Official agent skill

Nvidia App

by NVIDIA in NVIDIA/skills

NVIDIA App MCP: drivers, games, laptops, overlay. An agent skill from NVIDIA/skills.

OfficialApache-2.0Auto-check passedAgent Workflows

Install Nvidia App

skills CLI
$ npx skills add NVIDIA/skills --skill nvidia-app -a claude-code

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

GitHub CLI
$ gh skill install NVIDIA/skills nvidia-app --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/nvidia-app .claude/skills/nvidia-app && 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
nvidia-app
GitHub stars
3.5k
Token cost
~4.3k tokens
SKILL.md length
2,103 words
Files
10 (incl. references)
Skills in repo
380
Repo updated
First seen
Licence
Apache-2.0

At a glance

NVIDIA App MCP: drivers, games, laptops, overlay. An agent skill from NVIDIA/skills.

  • Works in 8 steps: Classify the request. Route general… → Register nvidia-app in the current MCP… → Use the direct connection only as a… → …
  • Tasks that involve MCP servers
  • SKILL.md covers Purpose, When to use this skill, Inputs and Prerequisites, plus 11 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Nvidia App is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. NVIDIA App MCP: drivers, games, laptops, overlay. Check drivers, manage and optimize games, configure laptop features.

Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including reference files (for example `BENCHMARK.md`, `evals/evals.json` and `references/connection.md`).

It sits in Agent Workflows, covering MCP servers. It works with NVIDIA AI Platform and Model Context Protocol. 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

  • Tasks that involve MCP servers

Example prompts

  • “/nvidia-app”

Workflow steps

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

  1. Classify the request. Route general NVIDIA App requests through live tool discovery. Route nvapp_overlay_ requests through the Overlay…
  2. Register nvidia-app in the current MCP client, or fall back explicitly. The client is registered only when this session's live tool…
  3. Use the direct connection only as a declared fallback. If the user declines the configuration change, the client cannot be modified or…
  4. Discover general tools. For a non-Overlay request, inspect tools/list on whichever connection you established, then read…
  5. Resolve an Overlay target state. For an explicit start, stop, enable, disable, show, or hide request, call the mapped mutation directly…
  6. Validate the arguments. For general tools, follow references/general-tools.md and any narrower live schema. For Overlay tools, use exactly…
  7. Execute in request order. Fulfill compound requests by issuing each supported operation as its own tool call in the user's order. Make…
  8. Interpret the result literally. Report only returned fields and outcomes. Overlay mutations return a human-readable message; report that…

What it can do on your machine

Read from SKILL.md and the folder at commit 0e0d506. 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 (its code samples are json).

    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

Nvidia App loads about 4.3k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 32 tokens; SKILL.md has 2,103 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~32
When it runs · the whole SKILL.md, loaded when a task matches
~4.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~12k

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 0e0d506, republished under its Apache-2.0 licence (© NVIDIA). 2,103 words, ~4,255 tokens.

Download SKILL.mdSave it as .claude/skills/nvidia-app/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.
name
nvidia-app
description
NVIDIA App MCP: drivers, games, laptops, overlay. Check drivers, manage and optimize games, configure laptop features.
metadata.author
NVIDIA CORPORATION <info@nvidia.com>
metadata.tags
nvidia-app, in-game-overlay
metadata.domain
system-tools
metadata.team
nvidia-app
metadata.version
1.1.8

NVIDIA App MCP Overlay

Purpose

Use this skill for one product integration: operating NVIDIA App through its local MCP server. It has two routed modes:

  • General NVIDIA App operations cover application listing and launch, driver status and release notes, per-game optimization, and laptop features.
  • In-Game Overlay operations use the workflow below.

The Overlay workflow supports:

  • Read high-level Overlay status.
  • Start or stop gameplay recording.
  • Enable, disable, or save Instant Replay.
  • Enable or disable Highlights.
  • Capture a screenshot to the Overlay gallery.
  • Show or hide the Statistics Overlay.
  • Enable or disable the RTX Dynamic Vibrance filter.
  • Identify the currently running game.

Connection setup supports both modes but does not authorize additional actions.

When to use this skill

Use this skill when the user asks for one of the supported application, driver, game-optimization, laptop-feature, Overlay, or connection workflows.

Do not select this skill for Desktop Capture, other Overlay filter mutations, NVIDIA Broadcast, OBS, Xbox Game Bar, or other capture software.

