Official agent skill

Nemo Mbridge Perf Tp Dp Comm Overlap

Operational guide for enabling TP, DP, and PP communication overlap in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.

OfficialApache-2.0Auto-check passedAI & LLM Engineering

Install Nemo Mbridge Perf Tp Dp Comm Overlap

skills CLI

$ npx skills add NVIDIA/skills --skill nemo-mbridge-perf-tp-dp-comm-overlap -a claude-code

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

GitHub CLI

$ gh skill install NVIDIA/skills nemo-mbridge-perf-tp-dp-comm-overlap --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/nemo-mbridge-perf-tp-dp-comm-overlap .claude/skills/nemo-mbridge-perf-tp-dp-comm-overlap && 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/

Paste into Claude Code

Install the "nemo-mbridge-perf-tp-dp-comm-overlap" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemo-mbridge-perf-tp-dp-comm-overlap into .claude/skills/nemo-mbridge-perf-tp-dp-comm-overlap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemo-mbridge-perf-tp-dp-comm-overlap", 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

$skill-installer install https://github.com/NVIDIA/skills/tree/main/skills/nemo-mbridge-perf-tp-dp-comm-overlap

Type 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.

skills CLI

$ npx skills add NVIDIA/skills --skill nemo-mbridge-perf-tp-dp-comm-overlap -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install NVIDIA/skills nemo-mbridge-perf-tp-dp-comm-overlap --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/nemo-mbridge-perf-tp-dp-comm-overlap .agents/skills/nemo-mbridge-perf-tp-dp-comm-overlap && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "nemo-mbridge-perf-tp-dp-comm-overlap" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemo-mbridge-perf-tp-dp-comm-overlap into .agents/skills/nemo-mbridge-perf-tp-dp-comm-overlap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemo-mbridge-perf-tp-dp-comm-overlap", 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.

skills CLI

$ npx skills add NVIDIA/skills --skill nemo-mbridge-perf-tp-dp-comm-overlap -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install NVIDIA/skills nemo-mbridge-perf-tp-dp-comm-overlap --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/nemo-mbridge-perf-tp-dp-comm-overlap .cursor/skills/nemo-mbridge-perf-tp-dp-comm-overlap && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "nemo-mbridge-perf-tp-dp-comm-overlap" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemo-mbridge-perf-tp-dp-comm-overlap into .cursor/skills/nemo-mbridge-perf-tp-dp-comm-overlap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemo-mbridge-perf-tp-dp-comm-overlap", 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

$ gemini skills install https://github.com/NVIDIA/skills.git --path skills/nemo-mbridge-perf-tp-dp-comm-overlap

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add NVIDIA/skills --skill nemo-mbridge-perf-tp-dp-comm-overlap -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install NVIDIA/skills nemo-mbridge-perf-tp-dp-comm-overlap --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/nemo-mbridge-perf-tp-dp-comm-overlap .gemini/skills/nemo-mbridge-perf-tp-dp-comm-overlap && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "nemo-mbridge-perf-tp-dp-comm-overlap" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemo-mbridge-perf-tp-dp-comm-overlap into .gemini/skills/nemo-mbridge-perf-tp-dp-comm-overlap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemo-mbridge-perf-tp-dp-comm-overlap", 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.

GitHub CLI

$ gh skill install NVIDIA/skills nemo-mbridge-perf-tp-dp-comm-overlap

Installs 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).

skills CLI

$ npx skills add NVIDIA/skills --skill nemo-mbridge-perf-tp-dp-comm-overlap -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/nemo-mbridge-perf-tp-dp-comm-overlap .github/skills/nemo-mbridge-perf-tp-dp-comm-overlap && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "nemo-mbridge-perf-tp-dp-comm-overlap" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemo-mbridge-perf-tp-dp-comm-overlap into .github/skills/nemo-mbridge-perf-tp-dp-comm-overlap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemo-mbridge-perf-tp-dp-comm-overlap", 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.

skills CLI

$ npx skills add NVIDIA/skills --skill nemo-mbridge-perf-tp-dp-comm-overlap -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install NVIDIA/skills nemo-mbridge-perf-tp-dp-comm-overlap --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/nemo-mbridge-perf-tp-dp-comm-overlap .opencode/skills/nemo-mbridge-perf-tp-dp-comm-overlap && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "nemo-mbridge-perf-tp-dp-comm-overlap" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemo-mbridge-perf-tp-dp-comm-overlap into .opencode/skills/nemo-mbridge-perf-tp-dp-comm-overlap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemo-mbridge-perf-tp-dp-comm-overlap", 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.

Facts

Skill name: nemo-mbridge-perf-tp-dp-comm-overlap
GitHub stars: 3.6k
Token cost: ~924 tokens
SKILL.md length: 145 words
Files: 6
Skills in repo: 390
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Operational guide for enabling TP, DP, and PP communication overlap in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.

