Agent Skill
Doca Bench Extension skill
doca-bench-extensionNVIDIA/skillsskills/doca-bench-extension/SKILL.md
Use this skill when the operator is authoring, building, loading, or debugging a custom doca-bench plug-in — a versioned shared library with DOCA_EXPERIMENTAL-marked C entry points that doca-bench loads to measure a workload class its built-in modes do not cover, with doca_bench_cuda as the shipped reference exemplar. Trigger even when the user does not say "doca-bench-extension" or "doca_bench_cuda" — typical implicit phrasings include "no built-in doca-bench mode fits my workload", "how do I benchmark a CUDA GPUNetIO RX/TX kernel", "doca-bench cannot find or load my custom .so", "extension exported symbols do not match what the parent expects", "soversion mismatch after a DOCA upgrade", or "my GPU kernel hangs because stop_flag was never set". Refuse and route elsewhere for questions about which built-in doca-bench mode to pick, DOCA GPUNetIO programming semantics, CUDA toolkit installation, or contributor work on in-tree extensions — those belong to other skills.
always on
234 tokname + description
once used
3,770 tokSKILL.md body
bundled files
770 KB
repo stars
3.7kGitHub
Install the Doca Bench Extension skill
Skills CLI (Claude Code, Codex, Cursor and others)
npx skills add https://github.com/NVIDIA/skills --skill doca-bench-extension
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-bench-extension ~/.claude/skills/doca-bench-extension
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.
| When | What loads | Cost |
|---|---|---|
| Every session | Name and description | 234 tok |
| When the agent uses it | The SKILL.md instructions | 3,770 tok |
| Only if opened | 7 bundled files (70 KB) | varies |
Until it is used, doca-bench-extension costs about 5.8× 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 Bench Extension
- 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
- 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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