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.

src/tsmm/__init__.py

@@ -0,0 +1,7 @@
+"""tsmm — Time-series as a Modality (multimodal).
+
+Experimental, single-GPU implementation following the ChatTS "TS as a new
+modality" route. See `docs/superpowers/specs/2026-06-29-ts-as-modality-design.md`.
+"""
+
+__version__ = "0.0.1"

src/tsmm/data/__init__.py

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+"""Data pipeline: attribute vocab, synthesis, instructions, collator, real benchmarks."""

src/tsmm/eval/__init__.py

@@ -0,0 +1 @@
+"""Evaluation: answer parsing, TS anomaly metrics, QA judging, baselines."""

src/tsmm/model/__init__.py

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+"""Model components: TS encoder, projector, multimodal splice, training/inference wrapper."""

src/tsmm/train/__init__.py

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+"""Training: stage-1 alignment, stage-2 SFT, losses."""