Database Management Claude 技能

Supabase Agentic Platform Schema

Deploys standardized Supabase database schemas for tracking AI agent runs, events, artifacts, and tool calls.

LangGraph State Persistence

Implements robust state persistence and checkpointing patterns for LangGraph agents using Memory, SQLite, and Postgres backends.

Managed Databases (DigitalOcean)

Provision and connect to DigitalOcean managed database clusters including PostgreSQL, Redis, MongoDB, and Kafka.

AgentDB Advanced Vector Search & Sync

Manages advanced AgentDB features for distributed AI systems, including sub-millisecond QUIC synchronization, hybrid search, and multi-database orchestration.

Treasure Data MCP

Integrates Claude Code with Treasure Data to enable natural language querying, database management, and workflow monitoring via the Model Context Protocol.

Safe Migration Deployer

Deploys database migrations safely across multiple environments with automated health checks and production backups.

ActiveRecord Query Patterns

Optimizes Ruby on Rails database interactions using advanced ActiveRecord patterns, query optimization, and PostgreSQL-specific features.

Bazinga DB Context

Manages cross-agent knowledge sharing, persistent learning patterns, and context consumption for multi-agent AI teams.

PHP Database Mastery

Optimizes PHP database interactions using advanced PDO patterns, ORM implementations, and high-performance query tuning.

Medallion Architecture for Databricks

Implements scalable data lakehouse patterns using Bronze, Silver, and Gold layer design principles and templates.

Databricks Data Classification

Automates data classification and tagging within Databricks Unity Catalog to ensure regulatory compliance and data governance.

Databricks Unity Catalog Governance

Implements secure, enterprise-grade data governance frameworks and access control models within the Databricks Unity Catalog environment.

Data Product Engineering

Implements robust data mesh architectures with standardized contracts, SLAs, and governance frameworks on Databricks.

Dataverse Queries

Simplifies retrieving and filtering data from Microsoft Dataverse using optimized OData and SQL syntax.

dbt for Treasure Data

Provides expert guidance and implementation patterns for using dbt (data build tool) with the Treasure Data Trino engine.

Dataverse Schema Design

Designs robust Microsoft Dataverse table schemas and data models following enterprise best practices.

Trino SQL for Treasure Data

Provides expert guidance for writing, optimizing, and debugging Trino SQL queries specifically tailored for the Treasure Data ecosystem.

Database Management & Drizzle ORM

Manages database operations, schema definitions, and migrations using Drizzle ORM and Neon PostgreSQL for robust data layers.

DuckDB TimeTravel & ACSet Schema

Manages temporal versioning and generates relational schemas from category-theoretic ACSet definitions within DuckDB.

ACSet Algebraic Databases

Implement and manage category-theoretic data structures using Attributed C-Sets for robust, schema-first data modeling.

Trino CLI for Treasure Data

Provides expert guidance on using the Trino command-line interface to interactively query and explore Treasure Data environments.

SQL Optimization Patterns

Optimizes database performance through advanced indexing strategies, query plan analysis, and efficient SQL design patterns.

Systematic Data Import

Standardizes the CSV import process through automated discovery, schema design, and data normalization for relational databases.

Analytical SQL Writing

Guides systematic SQL query development for data analysis, ensuring accuracy and reproducibility through a structured five-phase process.

PostgreSQL Table Design

Designs optimized PostgreSQL schemas using industry best practices for performance, data integrity, and scalability.

Data Profiler & Explorer

Automates systematic data profiling and exploration across multiple SQL database dialects.

Railway Postgres Manager

Manages PostgreSQL databases on Railway with support for ORM migrations, connection pooling, and automated backups.

Database Relationship Detector

Identifies and validates foreign key relationships in relational databases using naming heuristics and deep value overlap analysis.

Koan Entity Relationships

Optimizes data entity navigation and prevents N+1 query issues through efficient batch loading and relationship patterns.

Railway Qdrant Manager

Manages Qdrant vector database deployments on Railway for high-performance AI applications and semantic search systems.