-builder in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/skills --skill nemotron-voice-agent-builder -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-voice-agent-builder, .gemini/skills/nemotron-voice-agent-builder, .github/skills/nemotron-voice-agent-builder and .opencode/skills/nemotron-voice-agent-builder in your project.
SKILL.md names no scripts, command-line tools or credentials: Nemotron Voice Agent Builder is instructions for the agent only. Our summary lists: Docker.
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.
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.
Nemotron Voice Agent Builder is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 844 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 46k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Nemotron Voice Agent Builder: Setup Workshop Nemoclaw (brevdev/workshop-build-an-agent, 146 stars), Vllm Deploy Docker (vllm-project/vllm-skills, 103 stars), Init GPU Server (drawthingsai/draw-things-community, 582 stars) and Dstack Prototyping (dstackai/dstack, 2.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,546 GitHub stars. The repository holds 386 skills in this directory. The repository was last updated on October 9, 2026.
Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.