NVIDIA/TensorRT-LLM/ad-model-onboard
> Translates a HuggingFace model into a prefill-only AutoDeploy custom model using reference custom ops, validates with hierarchical equivalence tests.
How to get this skill
Agent Skill by NVIDIA. Download or clone it, then install it in your agent.
Setup & Installation
- Clone the repository:
git clone https://github.com/NVIDIA/skills.git - Copy the skill folder (which contains
SKILL.md) into your agent skills folder, e.g..claude/skills/. - Restart or reload the agent to auto-discover the skill.
- Check
SKILL.mdfor any special instructions or requirements.
Meqyas AI helps individuals and organizations measure AI readiness, then move from diagnosis to a practical adoption roadmap.
Use this skill when you need an AI agent to follow a repeatable workflow for this task.
1. Review the source or repository details.
2. Copy the skill folder that contains `SKILL.md` into your agent skills directory.
3. Restart or reload the agent so it can discover the skill.
4. Test the skill on a small task before using it in production.
Related skills
NVIDIA/TensorRT-LLM/ad-accuracy-debug
> Debug AutoDeploy accuracy regressions vs a reference score (PyTorch backend or published baseline).
NVIDIA/TensorRT-LLM/ad-add-fusion-transformation
> Claude Code skill (trtllm-agent-toolkit): implement or extend TensorRT-LLM AutoDeploy fusion transforms under transform/library/ in a TensorRT-LLM checkout.
NVIDIA/TensorRT-LLM/ad-conf-check
> Check whether AutoDeploy YAML configs were actually applied by analyzing server logs and optionally graph dumps (AD_DUMP_GRAPHS_DIR).
NVIDIA/TensorRT-LLM/ad-graph-dump
> Enable and interpret TensorRT-LLM AutoDeploy FX graph text dumps via AD_DUMP_GRAPHS_DIR.