database management向けのClaudeスキルを発見してください。25個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Implements robust, database-persisted conversation tracking for stateless AI agents using PostgreSQL.
Architects, optimizes, and manages relational and NoSQL databases to ensure high performance, data integrity, and scalability.
Optimizes PostgreSQL performance, schema design, and security using Supabase-vetted standards and implementation patterns.
Optimizes PostgreSQL performance and schema design using Supabase-maintained best practices and prioritized optimization rules.
Optimizes ClickHouse database performance with advanced table design, query patterns, and real-time analytical workflows.
Provides optimized ClickHouse database schemas, high-performance query patterns, and data engineering best practices for OLAP workloads.
Enforces strict database schema conventions for Drizzle ORM and PostgreSQL to ensure consistent table structures, constraints, and indexing patterns.
Builds type-safe, functional Supabase queries using chainable APIs and entity-based CRUD patterns for robust database interactions.
Provides optimized JPA and Hibernate patterns for building high-performance, scalable Spring Boot data layers.
Implements high-performance JPA and Hibernate data modeling patterns for Spring Boot applications.
Designs efficient, scalable, and maintainable data structures and schemas using industry-best practices for SQL and NoSQL databases.
Optimizes PostgreSQL schema design, indexing strategies, and query performance using industry-standard best practices.
Optimizes PostgreSQL database schemas, queries, and security configurations using industry-proven patterns and Supabase best practices.
Optimizes PostgreSQL database performance and security through standardized schema design, indexing strategies, and performance tuning patterns.
Optimizes ClickHouse database performance through expert schema design, primary key ordering, and query tuning.
Manages persistent state and debate history within localStorage while ensuring data integrity and backward compatibility.
Optimizes PostgreSQL database performance and schema design using Supabase-vetted best practices and implementation patterns.
Architects robust data pipelines, optimizes SQL queries, and manages large-scale ETL/ELT workflows across modern data warehouses.
Implements high-performance Redis data structures including reliable queues, unique collections, and complex set operations for distributed applications.
Implements production-grade Redis transaction patterns using MULTI/EXEC, optimistic locking with WATCH, and atomic Lua scripting.
Optimizes PostgreSQL performance, designs scalable architectures, and troubleshoots complex database internals with production-grade precision.
Integrates Supabase with Next.js App Router projects using secure patterns for authentication, database management, and row-level security.
Manages production-grade Redis Cluster operations including horizontal scaling, hash slot distribution, and automated failover procedures.
Enforces database query conventions, type safety, and permission filtering using standardized Drizzle ORM patterns.
Powers distributed AI systems with low-latency QUIC synchronization, hybrid vector search, and multi-database management.
Provides programmatic guidance for adding fields to PocketBase collection schemas using the JavaScript SDK.
Migrates blockchain data indexers from TheGraph subgraphs to Envio HyperIndex for faster performance and modern TypeScript development.
Optimizes AI memory structures through automated clustering, pruning, and relationship strengthening to maintain long-term context efficiency.
Optimizes Redis data management with advanced patterns for Hashes and Sorted Sets, including leaderboards, object storage, and ranking systems.
Monitors PostgreSQL database performance and health through automated metric collection, observability patterns, and diagnostic alerting.
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