database management Claude 스킬을 발견하세요. 25개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Compares and synchronizes database schemas across different environments using automated guidance and structured validation workflows.
Manages comprehensive Firebase/Firestore operations, including standard database CRUD, advanced multi-agent communication, and secure service integrations.
Generates production-grade ORM models and entity classes while providing comprehensive architectural guidance and automation for database schema management.
Optimizes PostgreSQL database performance through advanced indexing, query plan analysis, partitioning, and connection pooling strategies.
Optimizes database performance through query analysis, advanced indexing strategies, and architectural best practices for PostgreSQL and MySQL.
Implements robust ETL pipelines, data warehousing schemas, and Apache Spark processing for scalable data infrastructure.
Implements high-performance Redis patterns including advanced caching strategies, rate limiting, and distributed locking.
Researches and documents database-specific SQL syntax and behaviors to ensure accurate R-to-SQL translations within dbplyr.
Manages local database operations, test data setup, and Docker-based environment configurations for the daily-api service.
Accelerates full-stack development with expert guidance on PostgreSQL 16, pgvector similarity search, and secure multi-tenant Row-Level Security.
Optimizes .NET data access layers using high-performance patterns like CQRS, batching, and efficient EF Core/Dapper configurations.
Implements high-performance Entity Framework Core patterns, migration workflows, and database resiliency strategies for .NET applications.
Optimizes and implements advanced database patterns across PostgreSQL, MongoDB, and Redis for scalable modern applications.
Manages local and server-based vector embeddings for RAG and semantic search applications.
Implements high-performance vector similarity search and metadata filtering for production-grade RAG and semantic search systems.
Automates Ruby on Rails model creation following a strict Test-Driven Development (TDD) workflow for Rails 8.1 applications.
Designs production-ready SQL and NoSQL database schemas using industry-standard normalization, indexing, and performance optimization patterns.
Executes SQL queries against WordPress development databases to inspect audit logs, debug table structures, and manage activity data.
Designs complex relational database schemas using Mermaid diagrams for enterprise-level documentation and automated relationship management.
Manages bkend.ai database schemas, CRUD operations, and complex data queries via MCP and REST APIs.
Builds scalable data pipelines, ETL/ELT systems, and production-grade data infrastructure using modern tools like Spark, Airflow, and dbt.
Builds, modifies, and validates dbt models using industry best practices for modular data transformation and automated testing.
Automates the definition and validation of dbt Semantic Layer components to create consistent, governed business metrics.
Retrieves and searches dbt documentation in LLM-friendly markdown format for dbt Cloud, Core, and the Semantic Layer.
Automates the setup and configuration of Model Context Protocol (MCP) servers to integrate dbt workflows with AI coding assistants.
Triages and classifies dbt-core to Fusion migration errors into actionable categories to streamline data project upgrades.
Optimizes and executes dbt CLI workflows with smart command formatting and resource selection.
Migrates dbt projects between data platforms like Snowflake and Databricks using real-time SQL dialect conversion and validation.
Generates standardized dbt unit test YAML definitions to validate SQL transformation logic using mocked inputs and expected outputs.
Analyzes and validates Django code to identify high-impact performance bottlenecks like N+1 queries, unbounded querysets, and missing database indexes.
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