trtllm-codebase-exploration
OfficialNavigate TRT-LLM codebases efficiently.
Software Engineering#workflow#debugging#codebase#exploration#code-trace#tensorrt-llm#forward-methods
AuthorNVIDIA
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Systematic approach to exploring the TensorRT-LLM codebase before implementing new features or optimizations. Teaches how to discover existing infrastructure, trace code paths, and avoid reimplementing what already exists. Derived from real mistakes where ~250 lines of code were written and deleted because existing forward methods weren't discovered upfront.
Core Features & Use Cases
- Systematic codebase mapping to locate relevant modules and utilities.
- Guided tracing of code paths to find reusable components and minimize rework.
- Real-world lessons distilled from past iterative mistakes to avoid rework.
Quick Start
Begin by mapping the TRT-LLM codebase to identify existing infrastructure before implementing a new feature.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: trtllm-codebase-exploration Download link: https://github.com/NVIDIA/skills/archive/main.zip#trtllm-codebase-exploration Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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