SaltGardenia

research-code-skill

Coding-standard enforcer for AI agents working inside a research (ML/DL) lab project. Its core job is twofold: (1) keep the project's fixed architecture intact across all coding work 鈥?never break or drift from the established structure; (2) enforce code-level conventions 鈥?naming, formatting, calling, and configuration 鈥?so every file is uniform. It codifies five authoritative systems as machine-executable Rule Cards (RC-*). It fuses thirteen authoritative references into four usage clusters so the agent never stacks them as separate checklists, plus a Karpathy-inspired behavioral discipline (Think Before Coding, Simplicity First, Surgical Changes, Goal-Driven Execution) layered above the mechanical cards: (1) Project Scaffold & Python Grammar (Lightning-Hydra-Template structure + Hydra configs + Google Python Style); (2) Model & Component Design (PyTorch Lightning Style Guide + timm named architectures + OpenMMLab Registry pattern); (3) Experiment Reproducibility (Hydra Config-First + FAIR data + SemVer/Git