Individual skill

profiler

Profile an LLM serving workload on ROCm to find where GPU time goes, with TraceLens on PyTorch-profiler traces of the served program. Start from the host's profile when there is one (in component mode, MB's TraceLens profile of the root); take a trace of your own only for what it does not cover, or after a KEEP moved the tree. Use when asked to profile, rank optimization sites, compare two trees' profiles, or write a dossier's profile (part 7) or kernel usage (part 8).

src/hyperloom_arbor/.claude/skills/profiler/SKILL.md

Source commit e90e8483681992cc4a51a73bb1a4751ea0d2d8eb

What was checked

Matches the observed repository HEAD

Yes

Scanner rules are current

No

Repository scan complete

No

Skill scan complete

No

Observed behavior

Not checked yet

Last checked

Nov 7, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

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