docs(planning): clean up next milestone document and remove completion markers

- Remove excessive completion checkmarks and status markers throughout document
- Consolidate redundant sections on completed features
- Streamline executive summary and current status sections
- Focus content on upcoming quick wins and active tasks
- Remove duplicate phase completion listings
- Clean up success metrics and KPI sections
- Maintain essential planning information while reducing noise

workspace/planning-analysis/generate_report.py

@@ -0,0 +1,58 @@
+#!/usr/bin/env python3
+"""
+Report Generator
+Generates comprehensive cleanup reports
+"""
+
+import json
+from datetime import datetime
+
+def generate_cleanup_report():
+    """Generate comprehensive cleanup report"""
+    
+    # Load all data files
+    with open('analysis_results.json', 'r') as f:
+        analysis_results = json.load(f)
+    
+    with open('documentation_status.json', 'r') as f:
+        documentation_status = json.load(f)
+    
+    with open('cleanup_candidates.json', 'r') as f:
+        cleanup_candidates = json.load(f)
+    
+    with open('cleanup_results.json', 'r') as f:
+        cleanup_results = json.load(f)
+    
+    # Generate report
+    report = {
+        'timestamp': datetime.now().isoformat(),
+        'summary': {
+            'total_planning_files': len(analysis_results),
+            'total_completed_tasks': sum(r.get('completed_task_count', 0) for r in analysis_results),
+            'total_documented_tasks': sum(r.get('documented_count', 0) for r in documentation_status),
+            'total_undocumented_tasks': sum(r.get('undocumented_count', 0) for r in documentation_status),
+            'total_cleanup_candidates': cleanup_candidates['summary']['total_cleanup_candidates'],
+            'total_lines_removed': sum(r.get('lines_removed', 0) for r in cleanup_results)
+        },
+        'analysis_results': analysis_results,
+        'documentation_status': documentation_status,
+        'cleanup_candidates': cleanup_candidates,
+        'cleanup_results': cleanup_results
+    }
+    
+    # Save report
+    with open('cleanup_report.json', 'w') as f:
+        json.dump(report, f, indent=2)
+    
+    # Print summary
+    summary = report['summary']
+    print(f"Cleanup Report Generated:")
+    print(f"  Planning files analyzed: {summary['total_planning_files']}")
+    print(f"  Completed tasks found: {summary['total_completed_tasks']}")
+    print(f"  Documented tasks: {summary['total_documented_tasks']}")
+    print(f"  Undocumented tasks: {summary['total_undocumented_tasks']}")
+    print(f"  Cleanup candidates: {summary['total_cleanup_candidates']}")
+    print(f"  Lines removed: {summary['total_lines_removed']}")
+
+if __name__ == "__main__":
+    generate_cleanup_report()