Database Management Claude 技能

ClickHouse Analytics & Data Engineering

Optimizes ClickHouse database performance through high-efficiency table design, advanced query patterns, and real-time analytics best practices.

Database Design & Architecture

Architects optimized database schemas and selects the ideal data stack based on specific project requirements and performance needs.

NoSQL Database Architect

Architects high-scale distributed database schemas for Cassandra and DynamoDB using query-first modeling and performance-optimized patterns.

AgentDB Advanced Features

Implements high-performance vector search, distributed QUIC synchronization, and multi-database management for advanced AI systems.

Database Design Architect

Optimizes database architecture by providing expert guidance on schema design, ORM selection, and performance indexing.

Database Design & Strategy

Architects high-performance database schemas and provides strategic guidance on database and ORM selection.

Supabase Database Migrations

Manages idempotent Supabase database migrations, Row Level Security policies, and SaaS schema patterns via MCP.

ClickHouse Analytics & Data Engineering

Optimizes ClickHouse database performance through high-performance schema design, analytical query patterns, and efficient data engineering practices.

ClickHouse Analytics & Data Engineering

Optimizes high-performance analytical workloads using specialized ClickHouse query patterns, table engines, and data engineering best practices.

NoSQL Expert Design Patterns

Architects high-performance distributed database schemas using query-first modeling and single-table design patterns for Cassandra and DynamoDB.

Supabase Schema Designer

Designs production-ready, normalized database schemas with relationships, constraints, and Row Level Security specifically for Supabase.

SQL Optimization Patterns

Optimizes database performance through advanced indexing strategies, query plan analysis, and efficient data retrieval patterns.

NoSQL Expert Patterns

Optimizes distributed database architecture for Cassandra and DynamoDB using query-first modeling and high-scale design patterns.

Supabase CRUD Operations

Generates production-ready CRUD operations for Supabase tables with built-in error handling, type safety, and RLS awareness.

Database Design Patterns

Implements industry-standard database design patterns, indexing strategies, and migration best practices for optimized data persistence.

Backend Queries

Constructs optimized and secure database queries using parameterized statements, eager loading, and efficient indexing strategies.

Firebase Backend Suite

Implements scalable serverless backend services including Firestore, Authentication, and Cloud Functions using production-grade security patterns.

SaaS Rapid Feature Implementer

Implements end-to-end SaaS features including database migrations, backend logic, and frontend components in a single streamlined workflow.

T-SQL Pro & Database Optimization

Writes high-performance, secure T-SQL code and optimizes SQL Server database schemas using industry best practices.

SQL Expert & Data Modeling

Optimizes database performance through advanced query tuning, strategic indexing, and production-grade data modeling.

MySQL Database Skill

Executes safe SELECT queries against MySQL and MariaDB databases with built-in connection pooling and SQL injection prevention.

AgentDB Advanced Features

Optimizes distributed AI systems with low-latency QUIC synchronization, hybrid vector search, and advanced multi-database management.

SQL Batching

Prevents D1/SQLite 'too many SQL variables' errors by automatically batching Drizzle ORM queries with dynamic arrays.

Unified SQL Data Analyst

Queries and joins data across PostgreSQL, MySQL, and SQLite databases using a unified SQL engine for advanced data exploration.

Supabase Expert

Provides comprehensive guidance for building secure and scalable applications using Supabase database, auth, storage, and edge functions.

AgentDB Advanced Features

Optimizes AgentDB implementations with advanced capabilities like QUIC synchronization, hybrid search, and distributed database management.

PostgreSQL Nanoid Identifiers

Implements a hybrid ID strategy using Nanoids for public-facing identifiers and UUIDs for internal PostgreSQL references.

Bulk Static Data Sync

Optimizes high-volume data synchronization from external APIs to databases using multi-row insert patterns and foreign key pre-filtering.

V3 Memory Unification & AgentDB Integration

Unifies disparate AI memory systems into a high-performance AgentDB backend with HNSW vector search for massive retrieval speedups.

Windmill PostgreSQL Scripting

Streamlines the creation and deployment of PostgreSQL scripts optimized for the Windmill orchestration platform.