Inputs

  • Required: A user request for a supported NVIDIA App query, mutation, or connection diagnostic.
  • Optional: An explicit target state, game or program identifier, tool-specific values, and client connection details. Obtain authentication tokens only from the protected discovery source described in references/connection.md; never accept or expose them as ordinary tool arguments.

Resolve information in this order: explicit user instructions, fresh live MCP schema or state, current client connection configuration, then the applicable self-contained skill reference for static contract details. Never treat a previous tool result as current state.

Prerequisites

  • Windows host with NVIDIA App installed (version 11.0.9.5xx or above) and its NvContainer-hosted MCP plugin running.
  • Standard NVIDIA App executable path: %ProgramFiles%\NVIDIA Corporation\NVIDIA App\CEF\NVIDIA App.exe.
  • MCP server access is enabled when NVIDIA App exposes a master toggle.
  • NVIDIA In-Game Overlay is enabled, running, and ready before any nvapp_overlay_ call.
  • The MCP client supports Streamable HTTP over loopback or connects through the installed stdio bridge.

MCP server readiness and Overlay readiness are separate. A successful MCP connection does not establish that Overlay tools are ready.

Instructions

  1. Classify the request. Route general NVIDIA App requests through live tool discovery. Route nvapp_overlay_ requests through the Overlay workflow. Read-only Overlay status can include fields for excluded features, but that does not authorize changing them.
  2. Register nvidia-app in the current MCP client, or fall back explicitly. The client is registered only when this session's live tool catalog advertises nvapp_ tools; an open loopback port or a working stdio bridge is not registration. If those tools are absent, attempt registration per references/connection.md before the first nvapp_ call. Registration is the default path because it persists across turns and sessions. A reachable HTTP endpoint is not a reason to skip the attempt.
  3. Use the direct connection only as a declared fallback. If the user declines the configuration change, the client cannot be modified or reloaded, or registration succeeds but nvapp_ tools still do not appear in this session, connect directly to the loopback HTTP endpoint (or the stdio bridge) and continue with the same documented tool contracts. Say which path you used and that registering nvidia-app would make access persistent. Do not silently prefer the direct path.
  4. Discover general tools. For a non-Overlay request, inspect tools/list on whichever connection you established, then read references/general-tools.md before selecting or calling one of its seven documented public tools. Select only a returned tool whose description, schema, and annotations most narrowly match the user's in-scope intent, and follow any narrower live schema and annotations.
  5. Resolve an Overlay target state. For an explicit start, stop, enable, disable, show, or hide request, call the mapped mutation directly. For a true toggle with no target state, read status once and invert only the corresponding Boolean.
  6. Validate the arguments. For general tools, follow references/general-tools.md and any narrower live schema. For Overlay tools, use exactly the mapped fields below. Never invent unsupported arguments.
  7. Execute in request order. Fulfill compound requests by issuing each supported operation as its own tool call in the user's order. Make only the calls needed for the requested operations. Respect the access tier and any consent decision; never raise access or enable another feature as a workaround.
  8. Interpret the result literally. Report only returned fields and outcomes. Overlay mutations return a human-readable message; report that message without inventing structured success fields. If a mutation message is ambiguous, state that the outcome is not independently confirmed instead of making a follow-up Overlay status call solely to verify it.

Connecting

The default HTTP endpoint is:

text
http://127.0.0.1:13508/mcp

The installed stdio bridge is:

text
%ProgramFiles%\NVIDIA Corporation\NVIDIA App\McpServer\NvAppMcpServer.exe

The stdio executable relays to the persistent server; it does not start or enable that server.

General NVIDIA App operations

Read references/general-tools.md before selecting or calling a general NVIDIA App tool. It contains the seven supported tool names, exact arguments, enums, conditional schemas, and prerequisite checks.

Use only a documented tool advertised by live tools/list. The packaged instructions are self-contained and do not depend on repository-internal schema sources.

