llm-torch-profiler-analysis

Unified LLM torch-profiler triage skill for `sglang`, `vllm`, `TensorRT-LLM`, and `TokenSpeed`. Use it to inspect an existing `trace.json(.gz)` or profile directory, or to drive live profiling against a running server when supported and return one three-table report with kernel, overlap-opportunity, and fuse-pattern tables.

Install
npx skills add 'https://github.com/sgl-project/sglang/tree/main/.claude/skills/llm-torch-profiler-analysis'
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main · a9fb1c3Scanned 2026-09-17

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"""Backwards-compatibility shim for the unified LLM torch-profiler entrypoint. The real implementation now lives in ``analyze_llm_torch_profile`` because thisskill covers SGLang, vLLM, TensorRT-LLM, and TokenSpeed. Older scripts and runbooks thatstill invoke ``analyze_sglang_torch_profile.py`` keep working by forwarding tothat module.""" from __future__ import annotations import sys from analyze_llm_torch_profile import main if __name__ == "__main__":    raise SystemExit(main(sys.argv[1:])) 
Referenced from SKILL.md