Add comprehensive knowledge base documentation across multiple domains

opengait/modeling/models/AGENTS.md

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+# MODEL ZOO IMPLEMENTATION KNOWLEDGE BASE
+
+## OVERVIEW
+This directory is the algorithm zoo. Each file usually contributes one `BaseModel` subclass selected by `model_cfg.model`.
+
+## WHERE TO LOOK
+| Task | Location | Notes |
+|------|----------|-------|
+| Baseline pattern | `baseline.py` | minimal template for silhouette models |
+| Scoliosis pipeline | `sconet.py` | label remapping + screening-specific head |
+| Large-model fusion | `BiggerGait_DINOv2.py`, `BigGait.py` | external pretrained dependencies |
+| Diffusion/noise handling | `denoisinggait.py`, `diffgait_utils/` | high-complexity flow/feature fusion |
+| Skeleton variants | `skeletongait++.py`, `gaitgraph1.py`, `gaitgraph2.py` | pose-map/graph assumptions |
+
+## CONVENTIONS
+- Most models follow: preprocess input -> backbone -> temporal pooling -> horizontal pooling -> neck/head -> contract dict.
+- Input modality assumptions differ by model (silhouette / RGB / pose / multimodal); config and preprocess script must match.
+- Many models rely on utilities from `modeling/modules.py`; shared changes there are high blast-radius.
+
+## ANTI-PATTERNS
+- Don’t mix modality assumptions silently (e.g., pose tensor layout vs silhouette layout).
+- Don’t rename classes without updating `model_cfg.model` references in configs.
+- Don’t treat `BigGait_utils`/`diffgait_utils` as generic utilities; they are model-family specific.