Works in 5 steps: TP overlap silently disables itself if… → PP overlap is not enabled for all PP… → bucket_size is a parameter-count knob,… → …
AI & LLM Engineering work in your project
SKILL.md covers Enablement, Code Anchors, Pitfalls and Verification
Calls uv

What it does

Nemo Mbridge Perf Tp Dp Comm Overlap is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Operational guide for enabling TP, DP, and PP communication overlap in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.

Its SKILL.md is about 920 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files (for example `BENCHMARK.md`, `card.yaml` and `evals/evals.json`).

It sits in AI & LLM Engineering. It works with NVIDIA AI Platform and CUDA. 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

AI & LLM Engineering work in your project

Example prompts

“/nemo-mbridge-perf-tp-dp-comm-overlap”

Requirements

Python 3

Workflow steps

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

TP overlap silently disables itself if sequence_parallel=False or Transformer Engine is unavailable.
PP overlap is not enabled for all PP cases. Bridge only auto-selects overlap_p2p_comm=True when PP > 1 and VPP > 1.
bucket_size is a parameter-count knob, not a byte-size knob.
grad_reduce_in_fp32 and fp8_param_gather should be set through mixed precision, not as standalone DDP tuning first.
CUDA_DEVICE_MAX_CONNECTIONS and LayerNorm SM margin are launch-time plugin settings, not CommOverlapConfig fields.

What it can do on your machine

Read from SKILL.md and the folder at commit 14a98ae. 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
Shell commands in SKILL.md call:
- uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
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

Nemo Mbridge Perf Tp Dp Comm Overlap loads about 924 tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 145 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~48
When it runs · the whole SKILL.md, loaded when a task matches: ~924

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 14a98ae, republished under its Apache-2.0 licence (© NVIDIA). 145 words, ~924 tokens.

Download SKILL.mdSave it as .claude/skills/nemo-mbridge-perf-tp-dp-comm-overlap/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.

name: nemo-mbridge-perf-tp-dp-comm-overlap
description: Operational guide for enabling TP, DP, and PP communication overlap in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.
license: Apache-2.0
when_to_use: Enabling TP/DP/PP comm overlap, or tracing a throughput regression to a comm overlap config change; 'overlap_param_gather', 'overlap_grad_reduce'…

TP / DP / PP Communication Overlap Skill

For stable background and recommendation level, see:

@docs/training/communication-overlap.md

Enablement

Minimal Bridge override:

python

from megatron.bridge.training.comm_overlap import CommOverlapConfig

cfg.model.tensor_model_parallel_size = 4
cfg.model.sequence_parallel = True
cfg.model.pipeline_model_parallel_size = 4
cfg.model.virtual_pipeline_model_parallel_size = 2

cfg.comm_overlap = CommOverlapConfig(
    tp_comm_overlap=True,
)

cfg.ddp.use_distributed_optimizer = True
cfg.ddp.overlap_grad_reduce = True
cfg.ddp.overlap_param_gather = True

Optional TP preset:

python

from megatron.bridge.training.comm_overlap import userbuffers_bf16_h100_h12288_tp4_mbs1_seqlen2048

cfg.comm_overlap.tp_comm_overlap_cfg = userbuffers_bf16_h100_h12288_tp4_mbs1_seqlen2048

Precision knobs belong to mixed precision:

python

cfg.mixed_precision.grad_reduce_in_fp32 = False
cfg.mixed_precision.fp8_param_gather = False

Code Anchors

Bridge overlap gating:

439449srcmegatronbri

if self.user_comm_overlap_cfg.tp_comm_overlap is True:
    if model_cfg.tensor_model_parallel_size < 2:
        ...
    elif not model_cfg.sequence_parallel:
        ...
    elif not HAVE_TE:
        ...

PP overlap selection:

451458srcmegatronbri

if model_cfg.pipeline_model_parallel_size > 1:
    if vp_size > 1:
        comm_overlap_cfg.overlap_p2p_comm = True
        comm_overlap_cfg.batch_p2p_comm = False
    else:
        comm_overlap_cfg.overlap_p2p_comm = False
        comm_overlap_cfg.batch_p2p_comm = True

DP overlap defaults:

572579srcmegatronbri

if self.data_parallel_size > 1:
    comm_overlap_cfg.bucket_size = 128 * 1024 * 1024
    comm_overlap_cfg.overlap_grad_reduce = True
    comm_overlap_cfg.overlap_param_gather = True

Launch-time env tuning:

570609srcmegatronbri

executor.env_vars["CUDA_DEVICE_MAX_CONNECTIONS"] = str(cuda_device_max_connections)
...
executor.env_vars["NVTE_FWD_LAYERNORM_SM_MARGIN"] = str(self.layernorm_sm_margin)
executor.env_vars["NVTE_BWD_LAYERNORM_SM_MARGIN"] = str(self.layernorm_sm_margin)

Pitfalls

TP overlap silently disables itself if sequence_parallel=False or Transformer Engine is unavailable.
PP overlap is not enabled for all PP cases. Bridge only auto-selects overlap_p2p_comm=True when PP > 1 and VPP > 1.
bucket_size is a parameter-count knob, not a byte-size knob.
grad_reduce_in_fp32 and fp8_param_gather should be set through mixed precision, not as standalone DDP tuning first.
CUDA_DEVICE_MAX_CONNECTIONS and LayerNorm SM margin are launch-time plugin settings, not CommOverlapConfig fields.

