Megatron GB200 One-Node Test Onboarding
NVIDIA/Megatron-LM
Creates one-node GitHub merge-request variants of existing two-node GB200 functional tests in Megatron-LM, adjusting parallelism settings to fit four GPUs.
Analyze retained NemoClaw CI timings for slow CLI tests, runner queues, or base-image publication.
$ npx skills add NVIDIA/NemoClaw --skill nemoclaw-maintainer-analyze-ci-performance -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/NemoClaw nemoclaw-maintainer-analyze-ci-performance --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/NVIDIA/NemoClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/nemoclaw-maintainer-analyze-ci-performance .claude/skills/nemoclaw-maintainer-analyze-ci-performance && rm -rf skills-srcUse ~/.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/
Install the "nemoclaw-maintainer-analyze-ci-performance" agent skill from https://github.com/NVIDIA/NemoClaw/tree/main/.agents/skills/nemoclaw-maintainer-analyze-ci-performance into .claude/skills/nemoclaw-maintainer-analyze-ci-performance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemoclaw-maintainer-analyze-ci-performance", 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 install https://github.com/NVIDIA/NemoClaw/tree/main/.agents/skills/nemoclaw-maintainer-analyze-ci-performanceType 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.
$ npx skills add NVIDIA/NemoClaw --skill nemoclaw-maintainer-analyze-ci-performance -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/NemoClaw nemoclaw-maintainer-analyze-ci-performance --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/NemoClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/nemoclaw-maintainer-analyze-ci-performance .agents/skills/nemoclaw-maintainer-analyze-ci-performance && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nemoclaw-maintainer-analyze-ci-performance" agent skill from https://github.com/NVIDIA/NemoClaw/tree/main/.agents/skills/nemoclaw-maintainer-analyze-ci-performance into .agents/skills/nemoclaw-maintainer-analyze-ci-performance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemoclaw-maintainer-analyze-ci-performance", 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.
$ npx skills add NVIDIA/NemoClaw --skill nemoclaw-maintainer-analyze-ci-performance -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/NemoClaw nemoclaw-maintainer-analyze-ci-performance --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/NemoClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/nemoclaw-maintainer-analyze-ci-performance .cursor/skills/nemoclaw-maintainer-analyze-ci-performance && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "nemoclaw-maintainer-analyze-ci-performance" agent skill from https://github.com/NVIDIA/NemoClaw/tree/main/.agents/skills/nemoclaw-maintainer-analyze-ci-performance into .cursor/skills/nemoclaw-maintainer-analyze-ci-performance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemoclaw-maintainer-analyze-ci-performance", 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 https://github.com/NVIDIA/NemoClaw.git --path .agents/skills/nemoclaw-maintainer-analyze-ci-performance--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add NVIDIA/NemoClaw --skill nemoclaw-maintainer-analyze-ci-performance -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/NemoClaw nemoclaw-maintainer-analyze-ci-performance --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/NemoClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/nemoclaw-maintainer-analyze-ci-performance .gemini/skills/nemoclaw-maintainer-analyze-ci-performance && rm -rf skills-srcUse ~/.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/
Install the "nemoclaw-maintainer-analyze-ci-performance" agent skill from https://github.com/NVIDIA/NemoClaw/tree/main/.agents/skills/nemoclaw-maintainer-analyze-ci-performance into .gemini/skills/nemoclaw-maintainer-analyze-ci-performance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemoclaw-maintainer-analyze-ci-performance", 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.
$ gh skill install NVIDIA/NemoClaw nemoclaw-maintainer-analyze-ci-performanceInstalls 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).
$ npx skills add NVIDIA/NemoClaw --skill nemoclaw-maintainer-analyze-ci-performance -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/NemoClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/nemoclaw-maintainer-analyze-ci-performance .github/skills/nemoclaw-maintainer-analyze-ci-performance && rm -rf skills-srcUse ~/.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/
Install the "nemoclaw-maintainer-analyze-ci-performance" agent skill from https://github.com/NVIDIA/NemoClaw/tree/main/.agents/skills/nemoclaw-maintainer-analyze-ci-performance into .github/skills/nemoclaw-maintainer-analyze-ci-performance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemoclaw-maintainer-analyze-ci-performance", 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.
