llm-pipeline-analysis

Installation
SKILL.md

LLM Pipeline Analysis

Overview

Use this when a whole-trace profiler summary is too coarse. The scripts read a Chrome-trace JSON file, find layer-boundary anchor kernels, group kernels into forward passes and layers, and print timing tables you can use for Perfetto navigation or detailed timing analysis.

When To Use It

  • when you need to know which layers contribute most
  • when the model has alternating layer types (e.g. models with compress_ratios like DeepSeek-V4 NSA, or hybrid GDN/GQA stacks such as Qwen3.8-27B)
  • when you need to compare cold-start vs steady-state forward passes
  • when you need to navigate to a specific layer in Perfetto UI
  • when you need to select representative layers for deep-dive analysis
Installs
52
GitHub Stars
809
First Seen
May 21, 2026
llm-pipeline-analysis — bbuf/ai-infra-auto-driven-skills