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_conversion_reports.py

@@ -0,0 +1,80 @@
+#!/usr/bin/env python3
+"""
+Conversion Report Generator
+Generates comprehensive reports for the documentation conversion
+"""
+
+import json
+from datetime import datetime
+
+def generate_conversion_report():
+    """Generate comprehensive conversion report"""
+    
+    # Load all data files
+    try:
+        with open('completed_files_scan.json', 'r') as f:
+            scan_results = json.load(f)
+    except:
+        scan_results = {'total_files_scanned': 0}
+    
+    try:
+        with open('content_analysis_results.json', 'r') as f:
+            analysis_results = json.load(f)
+    except:
+        analysis_results = {'total_files_analyzed': 0, 'action_summary': {}}
+    
+    try:
+        with open('documentation_conversion_final.json', 'r') as f:
+            conversion_results = json.load(f)
+    except:
+        conversion_results = []
+    
+    # Generate report
+    report = {
+        'timestamp': datetime.now().isoformat(),
+        'operation': 'documentation_conversion_from_completed_files',
+        'status': 'completed',
+        'summary': {
+            'total_files_scanned': scan_results.get('total_files_scanned', 0),
+            'total_files_analyzed': analysis_results.get('total_files_analyzed', 0),
+            'total_files_converted': len(conversion_results),
+            'conversion_actions': analysis_results.get('action_summary', {}),
+            'target_categories': {}
+        }
+    }
+    
+    # Count target categories
+    for result in conversion_results:
+        category = result['target_category']
+        if category not in report['summary']['target_categories']:
+            report['summary']['target_categories'][category] = 0
+        report['summary']['target_categories'][category] += 1
+    
+    # Include detailed data
+    report['scan_results'] = scan_results
+    report['analysis_results'] = analysis_results
+    report['conversion_results'] = conversion_results
+    
+    # Save report
+    with open('documentation_conversion_final_report.json', 'w') as f:
+        json.dump(report, f, indent=2)
+    
+    # Print summary
+    summary = report['summary']
+    print(f"Documentation Conversion - Final Report:")
+    print(f"  Operation: {report['operation']}")
+    print(f"  Status: {report['status']}")
+    print(f"  Files scanned: {summary['total_files_scanned']}")
+    print(f"  Files analyzed: {summary['total_files_analyzed']}")
+    print(f"  Files converted: {summary['total_files_converted']}")
+    print("")
+    print("Conversion actions:")
+    for action, count in summary['conversion_actions'].items():
+        print(f"  {action}: {count}")
+    print("")
+    print("Target categories:")
+    for category, count in summary['target_categories'].items():
+        print(f"  {category}: {count} files")
+
+if __name__ == "__main__":
+    generate_conversion_report()