database-optimizer
Use when user needs database query optimization, performance tuning, index strategies, execution plan analysis, or scalability across PostgreSQL, MySQL, MongoDB, Redis, and other database systems.
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Use when user needs database query optimization, performance tuning, index strategies, execution plan analysis, or scalability across PostgreSQL, MySQL, MongoDB, Redis, and other database systems.
Use when configuring or working with Solid Cache for database-backed caching. Applies Rails 8 conventions, cache key design, expiration strategies, database setup, and performance tuning patterns.
Implement custom caching with CacheMgr in B2C Commerce. Use when adding application-level caching, cache invalidation, or optimizing performance with custom cache regions. Covers cache definition JSON, CacheMgr...
Database specialist covering PostgreSQL, MongoDB, Redis, and advanced data patterns for modern applications
Firebase Firestore specialist covering NoSQL patterns, real-time sync, offline caching, and Security Rules. Use when building mobile-first apps with offline support, implementing real-time listeners, or configu...
Implement or debug Redis caching strategies using the centralized Upstash Redis client. Use when adding cache layers, debugging cache issues, or optimizing cache invalidation.
Ensure 'use cache' is used strategically to minimize CPU usage and ISR writes. Use when creating/modifying queries to verify caching decisions align with data update patterns and cost optimization.
LiteLLM-RS Caching Architecture. Covers Redis caching, vector database semantic caching, multi-tier cache strategy, TTL management, and cache invalidation patterns.
Database operations for SQLite, PostgreSQL, and MySQL. Use for queries, schema inspection, migrations, and AI-assisted query generation.
Export Pixel Detective UMAP projections with HDBSCAN and manage Qdrant collections via the ingestion API. Use when the user asks for latent space exports, UMAP clustering assets, or collection operations (list/...
Debug HybridCache and Redis caching issues when data isn't being cached or invalidated correctly. Use this when cache hit/miss rates are wrong.
Data persistence for CFN Loop - SQLite storage, Redis coordination, automatic memory persistence
Full-text search and search engine implementation. Use when implementing search functionality, autocomplete, faceted search, relevance tuning, or working with search indexes. Keywords: search, full-text search,...
Designs database schemas, data models, relationships, indexes, and migrations for relational, NoSQL, time-series, and warehouse databases. Covers normalization, denormalization, ETL optimization, event sourcing...
Comprehensive caching strategies and patterns for performance optimization. Use when implementing cache layers, cache invalidation, TTL policies, or distributed caching. Covers Redis/Memcached patterns, CDN cac...
系统字典和业务字典配置。建表需要枚举字段或给表添加枚举类字段时使用
Vector search indexing and querying workflows using MCP Vector Search, including setup, reindexing, auto-index strategies, and MCP integration.
Design and optimize database schemas for SQL and NoSQL databases. Use when creating new databases, designing tables, defining relationships, indexing strategies, or database migrations. Handles PostgreSQL, MySQ...
Implements fast O(1) lookup patterns using HashSet, FrozenSet, and optimized Dictionary in .NET. Use when building high-performance search or membership testing operations.
Upstash Vector DB setup, semantic search, namespaces, and embedding models (MixBread preferred). Use when building vector search features on Vercel.
Query Chinese stock data from local DuckDB cache. Use when user wants local data access instead of direct Tushare API calls.
Master SurrealDB 2.3.x with Python for multi-model database operations including CRUD, graph relationships, vector search, and real-time queries. Use when working with SurrealDB databases, implementing graph tr...
Implements Redis patterns for caching, sessions, rate limiting, pub/sub, and distributed locks with best practices. Use when users request "Redis caching", "session storage", "rate limiter", "pub/sub messaging"...
Sets up vector databases for semantic search including Pinecone, Chroma, pgvector, and Qdrant with embedding generation and similarity search. Use when users request "vector database", "semantic search", "embed...
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