Overlay operations

Use only the tools in this table and the authorized arguments shown here:

User intentToolArguments
Read overall Overlay statusnvapp_overlay_get_status{}
Start recordingnvapp_overlay_capture{ "action": "toggle_recording", "enable": true }
Stop and save recordingnvapp_overlay_capture{ "action": "toggle_recording", "enable": false }
Enable Instant Replaynvapp_overlay_capture{ "action": "toggle_instant_replay", "enable": true }
Disable Instant Replaynvapp_overlay_capture{ "action": "toggle_instant_replay", "enable": false }
Save Instant Replaynvapp_overlay_capture{ "action": "save_instant_replay" }
Enable Highlightsnvapp_overlay_capture{ "action": "toggle_highlights", "enable": true }
Disable Highlightsnvapp_overlay_capture{ "action": "toggle_highlights", "enable": false }
Capture a screenshotnvapp_overlay_capture{ "action": "capture_screenshot" }
Show Statistics Overlaynvapp_overlay_configure_stats{ "enable": true }
Hide Statistics Overlaynvapp_overlay_configure_stats{ "enable": false }
Enable RTX Dynamic Vibrancenvapp_overlay_configure_filters{ "filter": "rtx_dvc", "enable": true }
Disable RTX Dynamic Vibrancenvapp_overlay_configure_filters{ "filter": "rtx_dvc", "enable": false }
Get current gamenvapp_overlay_get_current_game_info{}

Never invoke toggle_desktop_capture. For nvapp_overlay_configure_filters, use only the rtx_dvc filter value.

Capture and privacy

toggle_recording, toggle_instant_replay, save_instant_replay, toggle_highlights, and capture_screenshot record screen content and write media files to the user's system. Recordings and screenshots persist in the NVIDIA App Overlay gallery until the user deletes them, and this skill cannot choose their format, resolution, or destination.

Treat every one of them as a privacy-affecting operation:

  • An explicit user request to start, stop, save, enable, or capture is the authorization. Make that single mapped call without an additional confirmation prompt, then report the returned message so the user knows capture began or media was written.
  • Never initiate capture the user did not ask for. Do not start recording as a side effect of another request or as a workaround for a failed operation.
  • Ask first when the request is ambiguous, when a true toggle has no target state and the status field is missing, or when an unsupported qualifier such as a format or destination applies.
  • Enabling Instant Replay or Highlights leaves background capture running until it is disabled. Say so when you enable either one.
  • Do not enable Desktop Capture to make a capture succeed. Content outside a supported game stays out of scope for this skill.

Decision rules

  • If this session's MCP catalog has no nvapp_ tools, attempt nvidia-app registration before connecting directly. Once registration is refused or has failed, a direct HTTP or stdio connection is allowed for the rest of the session without re-asking.
  • Whichever connection you use, honor the same tool names, schemas, access tier, and Overlay restrictions. The fallback changes the transport only, never the authorized surface.
  • For a true request to toggle recording, Instant Replay, Highlights, Statistics Overlay, or RTX Dynamic Vibrance, call nvapp_overlay_get_status once and invert only recordingActive, instantReplayEnabled, highlightsEnabled, statsOverlayEnabled, or rtxDvc, respectively.
  • If the required status field is absent, ask whether to enable or disable instead of guessing. Never convert an omitted field to false.
  • nvapp_overlay_capture accepts one action, not an action list.
  • Do not add enable to save_instant_replay or capture_screenshot.
  • Do not omit enable from toggle_recording, toggle_instant_replay, toggle_highlights, or nvapp_overlay_configure_stats.
  • Pass both filter: "rtx_dvc" and enable to nvapp_overlay_configure_filters; never invent another filter value.
  • For a mixed request, execute independent supported operations in order and explain or skip unsupported operations; an unsupported sibling request must not block a fully specified supported action.
  • When an unsupported qualifier modifies an otherwise supported state-changing operation, explain the limitation and ask whether to proceed with that supported subset before making its mutation call.
  • running: false means no current game was identified. Do not invent gameName or processId. Report fullscreen only when it is returned.
Show full SKILL.md (729 more words)Show less

Output Format

  • Follow the user's requested format; otherwise give a concise human-readable result.
  • For reads, report only structured fields that are present and distinguish an omitted field from false or null.
  • For failures, state that the operation failed and preserve the returned error code, retryability, and useful guidance.
  • Never expose authentication material. When protocol-level detail is needed, show only the request or response shape and replace tokens, authorization headers, and other secrets with placeholders such as <redacted-token>.

Limitations

  • Installed NVIDIA App versions and access levels can expose different general tools and output contracts; live tools/list is authoritative.
  • MCP readiness does not guarantee Overlay readiness, and a successful mutation message does not prove more than the returned result.
  • The Overlay workflow cannot mutate Desktop Capture or filters other than RTX Dynamic Vibrance, choose screenshot format or destination, or configure Statistics Overlay layout and styling.
  • Missing fields are unknown, not implicit false values, and unavailable tools or backend timeouts must not be replaced with inferred data.

