feat(m1): scaffold tsmm package (T1.1)

- pyproject.toml (src-layout, deps per plan)
- src/tsmm/{data,model,train,eval} skeletons
- tests/test_smoke.py (RED->GREEN: importable + subpackages)
- configs/, scripts/, data/, checkpoints/ + .gitignore
- project venv (.venv) for reproducible env (M1 deps only; CUDA torch @ M2)

Verifications: import tsmm OK; pytest tests/ 3 passed.

README.md

@@ -0,0 +1,33 @@
+# tsmm
+
+**Time-series as a Modality** — an experimental, single-GPU multimodal model that
+treats multivariate time series as an independent modality, jointly injected into a
+small LLM (Qwen2.5-0.5B) for time-series question answering and reasoning
+(ChatTS route).
+
+## Status
+
+M1 (data pipeline) under construction. See
+`docs/superpowers/specs/2026-06-29-ts-as-modality-design.md` for the design and
+`docs/superpowers/plans/2026-06-29-ts-as-modality-plan.md` for the task plan.
+
+## Layout
+
+```
+src/tsmm/   package (data, model, train, eval)
+configs/    training / data configs
+scripts/    offline generation & training entrypoints
+tests/      pytest suite
+data/       generated datasets (gitignored)
+checkpoints/ model checkpoints (gitignored)
+```
+
+## Install (dev)
+
+```bash
+python3 -m venv .venv
+. .venv/bin/activate
+pip install -e .            # full deps (incl. torch/transformers/peft/...)
+# M1-only lightweight install:
+pip install numpy tqdm pyyaml pytest && pip install -e . --no-deps
+```