diff --git a/plugins/skill_scanner/plugin.py b/plugins/skill_scanner/plugin.py
index 7ef8909..d3affb2 100644
--- a/plugins/skill_scanner/plugin.py
+++ b/plugins/skill_scanner/plugin.py
@@ -75,44 +75,40 @@ class SkillOCRThread(QThread):
         text = text.replace('SKILLS', '').replace('ALL CATEGORIES', '')
         text = text.replace('SKILL NAME', '').replace('RANK', '').replace('POINTS', '')
         
-        lines = text.split('\n')
+        # Remove category names that appear as standalone words
+        for category in ['Attributes', 'COMBAT', 'Combat', 'Design', 'Construction', 
+                        'Defense', 'General', 'Handgun', 'Heavy Melee Weapons',
+                        'Heavy Weapons', 'Information', 'Inflict Melee Damage',
+                        'Inflict Ranged Damage', 'Light Melee Weapons', 'Longblades', 
+                        'Medical', 'Mining', 'Science', 'Social', 'Beauty', 'Mindforce']:
+            text = text.replace(category, ' ')
         
-        for line in lines:
-            line = line.strip()
-            if not line:
-                continue
-            
-            # Skip category headers and short lines
-            if len(line) < 10:
-                continue
-            
-            # Try pattern: SkillName Rank Points
-            # More flexible pattern to handle merged text
-            # Skill name can be 2-50 chars, rank from our list, points 1-6 digits
-            match = re.search(
-                rf'([A-Za-z][A-Za-z\s]{{2,50}}?)\s+({rank_pattern})\s+(\d{{1,6}})(?:\s|$)',
-                line, re.IGNORECASE
-            )
-            
-            if match:
-                skill_name = match.group(1).strip()
-                rank = match.group(2)
-                points = int(match.group(3))
-                
-                # Clean up skill name - remove common words that might be prepended
-                skill_name = re.sub(r'^(Skill|SKILL)\s*', '', skill_name, flags=re.IGNORECASE)
-                skill_name = skill_name.strip()
-                
-                # Validate - points should be reasonable (not too small)
-                if points > 0 and skill_name:
-                    skills[skill_name] = {
-                        'rank': rank,
-                        'points': points,
-                        'scanned_at': datetime.now().isoformat()
-                    }
-                    print(f"[SkillScanner] Parsed: {skill_name} = {rank} ({points})")
+        # Remove extra whitespace
+        text = ' '.join(text.split())
         
-        # Alternative parsing: try to find skill-rank-points triplets
+        # Find all skills in the text using finditer
+        for match in re.finditer(
+            rf'([A-Za-z][A-Za-z\s]{{2,50}}?)\s+({rank_pattern})\s+(\d{{1,6}})(?:\s|$)',
+            text, re.IGNORECASE
+        ):
+            skill_name = match.group(1).strip()
+            rank = match.group(2)
+            points = int(match.group(3))
+            
+            # Clean up skill name - remove common words that might be prepended
+            skill_name = re.sub(r'^(Skill|SKILL)\s*', '', skill_name, flags=re.IGNORECASE)
+            skill_name = skill_name.strip()
+            
+            # Validate - points should be reasonable (not too small)
+            if points > 0 and skill_name and len(skill_name) > 2:
+                skills[skill_name] = {
+                    'rank': rank,
+                    'points': points,
+                    'scanned_at': datetime.now().isoformat()
+                }
+                print(f"[SkillScanner] Parsed: {skill_name} = {rank} ({points})")
+        
+        # If no skills found with primary method, try alternative
         if not skills:
             skills = self._parse_skills_alternative(text, ALL_RANKS)