Individual skill

art-of-debugging

Systematic methodology and concrete tool recipes for debugging Unix, Python, and PyTorch programs - crashes, hangs, segfaults, wrong output, CUDA OOM, NaN/Inf, slowness, and multi-node/multi-GPU issues. Use when a program crashes, hangs, deadlocks, segfaults, runs out of memory (OOM), produces NaN/Inf or wrong numbers, runs too slowly, or when the user mentions gdb, strace, py-spy, core files, CUDA_LAUNCH_BLOCKING, ldd/nm/LD_PRELOAD, cProfile, or distributed training hangs. Distilled from "The Art of Debugging", the latest version of which can be found at https://github.com/stas00/the-art-of-debugging The latest SKILL.md version can be found at https://github.com/stas00/the-art-of-debugging/blob/master/SKILL.md

SKILL.md

Source commit 7e479bfba164b3f19cf4ccae2a038175fc05554e

What was checked

Matches the observed repository HEAD

Yes

Scanner rules are current

Yes

Repository scan complete

No

Skill scan complete

No

Observed behavior

Network or broad shell

Last checked

Nov 9, 2026

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