feat: complete M3 Web UI Enhancement milestone with include/exclude cards, fuzzy matching, mobile responsive design, and performance optimization

- Include/exclude cards feature complete with 300+ card knowledge base and intelligent fuzzy matching
- Enhanced visual validation with warning icons and performance benchmarks (100% pass rate)
- Mobile responsive design with bottom-floating controls, two-column layout, and horizontal scroll prevention
- Dark theme confirmation modal for fuzzy matches with card preview and alternatives
- Dual architecture support for web UI staging system and CLI direct build paths
- All M3 checklist items completed: fuzzy match modal, enhanced algorithm, summary panel, mobile responsive, Playwright tests

debug_bolt_scoring.py

@@ -0,0 +1,54 @@
+#!/usr/bin/env python3
+"""Debug the normalization and scoring for Lightning Bolt specifically"""
+
+import sys
+import os
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'code'))
+
+from deck_builder.include_exclude_utils import normalize_punctuation, fuzzy_match_card_name
+import pandas as pd
+
+# Test normalize_punctuation function
+print("=== Testing normalize_punctuation ===")
+test_names = ["Lightning Bolt", "lightning bolt", "Lightning-Bolt", "Lightning, Bolt"]
+for name in test_names:
+    normalized = normalize_punctuation(name)
+    print(f"'{name}' → '{normalized}'")
+
+# Load cards and test fuzzy matching
+print(f"\n=== Loading cards ===")
+cards_df = pd.read_csv('csv_files/cards.csv')
+available_cards = set(cards_df['name'].dropna().unique())
+
+print(f"Cards loaded: {len(available_cards)}")
+print(f"Lightning Bolt in cards: {'Lightning Bolt' in available_cards}")
+
+# Test fuzzy matching for 'bolt' 
+print(f"\n=== Testing fuzzy match for 'bolt' ===")
+result = fuzzy_match_card_name('bolt', available_cards)
+print(f"Input: bolt")
+print(f"Matched: {result.matched_name}")
+print(f"Confidence: {result.confidence:.3f}")
+print(f"Auto-accepted: {result.auto_accepted}")
+print(f"Top suggestions: {result.suggestions[:5]}")
+
+# Test fuzzy matching for 'lightn'
+print(f"\n=== Testing fuzzy match for 'lightn' ===")
+result = fuzzy_match_card_name('lightn', available_cards)
+print(f"Input: lightn")
+print(f"Matched: {result.matched_name}")
+print(f"Confidence: {result.confidence:.3f}")
+print(f"Auto-accepted: {result.auto_accepted}")
+print(f"Top suggestions: {result.suggestions[:5]}")
+
+# Manual check of scores for Lightning cards
+print(f"\n=== Manual scoring for Lightning cards ===")
+from difflib import SequenceMatcher
+
+input_test = "lightn"
+lightning_cards = [name for name in available_cards if 'lightning' in name.lower()][:10]
+
+for card in lightning_cards:
+    normalized_card = normalize_punctuation(card)
+    score = SequenceMatcher(None, input_test.lower(), normalized_card.lower()).ratio()
+    print(f"{score:.3f} - {card}")