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initial: ML debugging folklore skill

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Deep research to uplift LLMs for ML debugging, opinionated by source
selection. Distilled from Schulman, Jones, Rahtz, Goodfellow, CS231n,
FSDL, and more. Includes runnable diagnostic scripts and LLM-specific
anti-patterns.

Author: wassname (https://github.com/wassname)
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wassname
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# Personal notes
docs/wassname.md
# Internal dev specs (implementation notes, not useful publicly)
docs/spec/
# Book chapters (copyright, not redistributable)
docs/evidence/goodfellow_ch11_practical_methodology.md
docs/evidence/goodfellow_ch15_representation_learning.md
docs/evidence/deeplearning_book.md