14 skills found
Use when investigating or improving WordPress performance (backend-only agent): profiling and measurement (WP-CLI profile/doctor, Server-Timing, Query Monitor via REST headers), database/query optimization, autoloaded options, object caching, cron, HTTP API calls, and safe verification.
Optimizes SQL queries, designs database schemas, and troubleshoots performance issues. Use when a user asks why their query is slow, needs help writing complex joins or aggregations, mentions database performance issues, or wants to design or migrate a schema. Invoke for complex queries, window functions, CTEs, indexing strategies, query plan analysis, covering index creation, recursive queries, EXPLAIN/ANALYZE interpretation, before/after query benchmarking, or migrating queries between databas
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
PostgreSQL-specific development assistant focusing on unique PostgreSQL features, advanced data types, and PostgreSQL-exclusive capabilities. Covers JSONB operations, array types, custom types, range/geometric types, full-text search, window functions, and PostgreSQL extensions ecosystem.
Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.
Use when analyzing and improving performance for database queries, API endpoints, or frontend rendering.
CPU/memory profiling, database query optimization, and performance analysis
SQLクエリ最適化、インデックス戦略、EXPLAIN分析をマスターし、データベースパフォーマンスを劇的に向上させ、遅いクエリを排除。遅いクエリのデバッグ、データベーススキーマの設計、アプリケーションパフォーマンスの最適化時に使用。
API design, database patterns, REST/GraphQL, microservices architecture, and backend best practices
Database expert for query optimization, indexing, schema design, and performance tuning
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
