Agent skill · software engineering · nvidia
nemotron-speech
Routes NVIDIA Nemotron Speech (Formerly Riva) NIM tasks — deploys, runs, and tests ASR, TTS, and NMT NIMs on build.nvidia.com or self-hosted.
Why this skill is useful
Adds executable scripts and detailed workflows for deploying and managing NVIDIA Riva NIM tasks that are not publicly documented.
What it needs
Requires docker installed locally. Requires nvidia account access. About 6k tokens when loaded. Last updated 2026-08-07. 2,816 stars on the source repository.
What this skill does
Nemotron Speech Skills Note: "Nemotron Speech" is the public-facing name for what NVIDIA documents today as Riva / Riva NIM. All commands, container images, gRPC APIs, Python imports, and documentation URLs still use "Riva" — the rename is brand-only. Do not rename commands, images, or doc URLs. Agent: When walking the user through a multi-step workflow, announce each step before presenting it: Step N/M — Step Title (e.g., "Step 1/4 — Deploy the Container"). Purpose Single entry point for all NVIDIA Nemotron Speech (Riva) NIM workflows: ASR (speech-to-text), TTS (text-to-speech), and NMT (translation). Covers cloud-hosted inference via build.nvidia.com, self-hosted Docker deployment, client-protocol choice for ASR (gRPC, HTTP, WebSocket), custom NeMo model deployment via riva-build, ASR pipeline tuning (VAD, diarization, language models), and the prerequisite Docker / NGC / driver setup. When to Use This Skill Use this skill for any Nemotron Speech / Riva NIM task — deployment, testing, custom model build, system requirements check, or model selection across ASR / TTS / NMT modalities. Workflow Identify the user's task type, then load the corresponding reference file from references/. The reference files contain the detailed per-workflow content; this SKILL.md is a routing surface. Load only the reference relevant to the task at hand. Prerequisites For self-hosted deployment: NVIDIA AI Enterprise (NVAIE) entitlement, then complete the environment setup — NVIDIA drivers, Docker, Container Toolkit, NGC API key, Riva Python client. See references/setup.md. For cloud-hosted inference: pip install -U nvidia-riva-client and a valid NVIDIAAPIKEY from https://build.nvidia.com. Treat NVIDIAAPIKEY and NGCAPIKEY as secrets: never print, paste, commit, or log real key values. Prefer --password-stdin for Docker login and store persistent keys in a credential manager or a chmod 600 env file rather than world-readable shell startup files. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills nvidia/nemotron-speech