Examples

Get driver status

For a request such as "Show my NVIDIA driver status," first check whether the current MCP client advertises nvapp_ tools. If it does not, offer to register nvidia-app; if the user declines or registration is not possible, connect directly to the loopback endpoint and say so. Then call tools/list on that connection and confirm nvapp_client_get_driver_status is advertised with an empty-object input schema. If it is unavailable, explain that the connected NVIDIA App version or access level does not expose this workflow; do not substitute a similarly named tool without validating its live schema.

Invoke:

json
{
  "name": "nvapp_client_get_driver_status",
  "arguments": {}
}

Use the returned structured fields literally:

  • Report systemType, installedDriver.version, optional installedDriver.channel, and installedDriver.availableActions.
  • Report preferredChannel.
  • For each item in recommendedDrivers, report name, version, channel, releaseDate, isUpdateAvailable, and availableActions.
  • If previouslyInstalledDriver is null, state that NVIDIA App reports no rollback driver is available. Otherwise, report its name, version, releaseDate, and availableActions.

This tool is read-only. Do not invoke a driver mutation; none is included in this seven-tool scope.

Start recording with an explicit target state

Call the mutation directly because the requested target state is already known:

json
{ "name": "nvapp_overlay_capture", "arguments": { "action": "toggle_recording", "enable": true } }

Do not read status before the call or issue a verification read afterward. The explicit request is the authorization, so no extra confirmation prompt is needed, but this call starts screen capture and writes a file; report the returned message and see Capture and privacy.

Toggle Instant Replay without a target state

First call nvapp_overlay_get_status with {}. If instantReplayEnabled is present, call nvapp_overlay_capture once with enable set to its opposite. If the field is absent, ask whether to enable or disable Instant Replay and make no mutation yet.

Handle an unsupported screenshot qualifier

For “Take a PNG screenshot in D:\Shots,” explain that the tool cannot select the format or destination. Ask whether to capture to the Overlay gallery. After confirmation, call:

json
{ "name": "nvapp_overlay_capture", "arguments": { "action": "capture_screenshot" } }

Troubleshooting

Error or symptomLikely causeResponse
service_disabledPersistent MCP server access is disabledAsk the user to enable MCP server access in NVIDIA App Settings; do not repeatedly spawn bridges.
overlay_not_availableMCP is connected but In-Game Overlay is not readyAsk the user to enable or start In-Game Overlay, then retry only if requested.
overlay_timeoutOverlay did not answer before the deadlinePreserve retriable; retry at most once when the result allows retrying and the retry remains within the request, then report the failure and ask before trying again.
access_level_restrictedCurrent MCP access ceiling blocks the toolReport the restriction; do not raise access implicitly.
isError: true or another backend/validation failureThe requested operation did not succeedPreserve the message and error code; do not infer data or report success.

Overlay mutations return a human-readable message rather than structured success fields. Report that message literally and do not infer additional state. If saving Instant Replay reports that it is disabled, ask before enabling it. If capture requires Desktop Capture, report the limitation rather than enabling Desktop Capture.

References

  • Read references/connection.md for client configuration, ports, discovery and authentication, protocol lifecycle, readiness, and connection troubleshooting.
  • Read references/general-tools.md for live discovery, schema use, routing, and result handling for non-Overlay NVIDIA App operations.
  • Read references/overlay-capture.md for recording, Instant Replay, Highlights, screenshots, unsupported qualifiers, access, and capture errors.
  • Read references/overlay-state.md for status routing, true toggles, Statistics Overlay visibility, RTX Dynamic Vibrance, and current-game lookup.
  • Read references/mcp-tool-contract.md for the canonical status field set and when exact Overlay schemas, outputs, access tiers, or error forms are needed.

© 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

Files

SKILL.md and 9 other files (references) in skills/nvidia-app of NVIDIA/skills.

  • SKILL.md
  • BENCHMARK.md
  • evals/evals.json
  • references/connection.md
  • references/general-tools.md
  • references/mcp-tool-contract.md
  • references/overlay-capture.md
  • references/overlay-state.md
  • skill-card.md
  • skill.oms.sig

Open the folder on GitHubat commit 0e0d506

Compare with similar skills

Nvidia App 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.

