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。
Executes arbitrary SQL queries against the Larvling database to manage sessions, tasks, and structured topics.
Architects normalized PostgreSQL schemas and implements type-safe Drizzle ORM models with industry-standard best practices.
Compares complex data structures like DuckDB and LanceDB using algebraic databases and category-theoretic analysis.
Analyzes and compares DuckDB and LanceDB architectures using category theory and algebraic data structures (ACSets).
Architects scalable database schemas and optimizes query performance across relational and NoSQL systems.
Models domain entities from requirements using Domain-Driven Design (DDD) principles to define attributes, relationships, and state machines.
Resolves path conversion conflicts between Windows and Git Bash for SSDT, SqlPackage, and DACPAC workflows.
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.
Streamlines the development of robust Convex backends through advanced action implementation, HTTP routing, schema validation, and task scheduling.
Enables bidirectional conversion between Lisp S-expressions and algebraic databases (ACSets) using OCaml-inspired serialization patterns.
Implements category-theoretic algebraic databases to provide flexible, composable in-memory data structures generalizing graphs and data frames.
Implements and manages Convex mutation functions with best practices for database operations, validation, and task scheduling.
Interleaves video transcripts with technical skill corpora using algebraic database schemas and GF(3) conservation principles.
Traces column-level data lineage through SQL, Kafka, Spark, and ORM codebases to map data flow and transformations.
Implements Flix-based Datalog reasoning with lattice semantics and GF(3) coloring for declarative routing and skill composition.
Automates full dataset retrieval from the Knack API by managing page limits, rate limiting, and record streaming.
Models rigorous database schemas by distinguishing entities from attributes to enable category-theoretic data structures and ACSets.
Removes specific stored statements or entire topics from Larvling's memory to maintain database accuracy and relevance.
Searches and retrieves domain-specific knowledge and persistent statements stored in Larvling's database.
Optimizes PostgreSQL performance, manages complex database administration tasks, and implements advanced indexing and replication strategies.
Optimizes database performance through query tuning, strategic indexing, and execution plan analysis for PostgreSQL and MySQL.
Provides a comprehensive reference and implementation patterns for T-SQL functions across SQL Server and Azure SQL Database versions.
Optimizes Azure SQL Database performance through platform-specific configurations, monitoring scripts, and scaling strategies.
Optimizes SQL Server and Azure SQL Database performance through advanced T-SQL query tuning and execution plan analysis.
Optimizes SQL Server database performance through expert index design, selection, and maintenance strategies.
Implements complex SQL Server techniques including recursive CTEs, temporal tables, and memory-optimized operations.
Enables advanced SQL Server 2025 capabilities including native vector database support, AI model integration, and modernized deployment workflows.
Updates Claude with the latest PostgreSQL 17 and 18 features, including SQL/JSON functions, MERGE enhancements, and virtual generated columns.
Bridges the gap in Claude’s spatial database knowledge by providing the latest PostGIS 3.5 and 3.6 features, functions, and breaking changes.
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