Database Management Agent Skills

FABER DB Coordinator

Orchestrates database lifecycle operations across development phases from requirement detection to production release.

Database Patterns & Optimization

Implements high-performance database migrations, query optimizations, and transaction management patterns for robust data layers.

PG Gleam Postgres Guide

Optimizes Postgres performance and schema design for Gleam-based backend stacks using Squirrel, POG, and Cigogne.

Reconciliation Patterns

Automates data consistency and recovery between external services and local databases by handling webhook failures and event drift.

CleanDDD Modeling Architect

Translates structured requirements into CleanDDD modeling blueprints and database DDL scripts for automated code generation.

OpenSaaS App Builder

Orchestrates the systematic creation of full-stack applications using the OpenSaaS Stack by mapping requirements to production-ready features.

AgentDB Advanced Vector Search & Sync

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

Trino Query Optimizer

Optimizes Trino query performance and troubleshoots execution issues within Treasure Data environments to reduce costs and latency.

Prisma Database Management

Automates Prisma-specific database operations, schema management, and migration workflows within Claude Code.

Health Checker

Monitors database health and detects issues like schema drift and connectivity failures across multiple environments.

Hive SQL Expert

Writes and optimizes Hive SQL queries for Treasure Data environments with a focus on time-based partitioning and performance tuning.

Treasure Data MCP

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

SQL Optimization Patterns

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

PostgreSQL Table Design

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

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.

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.

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.

AgentDB Performance Optimization

Optimizes AgentDB vector databases through quantization, HNSW indexing, and advanced caching to maximize search speed and minimize memory overhead.

Safe Migration Deployer

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

Database Design

Designs efficient database schemas, plans safe migrations, and optimizes queries for relational and document databases using industry-best practices.

Database Migration Guide

Provides expert guidance and automated workflows for migrating databases across engines, versions, and cloud platforms with minimal downtime.

CRDT State Management

Manages local-first data synchronization and state persistence using Loro CRDTs and draft-style mutations.

Conceptual Data Modeling

Defines core system entities and relationships using a minimal, plain-language conceptual approach.

Bazinga DB Context

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

TanStack DB Local-First Development

Builds reactive, local-first applications with sub-millisecond live queries and seamless background data synchronization.

DuckDB TimeTravel & ACSet Schema

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