Verification

Use the checked-in overlap unit coverage first:

bash

uv run python -m pytest tests/unit_tests/training/test_comm_overlap.py -q

Optional second check if nemo_run is available:

bash

uv run python -m pytest tests/unit_tests/recipes/test_run_plugins.py -q

Success criteria:

first command reports 26 passed
second command validates plugin-owned env wiring when not skipped

Files

SKILL.md and 5 other files in skills/nemo-mbridge-perf-tp-dp-comm-overlap of NVIDIA/skills.

SKILL.md
BENCHMARK.md
card.yaml
evals/evals.json
skill-card.md
skill.oms.sig

Open the folder on GitHubat commit 14a98ae

Compare with similar skills

Nemo Mbridge Perf Tp Dp Comm Overlap 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.

Nemo Mbridge Perf Tp Dp Comm Overlap compared with similar skills
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Optimize OpCVCUDA/CV-CUDA	2.7k	—	~834	Automated safety check: Pass	Custom licence	23 days ago
Cutlass SkillslowlyC/agent-gpu-skills	169	—	~1.3k	Automated safety check: Pass	MIT	2 mo ago
Setup Workshop Nemoclawbrevdev/workshop-build-an-agent	146	—	~5.2k	Automated safety check: Pass	Apache-2.0	2 days ago

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Works with

Questions about Nemo Mbridge Perf Tp Dp Comm Overlap

What does Nemo Mbridge Perf Tp Dp Comm Overlap do?

Operational guide for enabling TP, DP, and PP communication overlap in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification. Nemo Mbridge Perf Tp Dp Comm Overlap is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Operational guide for enabling TP, DP, and PP communication overlap in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.

When should I use Nemo Mbridge Perf Tp Dp Comm Overlap?

Nemo Mbridge Perf Tp Dp Comm Overlap fits situations like: AI & LLM Engineering work in your project.

How do I install Nemo Mbridge Perf Tp Dp Comm Overlap in Claude Code?

Run `npx skills add NVIDIA/skills --skill nemo-mbridge-perf-tp-dp-comm-overlap -a claude-code`. Or copy the skill folder (skills/nemo-mbridge-perf-tp-dp-comm-overlap in NVIDIA/skills) into .claude/skills/nemo-mbridge-perf-tp-dp-comm-overlap in your project. Claude Code loads it when a task matches its description.

How do I install Nemo Mbridge Perf Tp Dp Comm Overlap in Codex?

Run `npx skills add NVIDIA/skills --skill nemo-mbridge-perf-tp-dp-comm-overlap -a codex`. Or copy the skill folder (skills/nemo-mbridge-perf-tp-dp-comm-overlap in NVIDIA/skills) into .agents/skills/nemo-mbridge-perf-tp-dp-comm-overlap in your project. Codex loads it when a task matches its description.

Can I use Nemo Mbridge Perf Tp Dp Comm Overlap 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 nemo-mbridge-perf-tp-dp-comm-overlap -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nemo-mbridge-perf-tp-dp-comm-overlap, .gemini/skills/nemo-mbridge-perf-tp-dp-comm-overlap, .github/skills/nemo-mbridge-perf-tp-dp-comm-overlap and .opencode/skills/nemo-mbridge-perf-tp-dp-comm-overlap in your project.

What does Nemo Mbridge Perf Tp Dp Comm Overlap need to run?

Going by SKILL.md and its folder, Nemo Mbridge Perf Tp Dp Comm Overlap needs the command-line tools its instructions call (uv). Our summary lists: Python 3.

Does Nemo Mbridge Perf Tp Dp Comm Overlap access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Nemo Mbridge Perf Tp Dp Comm Overlap 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 Nemo Mbridge Perf Tp Dp Comm Overlap use?

Nemo Mbridge Perf Tp Dp Comm Overlap is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Nemo Mbridge Perf Tp Dp Comm Overlap use?

About 924 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Nemo Mbridge Perf Tp Dp Comm Overlap?

Skills that share tags, products or a category with Nemo Mbridge Perf Tp Dp Comm Overlap: Graphsignal (graphsignal/graphsignal, 257 stars), LLM Torch Profiler Trace Analysis (BBuf/AI-Infra-Auto-Driven-SKILLS, 938 stars), Optimize Op (CVCUDA/CV-CUDA, 2.7k stars) and Cutlass Skill (slowlyC/agent-gpu-skills, 169 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nemo Mbridge Perf Tp Dp Comm Overlap?

NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,555 GitHub stars. The repository holds 390 skills in this directory. The repository was last updated on October 9, 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.

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TP / DP / PP Communication Overlap Skill

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