Skip to content
mcp/skillhub

Agent Skill

Doca Gpunetio Ib Write Lat skill

doca-gpunetio-ib-write-latNVIDIA/skillsskills/doca-gpunetio-ib-write-lat/SKILL.md

Use this skill when the user is measuring GPU-kernel-initiated RDMA WRITE latency through doca-gpunetio — building and running the `gpunetio_ib_write_lat` client + server pair under `doca/tools/gpunetio_ib_write_lat/`, checking GPU-NIC pairing, reading the half-iter / full-iter / CUDA-side usec columns, characterizing median / p99 / jitter for a real-time control loop, picking GPUNetIO vs GPI vs CPU-initiated `perftest`, or weighing the latency-vs-batching trade-off. Trigger even without 'GPUNetIO' or 'ib_write_lat': 'GPU kernel RDMA latency benchmark', 'how fast can a CUDA kernel post a WRITE', 'p99 RDMA latency on H100 + ConnectX', 'kernel-launched WR tail latency', or 'compare GPU-init vs CPU-init perftest'. Route elsewhere for bandwidth runs (doca-gpunetio-ib-write-bw), the GPI surface (doca-gpi), library debugging (doca-gpunetio), or DOCA install.

3.7kApache-2.0

always on

245 tokname + description

once used

3,566 tokSKILL.md body

bundled files

760 KB

repo stars

3.7kGitHub

Install the Doca Gpunetio Ib Write Lat skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/NVIDIA/skills --skill doca-gpunetio-ib-write-lat

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/NVIDIA/skills.git /tmp/skills
mkdir -p ~/.claude/skills
cp -R /tmp/skills/skills/doca-gpunetio-ib-write-lat ~/.claude/skills/doca-gpunetio-ib-write-lat

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description245 tok
When the agent uses itThe SKILL.md instructions3,566 tok
Only if opened7 bundled files (60 KB)varies

Until it is used, doca-gpunetio-ib-write-lat costs about 5.6× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 150 skills from NVIDIA/skills would load 20,796 tokens of descriptions. Skills vs MCP study

Checks

Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • DOCA GPUNetIO ibwritelat
  • Examples
  • Instructions
  • Example questions this skill answers well
  • Audience
  • Language scope
  • When to load this skill
  • What this skill provides
  • What this skill deliberately does not ship
  • Loading order
  • Related skills

More skills from NVIDIA/skills

All skills in this repo
  1. accelerated-computing-cudfNVIDIA/skills

    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.

    3.7k2356 tok idle · 2,307 in use
  2. ambient-healthcare-agent-with-nemotron-voice-agentNVIDIA/skills

    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.

    3.7k1744 tok idle · 2,849 in use
  3. amc-run-rtsp-calibrationNVIDIA/skills

    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.

    3.7k159 tok idle · 4,607 in use
  4. amc-run-sample-calibrationNVIDIA/skills

    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'.

    3.7k164 tok idle · 3,627 in use
  5. amc-run-video-calibrationNVIDIA/skills

    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`.

    3.7k157 tok idle · 4,576 in use
  6. amc-setup-calibration-stackNVIDIA/skills

    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.

    3.7k67 tok idle · 4,277 in use
  7. boltz2-nimNVIDIA/skills

    Use Boltz2 NIM for biomolecular structure prediction and binding affinity. Invoke for Boltz2, protein structures, protein-ligand/DNA/RNA complexes, SMILES or CCD ligands, pIC50/IC50 affinity scoring, mmCIF output, hosted NVIDIA API calls, or local Docker deployment.

    3.7k71 tok idle · 1,433 in use
  8. cdf-anomalygenNVIDIA/skills

    Use when running the CDF AnomalyGen pipeline over a defect dataset — mask placement, fine-tuning, synthetic defect-image generation (SDG), evaluation, quality refinement, and pseudo-labeling — even when the user names only one stage.

    3.7k54 tok idle · 9,563 in use