database management Claude 스킬을 발견하세요. 25개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Provides technical procedures and systematic workflows for recovering data from corrupted, encrypted, or inaccessible SQLite Write-Ahead Log (WAL) files.
Optimizes SQL queries through systematic performance benchmarking, execution plan analysis, and iterative refinement across multiple database engines.
Constructs and verifies complex SPARQL queries for RDF datasets with a focus on academic ontologies and graph pattern matching.
Architects production-ready Firebase Firestore implementations with expert-level NoSQL modeling, real-time synchronization, and robust security rules.
Standardize and automate multi-tenant database schema design using SQLModel and Drizzle ORM.
Implements robust data validation and schema alignment using Pydantic v2 for PlanetScale and API services.
Enforces standardized database conventions, multi-tenant isolation, and schema best practices for Drizzle ORM and SQLModel.
Implements high-performance vector similarity search and embedding storage directly within SQLite databases.
Reviews SQLAlchemy code to optimize session management, eliminate N+1 queries, and ensure database migration safety.
Reviews PostgreSQL code for optimal indexing, JSONB performance, connection pooling, and transaction safety.
Manages Apache Kafka clusters and data streams using modern CLI tools like kcat, kaf, and kafkactl.
Simplifies the integration and configuration of Model Context Protocol (MCP) servers for managing Kafka operations directly within AI coding environments.
Master real-time event streaming and data processing using ksqlDB's SQL-like syntax on Kafka topics.
Migrates dbt Core projects to the dbt Fusion engine by resolving compatibility errors, deprecations, and unsupported configurations.
Streamlines data transformation and analytics engineering workflows by applying software engineering best practices to dbt projects.
Simplifies the creation and management of dbt Semantic Layer components including semantic models, metrics, and dimensions.
Configures and optimizes Kafka Connect pipelines for seamless data movement between databases, cloud storage, and search indexes.
Manages database operations, performance tuning, and high availability configurations across multiple DBMS platforms through a structured workflow.
Designs modern data platforms and implements scalable data architecture patterns like data lakes, lakehouses, and data mesh.
Designs and documents robust data structures using Entity-Relationship Diagrams, data dictionaries, and multi-level schema models.
Provides architectural guidance and implementation patterns for designing modern data pipelines and transformation workflows.
Architects high-performance vector search systems by providing guidance on database selection, ANN algorithms, and scaling strategies.
Architects and implements robust event-sourced systems using standardized patterns for event stores, aggregates, and projections.
Designs optimized database schemas and guides architectural decisions for operational and analytical systems.
Generates production-ready SurrealQL queries and schemas for multi-model database applications including document, graph, and relational patterns.
Streamlines SAP ABAP Core Data Services development by providing expert guidance on data modeling, view entities, and semantic annotations.
Streamlines SAP HANA database development and administration using the hana-cli tool for object inspection, SQL execution, and metadata conversion.
Streamlines SAP Datasphere development by providing expert guidance on data modeling, integration flows, and cloud-native data warehousing on SAP BTP.
Develops, optimizes, and debugs production-ready SAP HANA SQLScript procedures and ABAP Managed Database Procedures (AMDP).
Implements high-scale, stateful system architectures using in-memory data grid patterns to eliminate database bottlenecks.
Scroll for more results...