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Evidence-before-action diagnosis of failing ML experiments. Probes the system before guessing causes, process list, dmesg, GPU stats, log scrollback, checkpoint state, then states a hypothesis as a hypothesis and runs a smoke before claiming a root cause. Use when the user asks why a run is failing, diverging, OOMing, hanging, slow, producing weird metrics, has crashed, or asks to debug, diagnose, troubleshoot, or investigate a training issue.

Install

npx skills add fcakyon/phd-skills --skill debug -a claude-code

Installs to .claude/skills/debug/ · Each command fetches the skill straight from GitHub with the open skills CLI.

Download .zip

Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.

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Why 86

Security100
Provenance72
Maintenance100
Licence100
Adoption44

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