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。
Optimizes database performance through efficient query patterns, advanced indexing strategies, and comprehensive performance analysis.
Manages database schema changes and data transformations using standardized TypeORM migration patterns.
Optimizes PostgreSQL database performance through deep query analysis, indexing strategies, and expert server configuration tuning.
Provides comprehensive guidance on working with Logseq's database-based data model, covering nodes, typed properties, classes, and advanced Datalog queries.
Defines and optimizes database models with appropriate data types, relationships, and integrity constraints across various ORM frameworks.
Provides standardized patterns and best practices for querying databases using Prisma Client.
Writes secure, performant database queries and data access logic using optimization techniques and security best practices.
Manages database schema changes through version-controlled migration files while ensuring rollback safety and zero-downtime compatibility.
Optimizes SQLite database development with advanced configurations, full-text search, and high-performance integration patterns.
Generates, optimizes, and troubleshoots database queries across multiple SQL and NoSQL systems to ensure peak performance and scalability.
Automates the creation and configuration of Supabase projects with comprehensive authentication and security setups.
Synchronizes local codebase domain models, entities, and API schemas with Qlerify to maintain architectural alignment.
Enforces standardized PostgreSQL schema design patterns and best practices for robust relational data modeling.
Optimizes SQLite databases through advanced PRAGMA configurations, indexing strategies, and high-performance query patterns.
Provides standardized entity-relationship design patterns and schema implementation guides for robust database architecture.
Implements type-safe DynamoDB single-table designs using the dynamodb-toolbox v2 library for TypeScript projects.
Implements modern SQLAlchemy 2.0+ patterns for robust Python database access and ORM management.
Simplifies DynamoDB single-table design using dynamodb-toolbox v2 for type-safe, high-performance TypeScript data layers.
Implements modern SQLAlchemy 2.0+ patterns for robust Python database modeling and optimized query execution.
Implements type-safe database schemas and high-performance SQL queries using Drizzle ORM across multiple database engines.
Simplifies type-safe database management using Drizzle ORM across PostgreSQL, MySQL, SQLite, and Cloudflare environments.
Implements high-performance database patterns using the better-sqlite3 library for Node.js applications.
Architects, optimizes, and secures SurrealDB applications using multi-model database patterns and real-time capabilities.
Provides optimized SQLite implementation patterns, database schemas, and advanced query techniques for Node.js environments.
Implements safe, reversible, and non-blocking database schema changes following industry best practices for production environments.
Implements safe, zero-downtime PostgreSQL schema migrations using industry-standard patterns and best practices.
Optimizes PostgreSQL database performance by implementing advanced indexing strategies and maintenance patterns.
Establishes a unified project language and robust data structures to ensure consistency across AI-native development workflows.
Streamlines RDBMS integration in C# for PostgreSQL, MySQL, DuckDB, and legacy systems using optimized access patterns and drivers.
Transforms unstructured Markdown documentation into rigorous, machine-verifiable data schemas using Pydantic models and YAML entities.
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