fcakyon-debug

SKILLWorkflowcommunauté
v0.0.0fcakyonMITMis à jour il y a 1 moisSource →

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,

Community-submitted skill. Not yet reviewed by the Forge team. Full prompt content may not be available.Request review →
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il y a 1 moisDernière mise à jour
Skill
Auteurfcakyon
Version0.0.0
LicenceMIT
CatégorieWorkflow
Formatsskill.md
PromptNon publié
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Claude✓ Pris en charge
Cursor
Copilot
ChatGPT
Gemini
À propos

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,

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