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.
Install
npx skills add davila7/claude-code-templates --skill tensorrt-llmnpx skills add davila7/claude-code-templates --skill tensorrt-llm -a claude-code -gnpx skills add davila7/claude-code-templates --skill tensorrt-llm -a codex -ggemini skills install https://github.com/davila7/claude-code-templates.git --path cli-tool/components/skills/ai-research/inference-serving-tensorrt-llmgh skill install davila7/claude-code-templates tensorrt-llmgit clone --depth 1 https://github.com/davila7/claude-code-templates /tmp/davila7__claude-code-templates
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/davila7__claude-code-templates/cli-tool/components/skills/ai-research/inference-serving-tensorrt-llm ~/.claude/skills/tensorrt-llm # Claude Code
cp -R /tmp/davila7__claude-code-templates/cli-tool/components/skills/ai-research/inference-serving-tensorrt-llm ~/.agents/skills/tensorrt-llm # Codex, Cursor, Gemini CLI, Copilot, OpenCode