$ npx skills add NVIDIA/NemoClaw --skill nemoclaw-maintainer-analyze-ci-performance -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NVIDIA/NemoClaw nemoclaw-maintainer-analyze-ci-performance --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/NemoClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/nemoclaw-maintainer-analyze-ci-performance .opencode/skills/nemoclaw-maintainer-analyze-ci-performance && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "nemoclaw-maintainer-analyze-ci-performance" agent skill from https://github.com/NVIDIA/NemoClaw/tree/main/.agents/skills/nemoclaw-maintainer-analyze-ci-performance into .opencode/skills/nemoclaw-maintainer-analyze-ci-performance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemoclaw-maintainer-analyze-ci-performance", 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.
nemoclaw-maintainer-analyze-ci-performanceAnalyze retained NemoClaw CI timings for slow CLI tests, runner queues, or base-image publication.
Nemoclaw Maintainer Analyze CI Performance is an agent skill from NVIDIA/NemoClaw, published by the product's own GitHub organization. Analyze retained NemoClaw CI timings for slow CLI tests, runner queues, or base-image publication.
Its SKILL.md is about 640 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts (for example `agents/openai.yaml`).
It sits in Testing & QA. It works with NVIDIA AI Platform and GitHub. The repository describes itself as: Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 4e3bf44. It shows what the files ask for, not the result of running them.
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.
Ships 4 files in scripts/ (TypeScript), which the agent can run.
Shell commands in SKILL.md call:
nodeFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Nemoclaw Maintainer Analyze CI Performance loads about 644 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 248 words of instructions outside code blocks.
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.
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); the scripts in this folder are not scanned.
The full file from NVIDIA/NemoClaw at commit 4e3bf44, republished under its Apache-2.0 licence (© NVIDIA). 248 words, ~644 tokens.
.claude/skills/nemoclaw-maintainer-analyze-ci-performance/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.<!-- SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. -->
<!-- SPDX-License-Identifier: Apache-2.0 -->
Run one read-only standalone analyzer from a NemoClaw checkout. Both commands use authenticated gh reads and print bounded JSON to stdout. They perform no GitHub writes.
Use retained cli-vitest-results artifacts to rank consistently slow tests and files. The CI workflow retains this historical input for 14 days:
node --no-warnings \
.agents/skills/nemoclaw-maintainer-analyze-ci-performance/scripts/analyze-recent-cli-timings.mts \
--workdir "$PWD"Defaults preserve the former timing tool contract: repository NVIDIA/NemoClaw, 10 reports, 15 results, a 0.7 minimum sample ratio, and artifact name cli-vitest-results. Optional flags are --repo, --limit, --top, --min-sample-ratio, and --artifact-name.
The analyzer requires at least two usable retained reports. It rejects compressed artifacts above 25,000,000 bytes and bounds ZIP entries, expanded content, listings, and report content. It requires Bash, GNU dd and find, Info-ZIP zipinfo and unzip, awk, base64, mktemp, stat, and wc on Linux.
Compare main-push E2E runs that publish a same-commit base image with runs that reuse a prior publication:
node --no-warnings \
.agents/skills/nemoclaw-maintainer-analyze-ci-performance/scripts/analyze-base-image-publication-timings.mts \
--workdir "$PWD"Defaults preserve the former timing tool contract: repository NVIDIA/NemoClaw, 300 E2E runs, 500 base-image runs, and up to 150 systematic samples per stratum. Optional flags are --repo, --e2e-limit, --base-limit, and --max-per-stratum.
Report the population window and stratum sizes before statistics. Treat atLeast30SuccessfulJobs: false as insufficient evidence for stable inference. Job execution, verifier, workflow completion, runner queue, and matrix-boundary measurements use successful publication jobs only.
Do not combine this workflow with pull request value-stream analysis. Load nemoclaw-maintainer-analyze-pr-value-stream for a complete PR lifetime trace. Stop on GitHub authentication or authorization failure and follow the repository GitHub access hard stop.
© 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
SKILL.md and 5 other files (scripts) in .agents/skills/nemoclaw-maintainer-analyze-ci-performance of NVIDIA/NemoClaw.
