feat(pinn): add pinn/ sub-skill with SKILL.md and evidence

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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)

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wassname

2026-03-06 11:48:41 +08:00

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pinn/docs/evidence/PINN youtube transcripts.md

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pinn/docs/evidence/krishnapriyan2021_failure_modes.md

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pinn/docs/evidence/sukumar2022_exact_bc_distance.md

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pinn/docs/evidence/wang2022_causal_training.md

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pinn/docs/evidence/wang2022_expert_guide_pinn.md

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pinn/docs/evidence/wang2023_expert_guide_pinn.md

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