Agent skill
product-search-scoring
Advanced product search system with keyword scoring, Vietnamese text normalization, multi-field matching, and search result ranking. USE WHEN implementing search functionality, adding keyword scoring to products, optimizing search algorithm, or improving search relevance.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/product-search-scoring
SKILL.md
When to Activate This Skill
- User says "tìm kiếm sản phẩm", "search products", "implement search"
- Task involves search algorithm or keyword matching
- Need to add scoring/ranking to search results
- Improving search relevance or performance
- Implementing Vietnamese text search with accent handling
- Adding search analytics or trending keywords
Core Architecture
3-Component System
Component 1: Text Normalization
- Remove Vietnamese accents (à, á, ả... → a)
- Convert to lowercase
- Strip special characters
- Normalize whitespace
Component 2: Keyword Processing
- Split search input into individual terms
- Filter stop words (từ, của, với, theo, etc.)
- Remove empty terms
- Maintain search index for fast lookup
Component 3: Query Building & Sorting
- Multi-field search (name, brand, type, tags)
- Multiple filter criteria (category, price, tags)
- Relevance-based sorting
- Pagination support
Cache Strategy
Implement caching to prevent repeated searches:
// Generate cache key from filters
protected function makeCacheKey(array $filters): string
{
return 'product_filter_ids:' . md5(json_encode($filters));
}
// Cache product IDs from filter query
$cacheKey = $this->makeCacheKey($filters);
$cacheTtl = ProductCacheService::SHORT_CACHE_TTL; // e.g., 300 seconds
$allProductIds = Cache::remember($cacheKey, $cacheTtl, function () use ($filters) {
$idQuery = Product::query()->select('products.id');
$this->applyFilters($idQuery, $filters);
$this->applySort($idQuery, $filters['sort']);
return $idQuery->pluck('products.id')->all();
});
Search Index Field
Maintain a denormalized search_index column on products:
// In Product model migration or observer
$searchIndex = StringHelper::normalizeForSearch(
implode(' ', [
$product->name,
$product->brand,
$product->type,
$product->tags->pluck('name')->join(' ')
])
);
$product->update(['search_index' => $searchIndex]);
Keyword Highlighting
Display found keywords highlighted in results:
public static function highlightSearchTerm(string $text, string $searchTerm): string
{
if (empty($searchTerm)) return e($text);
$searchTerms = self::splitSearchTerms($searchTerm);
$highlighted = $text;
foreach ($searchTerms as $term) {
$pattern = '/(' . preg_quote($term, '/') . ')/i';
$highlighted = preg_replace($pattern,
'<mark class="bg-yellow-200">$1</mark>',
$highlighted
);
}
return $highlighted;
}
Common Patterns
Pattern 1: Simple Text Search
User searches "giày nike" → Find products with name containing both terms
Pattern 2: Category Filter + Search
User filters by "Tất, vớ" + searches "cotton" → Show cotton socks/stockings
Pattern 3: Brand Filter + Sort
User selects "Nike" brand + sorts by price ascending → Show Nike products cheapest first
Pattern 4: Multi-filter
User selects type + brand + tags + searches → Combine all filters with AND/OR logic
Key Principles
- Normalize Vietnamese text - Accent removal essential for accurate matching
- Filter stop words - Remove common Vietnamese words to improve relevance
- Use search_index - Denormalize search field for performance
- Cache aggressively - Cache filter results by normalized filter key
- Multi-field search - Search across name, brand, type, tags
- Flexible filtering - Support category, brand, price, tag filters
- Pagination-friendly - Cache IDs, then fetch only needed records
Scoring Improvements (Advanced)
For production, consider these enhancements:
- Exact match boost: Higher score if full search term matches product name
- Field weighting: Name match worth more than tag match
- Freshness: Newer products ranked higher when relevance is equal
- Popularity: Track search term frequency for trending keywords
- User behavior: Click-through rate and sales indicate relevance
Critical Requirements
- ⚠️ Always normalize Vietnamese text (accents cause 90% of missed matches)
- ⚠️ Update search_index when product name/brand/type changes
- ⚠️ Cache search queries (major performance bottleneck)
- ✅ Support multiple filter combinations
- ✅ Handle pagination efficiently
Related Skills
- image-management: Use for product images in search results
- filament-rules: For admin panel to manage products
- database-backup: Before migrating to add search_index column
Supplementary Resources
For comprehensive implementation guide: read .claude/skills/workflows/product-search-scoring/CLAUDE.md
References
Implementation Steps: read .claude/skills/workflows/product-search-scoring/references/implementation-steps.md
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