database management向けのClaudeスキルを発見してください。29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 robust data validation and schema alignment using Pydantic v2 for PlanetScale and API services.
Standardize and automate multi-tenant database schema design using SQLModel and Drizzle ORM.
Manages database operations, performance tuning, and high availability configurations across multiple DBMS platforms through a structured workflow.
Master real-time event streaming and data processing using ksqlDB's SQL-like syntax on Kafka topics.
Simplifies the integration and configuration of Model Context Protocol (MCP) servers for managing Kafka operations directly within AI coding environments.
Manages Apache Kafka clusters and data streams using modern CLI tools like kcat, kaf, and kafkactl.
Configures and optimizes Kafka Connect pipelines for seamless data movement between databases, cloud storage, and search indexes.
Generates production-ready SurrealQL queries and schemas for multi-model database applications including document, graph, and relational patterns.
Implements robust Command Query Responsibility Segregation and Event Sourcing patterns for complex, scalable distributed systems.
Architects production-ready database schemas, manages migrations, and optimizes complex SQL queries for maximum performance.
Implements robust state persistence and crash recovery patterns for autonomous software agents.
Implements high-scale, stateful system architectures using in-memory data grid patterns to eliminate database bottlenecks.
Configures and optimizes Rails 8 Solid Cache for high-performance, database-backed application caching.
Implements pragmatic event-driven architectures in Rails monoliths using domain event recording and the inbox pattern.
Wraps JSON-backed database columns in ActiveModel-like classes for type safety, validations, and structured data management in Ruby on Rails.
Implements battle-tested NoSQL standards, implementation patterns, and security guidelines for production-grade database environments.
Configures and optimizes Solid Queue background job processing for Rails 8 applications using database-backed infrastructure.
Generates production-ready Salesforce metadata XML and performs advanced org querying with automated best-practice scoring.
Standardizes the design of rigorous database schemas, domain models, and knowledge graphs to ensure data integrity and system scalability.
Manages Salesforce data operations including complex SOQL queries, bulk imports, and automated test data generation via sf CLI.
Implements and manages Convex mutation functions with best practices for database operations, validation, and task scheduling.
Optimizes complex database queries and designs scalable schemas across multiple SQL dialects for high-performance applications.
Optimizes database performance through query tuning, strategic indexing, and execution plan analysis for PostgreSQL and MySQL.
Architects normalized PostgreSQL schemas and implements type-safe Drizzle ORM models with industry-standard best practices.
Optimizes PostgreSQL performance, manages complex database administration tasks, and implements advanced indexing and replication strategies.
Streamlines the development of robust Convex backends through advanced action implementation, HTTP routing, schema validation, and task scheduling.
Provides specialized guidance for defining, optimizing, and implementing efficient data retrieval functions within the Convex backend-as-a-service platform.
Architects robust data models for SQL and NoSQL databases using industry-standard normalization, indexing strategies, and migration patterns.
Provides comprehensive guidance on working with Logseq's database-based data model, covering nodes, typed properties, classes, and advanced Datalog queries.
Executes complex database migrations and schema transformations using zero-downtime strategies and cross-ORM best practices.
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