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Author SHA1 Message Date
wassname 2db012dd2c docs(pinn): add Wang 2021 and Rathore 2024 evidence files 2026-03-06 12:12:51 +08:00
wassname a90624b36d feat(pinn): add pinn/ sub-skill with SKILL.md and evidence 
SKILL.md: 478-line PINN training best practices (complexity ladder,
nondim, architecture, optimization, loss design, sampling, property
mappings, ConFIG, domain decomposition).

docs/evidence/: 6 files -- krishnapriyan2021, sukumar2022, wang2022
causal, wang2022+2023 expert guides, Brunton youtube transcripts.

Missing evidence (to fetch): Wang 2001.04536 (gradient pathologies),
Rathore 2402.01868 (ICML loss landscape).

Author: wassname (https://github.com/wassname)
 2026-03-06 11:48:41 +08:00
wassname 51c9a2df44 docs: add README with author credit and usage 2026-03-06 10:16:24 +08:00
wassname 95fee7b5cb chore: include Goodfellow chapters (author encourages sharing) 2026-03-06 10:16:00 +08:00
wassname 4393cceefd initial: ML debugging folklore skill 
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)
 2026-03-06 10:11:30 +08:00