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。
Converts between Lisp S-expressions and Algebraic Data Sets (ACSets) using OCaml-inspired bidirectional serialization patterns.
Enables bidirectional conversion between Lisp S-expressions and algebraic databases (ACSets) using OCaml-inspired serialization patterns.
Executes PostGIS-compatible spatial SQL queries and H3 hexagonal indexing for advanced geographic data analysis within DuckDB.
Builds and manages semantic memory systems using knowledge graphs and GraphRAG patterns for enhanced AI reasoning.
Accesses and transforms data from Knack objects and views via REST API for operational reporting and data analysis.
Streamlines the development of robust Convex backends through advanced action implementation, HTTP routing, schema validation, and task scheduling.
Models complex data structures and transformations using Attributed C-Sets (ACSets) and category-theoretic database design.
Automates universal schema migrations and data transformations using advanced category theory principles.
Automates full dataset retrieval from the Knack API by managing page limits, rate limiting, and record streaming.
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.
Automates HTI Knack database operations including complex filtering, pagination management, and automated compliance reporting.
Cleans and validates Knack database records to ensure data integrity and regulatory compliance for reporting dashboards.
Optimizes Knack database queries through dynamic filtering, multi-level sorting, and payload reduction for high-performance dashboards.
Implements Flix-based Datalog reasoning with lattice semantics and GF(3) coloring for declarative routing and skill composition.
Implements scalable, auditable system architectures using Command Query Responsibility Segregation and Event Sourcing patterns.
Implements scalable architectural patterns for separated read/write models and immutable event logs to ensure system auditability.
Optimizes Azure SQL Database performance through platform-specific configurations, monitoring scripts, and scaling strategies.
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.
Provides a comprehensive reference and implementation patterns for T-SQL functions across SQL Server and Azure SQL Database versions.
Optimizes SQL Server database performance through expert index design, selection, and maintenance strategies.
Optimizes SQL Server and Azure SQL Database performance through advanced T-SQL query tuning and execution plan analysis.
Analyzes and compares DuckDB and LanceDB architectures using category theory and algebraic data structures (ACSets).
Compare database schemas and data structures using algebraic databases and persistent homology coverage analysis.
Compares complex data structures like DuckDB and LanceDB using algebraic databases and category-theoretic analysis.
Architects normalized PostgreSQL schemas and implements type-safe Drizzle ORM models with industry-standard best practices.
Resolves path conversion conflicts between Windows and Git Bash for SSDT, SqlPackage, and DACPAC workflows.
Models domain entities from requirements using Domain-Driven Design (DDD) principles to define attributes, relationships, and state machines.
Manages Keboola project configurations and executes comprehensive multi-agent reviews for SQL, data architecture, and financial logic.
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