Official agent skill

Nemo Retriever

A skill your agent uses when searching, extracting, ingesting, or querying a document collection with the NeMo Retriever 26.8.1 CLI, including local LanceDB indexes and deployed Retriever services.

OfficialApache-2.0Auto-check passedDocuments & Office

Install Nemo Retriever

skills CLI

$ npx skills add NVIDIA/skills --skill nemo-retriever -a claude-code

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

GitHub CLI

$ gh skill install NVIDIA/skills nemo-retriever --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/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/nemo-retriever .claude/skills/nemo-retriever && 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 "nemo-retriever" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemo-retriever into .claude/skills/nemo-retriever/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemo-retriever", 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/skills/tree/main/skills/nemo-retriever

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/skills --skill nemo-retriever -a codex

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

GitHub CLI

$ gh skill install NVIDIA/skills nemo-retriever --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/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/nemo-retriever .agents/skills/nemo-retriever && 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 "nemo-retriever" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemo-retriever into .agents/skills/nemo-retriever/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemo-retriever", 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/skills --skill nemo-retriever -a cursor

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

GitHub CLI

$ gh skill install NVIDIA/skills nemo-retriever --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/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/nemo-retriever .cursor/skills/nemo-retriever && 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 "nemo-retriever" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemo-retriever into .cursor/skills/nemo-retriever/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemo-retriever", 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/skills.git --path skills/nemo-retriever

--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/skills --skill nemo-retriever -a gemini-cli

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

GitHub CLI

$ gh skill install NVIDIA/skills nemo-retriever --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/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/nemo-retriever .gemini/skills/nemo-retriever && 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 "nemo-retriever" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemo-retriever into .gemini/skills/nemo-retriever/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemo-retriever", 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/skills nemo-retriever

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/skills --skill nemo-retriever -a github-copilot

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

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/nemo-retriever .github/skills/nemo-retriever && 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 "nemo-retriever" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemo-retriever into .github/skills/nemo-retriever/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemo-retriever", 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/skills --skill nemo-retriever -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/skills nemo-retriever --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/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/nemo-retriever .opencode/skills/nemo-retriever && 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 "nemo-retriever" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemo-retriever into .opencode/skills/nemo-retriever/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemo-retriever", 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: nemo-retriever
GitHub stars: 3.5k
Token cost: ~583 tokens
SKILL.md length: 146 words
Files: 5
Skills in repo: 380
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

A skill your agent uses when searching, extracting, ingesting, or querying a document collection with the NeMo Retriever 26.8.1 CLI, including local LanceDB indexes and deployed Retriever services.

Querying a document collection with the NeMo Retriever 26.8.1 CLI
SKILL.md covers Install only when missing, Local workflow, Service workflow and Rules
Calls uv; needs NEMO_RETRIEVER_API_TOKEN
Including local LanceDB indexes and deployed Retriever services

What it does

Nemo Retriever is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use when searching, extracting, ingesting, or querying a document collection with the NeMo Retriever 26.8.1 CLI, including local LanceDB indexes and deployed Retriever services. Use for PDFs, images, Office files, HTML, text, audio, and video; not for editing documents or web search.

Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `BENCHMARK.md`, `evals/evals.json` and `skill-card.md`).

It sits in Documents & Office, covering Web search. 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.

When your agent uses it

Querying a document collection with the NeMo Retriever 26.8.1 CLI
Including local LanceDB indexes and deployed Retriever services
Not for editing documents

Example prompts

“/nemo-retriever”

Requirements

Python 3
A credential in NEMO_RETRIEVER_API_TOKEN

What it can do on your machine

Read from SKILL.md and the folder at commit 67a13c0. 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
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 these keys or tokens, usually read from environment variables:
- NEMO_RETRIEVER_API_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Nemo Retriever loads about 583 tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 146 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~75
When it runs · the whole SKILL.md, loaded when a task matches: ~583

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/skills at commit 67a13c0, republished under its Apache-2.0 licence (© NVIDIA). 146 words, ~583 tokens.

Download SKILL.mdSave it as .claude/skills/nemo-retriever/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.

name: nemo-retriever
description: Use when searching, extracting, ingesting, or querying a document collection with the NeMo Retriever 26.8.1 CLI, including local LanceDB indexes and deployed Retriever services. Use for PDFs, images, Office files, HTML, text, audio, and video; not for editing documents or web search.
license: Apache-2.0

NeMo Retriever

Use the retriever CLI. Prefer it over hand-built retrieval code.

