chore: complete v1.0 Data Pipeline milestone

- Added MILESTONES.md entry with key accomplishments
- Evolved PROJECT.md with validated requirements
- Reorganized ROADMAP.md with milestone grouping
- Created milestone archive: milestones/v1.0-ROADMAP.md
- Updated STATE.md for next milestone planning
- Tagged v1.0

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

.planning/MILESTONES.md

@@ -0,0 +1,29 @@
+# Project Milestones: SportsTime
+
+## v1.0 Data Pipeline (Shipped: 2026-01-10)
+
+**Delivered:** Complete Python data pipeline with sport-organized modules, full stadium database, alias systems, and CloudKit CRUD operations for the SportsTime iOS app.
+
+**Phases completed:** 1-7 (+ 2.1 inserted) — 15 plans total
+
+**Key accomplishments:**
+
+- Reorganized monolithic scripts into 7 sport modules (mlb.py, nba.py, nhl.py, nfl.py, mls.py, wnba.py, nwsl.py)
+- Built complete stadium database with 148 venues across all 7 sports with verified coordinates
+- Implemented team and stadium alias systems for cross-source name variations
+- Added full CloudKit CRUD with diff reporting, smart sync, and orphan detection
+- Created comprehensive validation with health scores and completeness metrics
+- Reduced scrape_schedules.py orchestrator from 3359 to 733 lines (78% reduction)
+
+**Stats:**
+
+- 15 plans executed across 8 phases
+- ~12,000 lines of Python
+- 92 minutes total execution time (6.1 min average per plan)
+- 2 days from start to ship (2026-01-09 → 2026-01-10)
+
+**Git range:** `feat(01-01)` → `docs(07-01)`
+
+**What's next:** iOS app improvements — IAP, UI/UX, testing
+
+---