ML Training Debugger

Version: 1.0.0 Type: Agent-based skill with SDK implementation Domain: Machine learning training diagnostics

Description

Diagnose machine learning training failures including loss divergence, mode collapse, gradient issues, architecture problems, and optimization failures. This skill spawns a specialist ML debugging agent that systematically analyzes training artifacts to identify root causes and propose evidence-based fixes.

Use this skill when encountering training failures, when loss curves exhibit pathological behavior, when models produce degenerate outputs, when experiencing GPU memory issues, or when hyperparameter tuning produces inconsistent results.

Triggers