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trtllm-code-contribution

Official

Contribute TensorRT-LLM code with confidence.

Software Engineering#code-review#contribute#pull-request#development-workflow#coding-guidelines#tensorrt-llm#dco-signing
AuthorNVIDIA
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Streamlines and codifies the official contribution process for TensorRT-LLM, ensuring consistent workflows, coding standards, and PR readiness.

Core Features & Use Cases

  • Guidance on the contribution workflow, including issue tracking, fork workflow, and DCO signing.
  • Coding guidelines and implementation workflow referencing CONTRIBUTING.md and CODING_GUIDELINES.md.
  • Best practices for testing strategy, commit hygiene, and code-review readiness with real PR retrospectives.
  • Use when implementing new features, optimizations, or bug fixes in the TensorRT-LLM codebase.

Quick Start

Review the official TensorRT-LLM contribution guidelines and prepare your changes for a PR.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: trtllm-code-contribution
Download link: https://github.com/NVIDIA/skills/archive/main.zip#trtllm-code-contribution

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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