What does this skill do, and when should you use it?
This skill helps AI agents use NVIDIA’s canonical NemoClaw documentation in Fern Markdown form. It prioritizes the NemoClaw docs MCP server, with an llms.txt index fallback when MCP is unavailable. It routes questions about installation, configuration, inference, network policy, sandbox management, security, and troubleshooting to relevant documentation. It is intended for users deploying and operating NemoClaw with OpenClaw, Hermes, or Deep Agents.
It instructs an agent to configure https://docs.nvidia.com/nemoclaw/_mcp/server and search documentation with the read-only searchDocs tool; without MCP, it reads https://docs.nvidia.com/nemoclaw/llms.txt and then fetches the relevant Markdown page. It routes requests based on the selected agent variant, operating system, and inference provider to prerequisite, quickstart, inference, network-policy, sandbox-management, monitoring, security, or troubleshooting pages. It also requires citations to the Markdown documentation pages used.
- A user needs to install NemoClaw with OpenClaw, Hermes, or Deep Agents.
- A user is troubleshooting local inference, hosted providers, model switching, or tool calling.
- A user needs network-policy approvals or custom egress configuration.
- A user needs sandbox status, logs, rebuilds, upgrades, backup, restore, or messaging-channel guidance.
- A user needs guidance on credential storage, sandbox hardening, or security posture.
How do you install this skill?
- The core workflow depends on the external docs.nvidia.com MCP/Markdown service; verify reachability in restricted or mainland-China networks and prepare an offline or manual fallback.
- Do not treat the official-docs claim or the benchmark PASS verdict as proof of runtime correctness; the benchmark has no actual values or reproducible experiment details.
- Before executing installation, configuration, or network-policy commands produced through this skill, review permissions, target environment, credential handling, and rollback steps.
- Add concrete MCP/network failure diagnostics, non-fit boundaries, examples, version change history, and an explicit maintenance/update path.
- Shell / CLI
- Network access
- MCP Server
NemoClaw docs MCP server
Install the specific skill from NVIDIA’s collection with:
npx skills add nvidia/skills --skill nemoclaw-user-guide --yes
The README does not document a standalone installation directory or another installation method.
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/NVIDIA/skills.git "$tmp"
mkdir -p ~/.claude/skills
cp -R "$tmp/skills/nemoclaw-user-guide" ~/.claude/skills/
rm -rf "$tmp"Generated from the source repository and skill path; it copies only this skill's folder. If the author's install steps above differ, follow those first. To scope it to one project, replace ~/.claude/skills with that project's .claude/skills.
How do you use this skill?
Once installed, send your agent any of these to trigger it:
- Help me install NemoClaw with OpenClaw.
First tell the agent which variant you want to use: OpenClaw, Hermes, or Deep Agents. Then make a concrete request such as “Help me install NemoClaw with OpenClaw.” The agent should retrieve the canonical Markdown documentation and tailor steps to your operating system and inference provider. Do not paste API keys, bot tokens, or other secrets into chat.
What are this skill's strengths and limitations?
- Uses live canonical documentation as the source of truth.
- Covers installation, operations, security, network policy, and troubleshooting routes.
- Explicitly supports OpenClaw, Hermes, and Deep Agents.
- Requires documentation citations and a verification command after setup or recovery steps.
- The SKILL.md does not contain OS-, inference-provider-, or model-specific procedures; actual instructions depend on the online docs.
- The MCP server and NemoClaw documentation URLs require network access.
- No test suite, offline documentation bundle, or concrete credential-configuration implementation is provided.
- The repository metadata lists the license as NOASSERTION, while this skill declares Apache-2.0.
How does this skill compare with similar options?
Side by side with related skills; every score comes from the same FSRS standard.
| Skill | FS score | Stars | Last updated | License |
|---|---|---|---|---|
| NemoClaw AI Agent User Guide this page ✓ NVIDIA · Official | 54 · Use with care | ★ 3.8k | today | Apache-2.0 |
| Cua Spaces (cua-spaces skill) | 46 · Use with care | ★ 30k | 14d ago | MIT |
| Cua Driver GUI Automation Skill | 61 · Recommended | ★ 30k | 14d ago | MIT |
| Cua Driver Skill | 58 · Recommended | ★ 30k | 14d ago | MIT |
| Cua Volume Skill | 52 · Use with care | ★ 30k | 14d ago | MIT |
How did FollowSkills review this skill?
The skill explicitly prefers a read-only documentation MCP, requires confirmation before running commands, forbids requesting or pasting secrets, uses redacted placeholders, and cites canonical NVIDIA documentation. Six points are deducted because external data-flow, network trust boundaries, rollback, and recovery procedures are not specified, while the command examples can still cause external effects.
Retrieval order, variant selection, fallback behavior, and troubleshooting routes are internally coherent, and the skill discourages guessing while requiring verification commands. Two points are deducted because it lacks concrete diagnostics for MCP failure, missing pages, URL transformation errors, or restricted networks; static review cannot establish runtime reliability.
The audience, scenarios, three agent variants, and trigger keywords are reasonably explicit, and the skill requests environment choices incrementally. Five points are deducted because non-fit boundaries, exclusion triggers, operating-system coverage, and Chinese-language support are unspecified; the core function depends on docs.nvidia.com without evidence of mainland-China reachability.
The document has readable sections for retrieval, configuration, starting pages, routing, and response requirements; the skill card adds owner, Apache 2.0 licensing, use case, dependencies, risks, references, and a version identifier. Six points are deducted for missing recommended Instructions and Examples sections, inconsistent version/revision signals, limited changelog and maintenance-path detail, and repository license metadata marked NOASSERTION.
The skill can route installation, variant, inference, network-policy, and troubleshooting requests to canonical Markdown pages while requiring citations and verification steps. Ten points are deducted because the benchmark reports N/A for every actual metric, the evaluation dataset is unavailable, and no representative output is verified, so only partial task value is supported statically.
The fixed revision, official documentation endpoints, evaluation cases, and benchmark report provide some auditability. Seven points are deducted because benchmark values are N/A, Tier 3 details and the dataset are unavailable, and no committed CI or test suite reproduces the skill's key paths; the evidence remains largely author-reported.
Open a dimension to read why it scored that way
Evidence confidence：Low — Mostly static review, author material or a limited demo; useful for discovery, not high-risk decisions.
See the full review method →