Diagnoses LLM output failures including hallucinations, constraint violations, format errors, and reasoning issues. Provides root cause classification, prompt fixes, tool improvements, and new test ca
templates/ai-engineering/llm-debugger
Use when you have lint errors, formatting issues, or before committing code to ensure it passes CI.
This skill should be used when the user asks to "update documentation for my changes", "check docs for this PR", "what d...
Write docstrings for PyTorch functions and methods following PyTorch conventions. Use when writing or updating docstring...