wassname ab827116b5 remove AI flourishes and rhetorical "X, not Y" framing
- drop "detective at a scene, not a fortune teller", "guess wearing a
  fix's clothes", "that reflex is the enemy"
- rephrase negative parallelisms in intro/calibrate/loop to positive
  (judgment not a checklist; mindset not ticking boxes; evidence not
  prior; isn't a recipe; it's a; menu not a procedure; code not abstract)
- keep genuine instructional contrasts (relative error not absolute, etc.)
- trim pseudocode comments to intent-only

Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
2026-06-02 12:56:35 +08:00
2026-04-09 05:09:25 +08:00
2026-04-09 05:09:25 +08:00

ML Debugging Folklore

Practitioner knowledge for debugging ML systems, curated and synthesized by wassname. Opinionated by source selection -- I picked sources I trust (Schulman, Goodfellow, CS231n, ...) and had an LLM extract the most relevant information for debugging ML systems.

Use as a Claude skill

/skills add https://github.com/wassname/ml_debug

Or paste SKILL.md into your system prompt / context when debugging.

What's here

  • SKILL.md -- the main artifact. Load into an LLM agent's context as a debugging skill. Parts 1-5 are reference knowledge; Part 6 is a runnable triage protocol (grep patterns, diagnostic snippets, decision tree); Part 7 is debugging mental models and practitioner priors.

  • docs/evidence/ -- frozen local copies of source material (blog posts, talks, papers, reddit threads). Claims in SKILL.md link back to exact quotes here.

S
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