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。
Automates the design and implementation of GraphRAG systems using PostgreSQL, pgvector, and PGroonga.
Generates and refines DuckDB SQL queries for data analysis using local database, CSV, and Parquet files.
Automates comprehensive database health checks to validate connectivity, performance, and integrity during release cycles.
Architects optimized PostgreSQL schemas using industry best practices for data integrity, performance, and scalability.
Executes SQL queries and translates natural language into database commands for local PostgreSQL instances.
Architects, optimizes, and manages enterprise-grade SQL and NoSQL database systems with expert-level performance tuning and security.
Optimizes Ruby on Rails database interactions with production-grade ActiveRecord patterns and performance best practices.
Designs high-performance, production-grade PostgreSQL schemas optimized for durability, scalability, and modern data standards.
Automates the ingestion of CSV and Excel files into DuckDB with integrated data validation and markdown reporting.
Architects robust data pipelines, ETL/ELT workflows, and scalable data warehouse solutions using modern stack patterns.
Orchestrates a multi-phase database schema optimization workflow with automated validation and impact assessment.
Designs and visualizes normalized database schemas while generating production-ready SQL scripts.
Integrates Elasticsearch and OpenSearch for complex search queries, data aggregations, and comprehensive index management.
Manages persistent AI memory through semantic, episodic, and working storage to enhance long-term context and knowledge recall.
Automates the design, implementation, and management of table partitioning strategies to optimize performance for large-scale databases.
Integrates Claude Code with Airtable to manage bases, tables, and records through a streamlined Python interface.
Designs high-performance, production-grade PostgreSQL schemas using domain-specific best practices and advanced indexing strategies.
Manages data lineage, metadata cataloging, access control, and compliance standards for modern data platforms.
Automates database schema and data migrations across multiple ORMs with robust rollback and zero-downtime strategies.
Implements robust data validation and quality assurance using Great Expectations, dbt tests, and formal data contracts.
Implements production-ready dbt patterns for scalable data modeling and analytics engineering.
Optimizes database performance through advanced indexing strategies, query plan analysis, and efficient data access patterns.
Implements best practices for querying and managing geospatial data in PostgreSQL with PostGIS.
Simplifies MongoDB integration in FastAPI applications using Beanie ODM for asynchronous document mapping and advanced query patterns.
Architects and implements full-stack Supabase applications using PostgreSQL 16, real-time subscriptions, and AI-powered vector search.
Powers distributed AI systems with advanced vector search, QUIC synchronization, and multi-database management.
Optimizes AgentDB vector database performance using quantization, HNSW indexing, and advanced caching strategies.
Architects and optimizes robust database solutions across PostgreSQL, MongoDB, and Redis to support scalable application development.
Designs optimized database schemas, dimensional models, and normalized structures for efficient data analytics and storage.
Optimizes serverless PostgreSQL workflows using Neon's auto-scaling, database branching, and connection pooling capabilities.
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