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nemoclaw-user-guide — Claude Code skill: what it does, how to install

Directs AI assistants to official NemoClaw docs via an MCP server or llms.txt. Useful when installing, running, or troubleshooting OpenClaw, Hermes, and Deep Agents.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add NVIDIA/skills --skill nemoclaw-user-guide -a claude-code
Open on GitHub

What nemoclaw-user-guide does

The skill instructs the coding assistant to rely strictly on official NemoClaw documentation rather than stale training data. It prioritizes connecting to the HTTP MCP server at https://docs.nvidia.com/nemoclaw/_mcp/server using the read-only searchDocs tool. When MCP is unavailable, the assistant falls back to fetching https://docs.nvidia.com/nemoclaw/llms.txt to locate and read Markdown pages.

Guidance covers three distinct agent variants: OpenClaw, Hermes, and Deep Agents. The skill prevents mixing variant-specific setups and requires the assistant to confirm the user's variant first. Questions regarding inference providers or network policies must be asked one by one to avoid overwhelming setup dialogues.

Security rules are explicit. The assistant never asks the user to paste bot tokens or API keys into the chat. Instead, it must insert placeholders such as <PASTE_YOUR_API_KEY_HERE> and recommend a verification command after each setup action.

What it helps with

  • connect canonical NemoClaw documentation via an HTTP MCP server
  • locate setup guides for OpenClaw, Hermes, or Deep Agents
  • configure local or cloud inference providers for sandboxes
  • keep API keys and credentials out of the assistant chat
  • get step-by-step verification commands after sandbox changes

Example prompts for the agent

  • Help me set up an OpenClaw sandbox using canonical NemoClaw docs
  • How do I configure network policies and check logs for Hermes using NemoClaw documentation?
  • Connect the NemoClaw docs and walk me through the Deep Agents quickstart

How to install nemoclaw-user-guide

1Skills CLI (Vercel)

npx skills add NVIDIA/skills --skill nemoclaw-user-guide -a claude-code

2Manually: put the files in place

~/.claude/skills/nemoclaw-user-guide/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/nemoclaw-user-guide/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about nemoclaw-user-guide

How do I install nemoclaw-user-guide in Claude Code?

Run npx skills add NVIDIA/skills --skill nemoclaw-user-guide -a claude-code. The skill file is placed at ~/.claude/skills/nemoclaw-user-guide/SKILL.md.

What does nemoclaw-user-guide do?

It directs your AI assistant to search live NemoClaw docs through an MCP server or the llms.txt index. This avoids hallucinated instructions and keeps OpenClaw, Hermes, and Deep Agents environments isolated.

How do I configure the NemoClaw docs MCP server directly in Claude Code?

Run claude mcp add --transport http fern-docs https://docs.nvidia.com/nemoclaw/_mcp/server. This enables the read-only searchDocs tool to query the canonical Fern documentation.

Source text

SKILL.md · Apache-2.0
---
name: "nemoclaw-user-guide"
description: "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, nemoclaw mcp docs, nemoclaw install help, nemoclaw quickstart, nemoclaw markdown docs, llms.txt, agent skills."
license: "Apache-2.0"
---

# 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:

```bash
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.

© NVIDIA · Apache-2.0 · NVIDIA/skills

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