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Trt Onnx Quickstart

Category: General  ·  Sub-category: general-misc  ·  Last updated:
Build and verify a TensorRT engine from a Hugging Face model ID or ONNX file, with numerical parity checked against ONNX Runtime. Use when the user imports a non-LLM model to TensorRT, needs a verified engine from ONNX, hits trtexec "unsupported operator", must verify the engine matches ONNX numerically, debugs a polygraphy parity failure (large max abs diff at FP16), or configures multi-input dynamic shapes. Triggers: convert ONNX to TensorRT, Hugging Face to TensorRT, trtexec onnx, trtexec unsupported operator, optimum-cli export, polygraphy parity check, polygraphy run --trt --onnxrt, parity check failed, max abs diff, verify engine matches ONNX, --minShapes, dynamic shapes trtexec, multi-input shape profile, FP16 engine, INT64 warning. Adjacent skills: `trt-torch-quickstart` (PyTorch frontend), `trt-cpp-runtime-quickstart` (C++ engine load). LLM token generation belongs in TensorRT-LLM, not here.
Security AStatic scan found no risk patternsHow grading works ›

From the source SKILL.md

Take a developer from "I have a Hugging Face model ID" or "an ONNX file" to "a TensorRT engine whose outputs match the source model within tolerance." Follows Path 1 (ONNX → TensorRT) of the [Import Workflows Guide](https://github.com/NVIDIA/TensorRT/blob/main/documents/import_workflows.md), specialized for the most common starting point: a Hugging Face Hub model.

What this skill does

Trt Onnx Quickstart is a community-contributed Claude Code skill in the general-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/trt-onnx-quickstart/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when the user imports a non-LLM model to TensorRT, needs a verified engine from ONNX, hits trtexec "unsupported operator", must verify the engine matches ONNX numerically, debugs a polygraphy parity failure (large max abs diff at FP16), or configures multi-input dynamic shapes. Triggers: convert ONNX to TensorRT, Hugging Face to TensorRT, trtexec onnx, trtexec unsupported operator, optimum-cli export, polygraphy parity check, polygraphy run --trt --onnxrt, parity check failed, max abs diff, verify engine matches ONNX, --minShapes, dynamic shapes trtexec, multi-input shape profile, FP16 engine, INT64 warning.

Who uses this skill

The Trt Onnx Quickstart Claude Code skill is built for Claude Code users and developers across all disciplines looking for general-purpose AI assistance. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 174,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/trt-onnx-quickstart
curl -L https://claudskills.com/skills/trt-onnx-quickstart/SKILL.md \
  -o ~/.claude/skills/trt-onnx-quickstart/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/trt-onnx-quickstart/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/trt-onnx-quickstart/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\trt-onnx-quickstart\SKILL.md on Windows. See the full install guide for step-by-step instructions.

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📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

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Frequently asked questions

How do I install the Trt Onnx Quickstart Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/trt-onnx-quickstart/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Trt Onnx Quickstart skill do?
Build and verify a TensorRT engine from a Hugging Face model ID or ONNX file, with numerical parity checked against ONNX Runtime. Use when the user imports a non-LLM model to TensorRT, needs a verified engine from ONNX, hits trtexec "unsupported operator", must verify the engine matches ONNX numerically, debugs a polygraphy parity failure (large max abs diff at FP16), or configures multi-input dynamic shapes. Triggers: convert ONNX to TensorRT, Hugging Face to TensorRT, trtexec onnx, trtexec unsupported operator, optimum-cli export, polygraphy parity check, polygraphy run --trt --onnxrt, parity check failed, max abs diff, verify engine matches ONNX, --minShapes, dynamic shapes trtexec, multi-input shape profile, FP16 engine, INT64 warning. Adjacent skills: `trt-torch-quickstart` (PyTorch frontend), `trt-cpp-runtime-quickstart` (C++ engine load). LLM token generation belongs in TensorRT-LLM, not here.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Trt Onnx Quickstart skill?
Use Trt Onnx Quickstart when your Claude Code task falls under the General category — specifically in the general misc area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Trt Onnx Quickstart" or describe the task and let Claude pick). Browse related skills at /category/general/.
What is a Claude Code skill and how does the Trt Onnx Quickstart skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Trt Onnx Quickstart is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the General category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
NVIDIA. (2026). Trt Onnx Quickstart [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/trt-onnx-quickstart/
BibTeX
@misc{trt-onnx-quickstart-2026,
  author    = {NVIDIA},
  title     = {Trt Onnx Quickstart [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/trt-onnx-quickstart/}
}

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Security scan

Grade A · scanned 2026-08-02 — free static scan against the OWASP Agentic Skills Top 10.

The scan flagged 1 of 10 categories (supply-chain), including lower-severity patterns. Patterns shown inside code fences are weighted as examples rather than instructions — read the grading methodology for what this does and does not guarantee.

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