Open the folder on GitHubat commit 4e3bf44
Nemoclaw Maintainer Analyze CI Performance 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Nemoclaw Maintainer Analyze CI Performance this skillNVIDIA/NemoClaw | 23k | — | ~644 | Automated safety check: Pass | Apache-2.0 | |
| Megatron GB200 One-Node Test OnboardingNVIDIA/Megatron-LM | 18k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Mcore TestingNVIDIA/skills | 3.6k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Megatron-LM CI Failure TriageNVIDIA/Megatron-LM | 18k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Respond To IssueNVIDIA/Megatron-LM | 18k | — | ~915 | Automated safety check: Pass | Custom licence | |
| Doca Public Knowledge MapNVIDIA/skills | 3.6k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 |
NVIDIA/Megatron-LM
Creates one-node GitHub merge-request variants of existing two-node GB200 functional tests in Megatron-LM, adjusting parallelism settings to fit four GPUs.
NVIDIA/skills
Test system for Megatron-LM. An agent skill from NVIDIA/skills.
NVIDIA/Megatron-LM
Investigates a failing GitHub Actions run or job for Megatron-LM, finds the root cause plus the PR and test author involved, and files a structured bug issue.
NVIDIA/Megatron-LM
Research and draft a response to a GitHub issue or question from an external contributor.
NVIDIA/skills
A skill your agent uses when the user needs to locate authoritative information about NVIDIA DOCA without access to the source tree — finding the right docs.nvidia.com page for a…
decolua/9router
Generates vector embeddings through the 9Router /v1/embeddings endpoint, using models from providers such as OpenAI, Gemini, Mistral and Voyage for RAG and semantic search.
NVIDIA/NemoClaw
Find open issues that a NemoClaw PR may also fix or conflict with.
NVIDIA/NemoClaw
Run a NemoClaw daytime maintainer pass over release-targeted work.
NVIDIA/NemoClaw
Remove bracketed NemoClaw tags from GitHub issue and PR titles.
NVIDIA/NemoClaw
Audit and implement a NemoClaw dependency version upgrade, including Hermes and base images.
NVIDIA/NemoClaw
Continuously maintain automatic NemoClaw main E2E results through coordinated repairs.
NVIDIA/NemoClaw
Analyze one NemoClaw PR lifetime to identify contributor, review, and automation delays or compare it with a latency target.
Works with
Categories
Analyze retained NemoClaw CI timings for slow CLI tests, runner queues, or base-image publication. Nemoclaw Maintainer Analyze CI Performance is an agent skill from NVIDIA/NemoClaw, published by the product's own GitHub organization. Analyze retained NemoClaw CI timings for slow CLI tests, runner queues, or base-image publication.
Nemoclaw Maintainer Analyze CI Performance fits situations like: testing & QA work in your project.
Run `npx skills add NVIDIA/NemoClaw --skill nemoclaw-maintainer-analyze-ci-performance -a claude-code`. Or copy the skill folder (.agents/skills/nemoclaw-maintainer-analyze-ci-performance in NVIDIA/NemoClaw) into .claude/skills/nemoclaw-maintainer-analyze-ci-performance in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/NemoClaw --skill nemoclaw-maintainer-analyze-ci-performance -a codex`. Or copy the skill folder (.agents/skills/nemoclaw-maintainer-analyze-ci-performance in NVIDIA/NemoClaw) into .agents/skills/nemoclaw-maintainer-analyze-ci-performance in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/NemoClaw --skill nemoclaw-maintainer-analyze-ci-performance -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nemoclaw-maintainer-analyze-ci-performance, .gemini/skills/nemoclaw-maintainer-analyze-ci-performance, .github/skills/nemoclaw-maintainer-analyze-ci-performance and .opencode/skills/nemoclaw-maintainer-analyze-ci-performance in your project.
Going by SKILL.md and its folder, Nemoclaw Maintainer Analyze CI Performance needs TypeScript for the scripts in its folder and the command-line tools its instructions call (node).
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.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Nemoclaw Maintainer Analyze CI Performance 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.
About 644 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Nemoclaw Maintainer Analyze CI Performance: Megatron GB200 One-Node Test Onboarding (NVIDIA/Megatron-LM, 18k stars), Mcore Testing (NVIDIA/skills, 3.6k stars), Megatron-LM CI Failure Triage (NVIDIA/Megatron-LM, 18k stars) and Respond To Issue (NVIDIA/Megatron-LM, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/NemoClaw, which has 22,706 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on October 11, 2026.
Source: NVIDIA/NemoClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.