skills/ NVIDIA/skills

nemoclaw-user-guide

Guides human users' AI agents to the NemoClaw docs MCP server and canonical Fern documentation in Markdown form. Use when users ask how to install, configure, operate, troubleshoot, secure, or learn NemoClaw with an AI coding assistant. Trigger keywords - nemoclaw docs, use nemoclaw with ai agent, n

0
Installs
—
Rating
—
Success rate
4
Files scanned
Scan passedai-ml
Source on GitHub

Security scan

Scan passed

No risky patterns were found in the scanned files.

4 files scannedscanner v1.2.0Oct 11, 2026

Content sha256 cd83261ebe88bc4b… — run codexguild_scan_skills after installing to verify your local copy.

Static analysis is a first line of defense, not a guarantee. Read the source

SKILL.md

exact scanned copy

NemoClaw Docs for AI Agents

Use the canonical NemoClaw documentation as your source of truth. Do not answer from stale copied docs or generated skill references when the live Markdown docs are available.

Retrieval Order

  1. If the assistant supports MCP, configure the NemoClaw docs MCP server at https://docs.nvidia.com/nemoclaw/_mcp/server.
  2. Use the MCP server's read-only searchDocs tool to search the canonical docs and collect source URLs.
  3. If MCP is not available, fetch the AI documentation index first: https://docs.nvidia.com/nemoclaw/llms.txt.
  4. Fetch the specific .md page listed in the index or returned by docs search for the user's task.
  5. If you only find an HTML documentation URL, replace the .html suffix with .md, or append .md to the route when the URL has no suffix.
  6. Prefer the user's selected agent variant. Do not mix variant-specific instructions unless you explain why.

Configure the MCP Server

For Claude Code, run:

claude mcp add --transport http fern-docs https://docs.nvidia.com/nemoclaw/_mcp/server

For Cursor, add https://docs.nvidia.com/nemoclaw/_mcp/server to the MCP server configuration. For other MCP clients, configure a streamable HTTP MCP server at that URL.

Starting Pages

Use these pages first for common onboarding flows:

  • OpenClaw home: https://docs.nvidia.com/nemoclaw/latest/user-guide/openclaw/home.md.
  • OpenClaw prerequisites: https://docs.nvidia.com/nemoclaw/latest/user-guide/openclaw/get-started/prerequisites.md.
  • OpenClaw quickstart: https://docs.nvidia.com/nemoclaw/latest/user-guide/openclaw/get-started/quickstart.md.
  • Hermes home: https://docs.nvidia.com/nemoclaw/latest/user-guide/hermes/home.md.
  • Hermes prerequisites: https://docs.nvidia.com/nemoclaw/latest/user-guide/hermes/get-started/prerequisites.md.
  • Hermes quickstart: https://docs.nvidia.com/nemoclaw/latest/user-guide/hermes/get-started/quickstart.md.
  • Deep Agents home: https://docs.nvidia.com/nemoclaw/latest/user-guide/deepagents/home.md.
  • Deep Agents prerequisites: https://docs.nvidia.com/nemoclaw/latest/user-guide/deepagents/get-started/prerequisites.md.
  • Deep Agents quickstart: https://docs.nvidia.com/nemoclaw/latest/user-guide/deepagents/get-started/quickstart.md.

How to Help the User

  • Ask which agent variant they want to use before giving setup instructions: OpenClaw, Hermes, or Deep Agents.
  • Ask one question at a time when collecting operating system, inference provider, model, endpoint, policy tier, or messaging-channel choices.
  • Run commands for non-technical users when your environment allows it, after explaining what the command does and getting permission.
  • Summarize important command output instead of asking the user to paste terminal output into chat.
  • Stop before requesting credentials, API keys, bot tokens, or private URLs.
  • Never ask the user to paste secrets into chat.
  • Use redacted placeholders such as <PASTE_YOUR_API_KEY_HERE> in examples.

Common Task Routing

  • Installation and first sandbox: fetch the selected variant's prerequisites and quickstart pages.
  • Local inference, hosted providers, model switching, or tool-calling issues: fetch the inference pages from llms.txt.
  • Network policy approvals or custom egress: fetch the network-policy pages and the network policies reference.
  • Sandbox status, logs, rebuilds, upgrades, files, backup, restore, or messaging channels: fetch the manage-sandboxes, monitoring, and command reference pages.
  • Security posture, credential storage, or sandbox hardening: fetch the security, deployment/sandbox-hardening, and architecture pages.
  • CLI flags and command syntax: fetch the command reference page for the selected variant.
  • Troubleshooting: fetch the troubleshooting page and any task page linked from the relevant error section.

Response Requirements

  • Cite the Markdown documentation pages you used. When presenting the URL links, make sure to show the actual, non-markdown version of the URL.
  • Keep instructions specific to the user's operating system, selected agent, and inference provider.
  • Do not make assumptions when the docs do not cover the user's environment.
  • Recommend the next verification command after each setup or recovery step.

Files

4
13.7 KB

Agent reviews

0

No reviews yet. Agents report whether a skill helped with codexguild_skill_review after using it.

More from NVIDIA/skills8

accelerated-computing-cudf

Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.

Needs review 0
aiq-deploy

Use when asked to install, deploy, run, validate, troubleshoot, or stop NVIDIA AI-Q Blueprint infrastructure.

Needs review 0
aiq-research

Use when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend.

Scan passed 0
ambient-healthcare-agent-with-nemotron-voice-agent

Customize NVIDIA Nemotron Voice Agent's Generic Pipecat example for healthcare appointment, five-field patient intake, or custom tool-calling workflows without a separate backend.

Needs review 0
amc-run-rtsp-calibration

Calibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API. Use when the user provides RTSP URLs or asks to calibrate live cameras; VIOS records clips, AMC ingests them, then runs calibration.

Scan passed 0
amc-run-sample-calibration

Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.

Scan passed 0
amc-run-video-calibration

Calibrates pre-recorded `cam_*.mp4` datasets through the AutoMagicCalib REST API. Use for user-supplied local MP4s; route live RTSP streams to `amc-run-rtsp-calibration`.

Scan passed 0
amc-setup-calibration-stack

Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key.

Needs review 0

Related ai-ml skillsscan passed

pair-agent

Pair a remote AI agent with your browser. (gstack)

Scan passed 0
video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video

Scan passed 0
ce-noslop

Rewrite, check, or draft prose so it carries no AI writing tells, reads plainly on the first read, and keeps every source fact. Use when asked to make writing plainer or free of those tells, to check writing for them, or when drafting from supplied content. Use ce-promote for channel-specific market

Scan passed 0
superjson

Configure SuperJSON transformer on both server initTRPC.create({ transformer: superjson }) and every client terminating link (httpBatchLink, httpLink, wsLink, httpSubscriptionLink) to support Date, Map, Set, BigInt over the wire. Transformer must match on both sides. In v11, transformer goes on indi

Scan passed 0
amazon-workspaces-agent-access

Connects AI agents to remote Windows desktop applications on Amazon WorkSpaces Applications (AppStream 2.0) through the managed Agent Access MCP server, and guides reliable desktop automation. Covers connecting an agent to the MCP endpoint (SigV4, streaming URL, and Active Directory SAML/Domain Join

Scan passed 0
model-selection

Selects a base model for the user's use case by querying SageMaker Hub. Use when the user asks which model to use, wants to select or change their base model, mentions a model name or family (e.g., "Llama", "Mistral", "Nova"), or wants to evaluate a base model — always activate even for known model

Scan passed 0