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 scalable architectural patterns for separated read/write models and immutable event logs to ensure system auditability.
Implements scalable, auditable system architectures using Command Query Responsibility Segregation and Event Sourcing patterns.
Implements in-process SQL databases with time-travel semantics, causality tracking, and deterministic replay capabilities.
Constructs category-theoretic knowledge representations to define rigorous database schemas and conceptual models.
Enables advanced SQL Server 2025 capabilities including native vector database support, AI model integration, and modernized deployment workflows.
Implements complex SQL Server techniques including recursive CTEs, temporal tables, and memory-optimized operations.
Optimizes SQL Server and Azure SQL Database performance through advanced T-SQL query tuning and execution plan analysis.
Optimizes Azure SQL Database performance through platform-specific configurations, monitoring scripts, and scaling strategies.
Provides a comprehensive reference and implementation patterns for T-SQL functions across SQL Server and Azure SQL Database versions.
Manages Keboola project configurations and executes comprehensive multi-agent reviews for SQL, data architecture, and financial logic.
Analyzes and compares DuckDB and LanceDB architectures using category theory and algebraic data structures (ACSets).
Compares complex data structures like DuckDB and LanceDB using algebraic databases and category-theoretic analysis.
Compare database schemas and data structures using algebraic databases and persistent homology coverage analysis.
Simplifies the management of Keboola project structures, JSON configurations, and data pipeline transformations.
Resolves path conversion conflicts between Windows and Git Bash for SSDT, SqlPackage, and DACPAC workflows.
Architects normalized PostgreSQL schemas and implements type-safe Drizzle ORM models with industry-standard best practices.
Optimizes SQL Server database performance through expert index design, selection, and maintenance strategies.
Models domain entities from requirements using Domain-Driven Design (DDD) principles to define attributes, relationships, and state machines.
Implements Flix-based Datalog reasoning with lattice semantics and GF(3) coloring for declarative routing and skill composition.
Architects scalable database schemas and optimizes query performance across relational and NoSQL systems.
Architects optimized Prisma database schemas using industry-standard patterns for models, relationships, and performance indexing.
Defines and optimizes TypeORM database entities using standardized patterns for relations, indexes, and lifecycle hooks.
Executes complex database migrations and schema transformations using zero-downtime strategies and cross-ORM best practices.
Architects robust data models for SQL and NoSQL databases using industry-standard normalization, indexing strategies, and migration patterns.
Manages database schema evolutions and migration workflows using Prisma ORM best practices.
Provides standardized implementation patterns for modeling and querying complex database relationships using Prisma ORM.
Configures isolated database branches for safe, production-like development and testing without affecting live data.
Provides optimized PostgreSQL query patterns and best practices for robust database operations.
Provides standardized TypeORM query patterns and best practices for efficient database interaction.
Provides comprehensive guidance on working with Logseq's database-based data model, covering nodes, typed properties, classes, and advanced Datalog queries.
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