tensorrt-llm

Name: tensorrt-llm
Rating: 1.0 (1 reviews)
Author: zechenzhangAGI

20.5

Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.

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Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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Claude Code (CLI) Fast

skilz install zechenzhangAGI/AI-research-SKILLs/tensorrt-llm

OpenCode (CLI) Fast

skilz install zechenzhangAGI/AI-research-SKILLs/tensorrt-llm --agent opencode

OpenAI Codex (CLI) Native

skilz install zechenzhangAGI/AI-research-SKILLs/tensorrt-llm --agent codex

Gemini CLI (Project) Project

skilz install zechenzhangAGI/AI-research-SKILLs/tensorrt-llm --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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For Claude Desktop Easy

Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

Manual Installation

1. Clone the repository:

git clone https://github.com/zechenzhangAGI/AI-research-SKILLs

2. Copy the agent skill directory:

cp -r AI-research-SKILLs/12-inference-serving/tensorrt-llm ~/.claude/skills/

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Need detailed installation help? Check our platform-specific guides:

Claude Desktop Guide Claude Code Guide Troubleshooting

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Agentic Skill Details

Owner: zechenzhangAGI (GitHub)
Repository: AI-research-SKILLs
Type: Non-Technical
Meta-Domain: general
Primary Domain: general
Sub-Domain: deployment path
Market Score: 20.5

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