Nvidia App compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Nvidia App this skillNVIDIA/skills3.5k—~4.3kAutomated safety check: PassApache-2.0
Memorywhalewuisabel-gif/MemWhale151—~765Automated safety check: PassMIT
Memorywhale Evidencewuisabel-gif/MemWhale151—~459Automated safety check: PassMIT
Memorywhale Debuggingwuisabel-gif/MemWhale151—~370Automated safety check: PassMIT
MCP Server Builderanthropics/skills180k62 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k5 repos~1.2kAutomated safety check: PassMIT

Similar skills

  • Memorywhale

    wuisabel-gif/MemWhale

    Query and write durable debugging memory recorded by MemoryWhale.

    151 GitHub stars~765 tokensUpdated yesterday
    Agent WorkflowsAuto-check passed
  • Memorywhale Evidence

    wuisabel-gif/MemWhale

    Use MemoryWhale debugging evidence when the user requests recall or a recurring failure may have relevant recorded history.

    151 GitHub stars~459 tokensUpdated yesterday
    Agent WorkflowsAuto-check passed
  • Memorywhale Debugging

    wuisabel-gif/MemWhale

    MemoryWhale debugging; compiler failures; terminal diagnostics.

    151 GitHub stars~370 tokensUpdated yesterday
    DevelopmentAuto-check passed
  • MCP Server Builder

    anthropics/skills

    Official

    Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.

    180k GitHub starsUsed in 62 repos~2.3k tokens
    Agent WorkflowsAuto-check passed
  • MCP Server Builder

    shareAI-lab/learn-claude-code

    Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.

    78k GitHub starsUsed in 5 repos~1.2k tokens
    Agent WorkflowsAuto-check passed
  • MCP Integration for Plugins

    anthropics/claude-plugins-official

    Official

    Explains how to bundle Model Context Protocol servers in a Claude Code plugin, covering config files, stdio, SSE, HTTP and WebSocket server types, and authentication.

    37k GitHub starsUsed in 11 repos~3.1k tokens
    Agent WorkflowsAuto-check passed

More from NVIDIA/skills

All 380 skills in this repo
  • Official

    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.

    3.5k GitHub starsUsed in 1 repo~4.5k tokens
    Auto-check passed
  • Official

    Generates, validates, compares and explains HOLOLINK_def.svh macro files for the HSB IP, using bundled Python scripts and asking before it writes anything.

    3.5k GitHub stars~2.9k tokensUpdated today
    Auto-check passed
  • Official

    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.

    3.5k GitHub stars~4.8k tokensUpdated today
    Auto-check passed
  • 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.

    3.5k GitHub stars~5k tokensUpdated today
    Auto-check: notes
  • Orchestrates video data augmentation and auto-labeling workflows on OSMO, from flow selection and preflight checks to submission, monitoring and output download.

    3.5k GitHub stars~4.7k tokensUpdated today
    Auto-check: notes
  • Official

    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.

    3.5k GitHub stars~2.7k tokensUpdated today
    Auto-check: notes

Categories

Questions about Nvidia App

What does Nvidia App do?

NVIDIA App MCP: drivers, games, laptops, overlay. An agent skill from NVIDIA/skills. Nvidia App is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. NVIDIA App MCP: drivers, games, laptops, overlay.

When should I use Nvidia App?

Nvidia App fits situations like: tasks that involve MCP servers.

How do I install Nvidia App in Claude Code?

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

How do I install Nvidia App in Codex?

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

Can I use Nvidia App 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 nvidia-app -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nvidia-app, .gemini/skills/nvidia-app, .github/skills/nvidia-app and .opencode/skills/nvidia-app in your project.

What does Nvidia App need to run?

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

Does Nvidia App 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 Nvidia App 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 Nvidia App use?

Nvidia App 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 Nvidia App use?

About 4.3k tokens (SKILL.md is roughly 17k 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 7.4k tokens, read only when the agent opens those files.

What are the alternatives to Nvidia App?

Skills that share tags, products or a category with Nvidia App: Memorywhale (wuisabel-gif/MemWhale, 151 stars), Memorywhale Evidence (wuisabel-gif/MemWhale, 151 stars), Memorywhale Debugging (wuisabel-gif/MemWhale, 151 stars) and MCP Server Builder (anthropics/skills, 180k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nvidia App?

NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,534 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.