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。
Architects high-performance distributed database schemas using query-first modeling and single-table design patterns for Cassandra and DynamoDB.
Implements high-performance read models and CQRS projections from event streams for optimized data retrieval.
Optimizes PostgreSQL database performance by analyzing execution plans, identifying bottlenecks, and implementing advanced indexing strategies.
Optimizes distributed database architecture for Cassandra and DynamoDB using query-first modeling and high-scale design patterns.
Bootstraps new Supabase projects with professional tooling for task management, SQL formatting, and schema introspection.
Designs scalable, optimized database schemas and generates production-ready migrations across SQL and NoSQL platforms.
Constructs optimized and secure database queries using parameterized statements, eager loading, and efficient indexing strategies.
Implements scalable serverless backend services including Firestore, Authentication, and Cloud Functions using production-grade security patterns.
Implements end-to-end SaaS features including database migrations, backend logic, and frontend components in a single streamlined workflow.
Writes high-performance, secure T-SQL code and optimizes SQL Server database schemas using industry best practices.
Optimizes database performance through advanced query tuning, strategic indexing, and production-grade data modeling.
Executes safe SELECT queries against MySQL and MariaDB databases with built-in connection pooling and SQL injection prevention.
Streamlines the population of Supabase databases with automated seed data generation, bulk loading, and lookup table management.
Prevents D1/SQLite 'too many SQL variables' errors by automatically batching Drizzle ORM queries with dynamic arrays.
Queries and joins data across PostgreSQL, MySQL, and SQLite databases using a unified SQL engine for advanced data exploration.
Provides comprehensive guidance for building secure and scalable applications using Supabase database, auth, storage, and edge functions.
Executes database schema and data migrations across multiple ORMs with zero-downtime strategies and rollback procedures.
Implements a hybrid ID strategy using Nanoids for public-facing identifiers and UUIDs for internal PostgreSQL references.
Designs production-ready, normalized database schemas with relationships, constraints, and Row Level Security specifically for Supabase.
Optimizes database performance through advanced indexing strategies, query plan analysis, and efficient data retrieval patterns.
Generates production-ready CRUD operations for Supabase tables with built-in error handling, type safety, and RLS awareness.
Implements industry-standard database design patterns, indexing strategies, and migration best practices for optimized data persistence.
Implements high-performance semantic vector search and document retrieval with sub-millisecond latency for intelligent RAG systems.
Optimizes distributed AI systems with low-latency QUIC synchronization, hybrid vector search, and advanced multi-database management.
Optimizes AgentDB implementations with advanced capabilities like QUIC synchronization, hybrid search, and distributed database management.
Optimizes high-volume data synchronization from external APIs to databases using multi-row insert patterns and foreign key pre-filtering.
Unifies disparate AI memory systems into a high-performance AgentDB backend with HNSW vector search for massive retrieval speedups.
Streamlines the creation and deployment of PostgreSQL scripts optimized for the Windmill orchestration platform.
Implements conflict-free replicated data types and bidirectional lens optics for seamless, distributed state synchronization.
Simplifies SQL database management using the Kysely type-safe query builder for Expo and Bun environments.
Scroll for more results...