Install only when missing

Create a project-local Python environment:

bash

uv venv .venv --python 3.12
export PATH="$PWD/.venv/bin:$PATH"

Install the package variant required by the workflow:

bash

# Remote NIM or service client
uv pip install --python .venv/bin/python "nemo-retriever==26.8.1"

# Local GPU ingestion
uv pip install --python .venv/bin/python "nemo-retriever[local]==26.8.1"

# Local service using Hugging Face models
uv pip install --python .venv/bin/python \
  "nemo-retriever[service,local]==26.8.1"

# Local audio or video ingestion
uv pip install --python .venv/bin/python \
  "nemo-retriever[local,multimedia]==26.8.1"

Do not clone NeMo Retriever or install from a Git URL. If retriever is already on PATH, use that installation.

Local workflow

Build a local index:

bash

retriever ingest <file-or-directory> \
  --lancedb-uri lancedb --table-name nemo-retriever

Query it:

bash

retriever query "<question>" \
  --lancedb-uri lancedb --table-name nemo-retriever \
  --top-k 5 --format evidence

Use retriever ingest batch only for an explicitly requested Ray batch run.

Service workflow

Use these forms for an already deployed Retriever service:

bash

retriever ingest service <file-or-directory> \
  --service-url "$RETRIEVER_SERVICE_URL"

retriever query service "<question>" \
  --service-url "$RETRIEVER_SERVICE_URL" \
  --top-k 5 --format evidence

Set NEMO_RETRIEVER_API_TOKEN when the service requires Bearer authentication. Do not pass local LanceDB flags to the service commands.

Rules

Use the existing index or service when one is provided; do not rebuild it.
Use retriever ingest --help, retriever query --help, or the relevant batch / service help for options not shown here.
Answer only from retrieved evidence; preserve source and page metadata when the task requests citations.

Files

SKILL.md and 4 other files in skills/nemo-retriever of NVIDIA/skills.

SKILL.md
BENCHMARK.md
evals/evals.json
skill-card.md
skill.oms.sig

Open the folder on GitHubat commit 67a13c0

Compare with similar skills

Nemo Retriever 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.

Nemo Retriever compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Nemo Retriever this skillNVIDIA/skills	3.5k	—	~583	Automated safety check: Pass	Apache-2.0	today
Paper Submissionbrycewang-stanford/Auto-Empirical-Research-Skills	4.5k	—	~3.4k	Automated safety check: Notes	Custom licence	3 days ago
Prioritize Reference FilesHKUDS/OpenSpace	7.7k	—	~1.3k	Automated safety check: Pass	MIT	1 mo ago
Jev SEOAgriciDaniel/jev-seo	527	—	~2.5k	Automated safety check: Notes	MIT	16 days ago
Harness Useautonomous-ai/Physical-AI-Operating-System	381	—	~8k	Automated safety check: Pass	Apache-2.0	today
IngestPrismer-AI/PrismerCloud	1.6k	—	~934	Automated safety check: Pass	MIT	8 days ago

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Questions about Nemo Retriever

What does Nemo Retriever do?

A skill your agent uses when searching, extracting, ingesting, or querying a document collection with the NeMo Retriever 26.8.1 CLI, including local LanceDB indexes and deployed Retriever services. Nemo Retriever is an agent skill from NVIDIA/skills, published by the product's own GitHub organization.1 CLI, including local LanceDB indexes and deployed Retriever services.

When should I use Nemo Retriever?

Nemo Retriever fits situations like: querying a document collection with the NeMo Retriever 26.8.1 CLI; including local LanceDB indexes and deployed Retriever services; not for editing documents.

How do I install Nemo Retriever in Claude Code?

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

How do I install Nemo Retriever in Codex?

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

Can I use Nemo Retriever 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/skills --skill nemo-retriever -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nemo-retriever, .gemini/skills/nemo-retriever, .github/skills/nemo-retriever and .opencode/skills/nemo-retriever in your project.

What does Nemo Retriever need to run?

Going by SKILL.md and its folder, Nemo Retriever needs the command-line tools its instructions call (uv) and credentials named NEMO_RETRIEVER_API_TOKEN. Our summary lists: Python 3; A credential in NEMO_RETRIEVER_API_TOKEN.

Does Nemo Retriever 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 Nemo Retriever 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 Nemo Retriever use?

Nemo Retriever 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.

How many tokens does Nemo Retriever use?

About 583 tokens (SKILL.md is roughly 2.3k 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 Nemo Retriever?

Skills that share tags, products or a category with Nemo Retriever: Paper Submission (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars), Prioritize Reference Files (HKUDS/OpenSpace, 7.7k stars), Jev SEO (AgriciDaniel/jev-seo, 527 stars) and Harness Use (autonomous-ai/Physical-AI-Operating-System, 381 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nemo Retriever?

NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,539 GitHub stars. The repository holds 380 skills in this directory. The repository was last updated on October 7, 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.

Install Nemo Retriever

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

NeMo Retriever

Install only when missing

Local workflow

Service workflow

Rules

Files

Compare with similar skills

Similar skills

More from NVIDIA/skills

Related

Questions about Nemo Retriever