Discover Agent Skills for database management. Browse 25 skills for Claude, ChatGPT & Codex.
Standardize and automate multi-tenant database schema design using SQLModel and Drizzle ORM.
Architects production-ready Firebase Firestore implementations with expert-level NoSQL modeling, real-time synchronization, and robust security rules.
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.
Reviews PostgreSQL code for optimal indexing, JSONB performance, connection pooling, and transaction safety.
Reviews SQLAlchemy code to optimize session management, eliminate N+1 queries, and ensure database migration safety.
Implements high-performance vector similarity search and embedding storage directly within SQLite databases.
Migrates dbt Core projects to the dbt Fusion engine by resolving compatibility errors, deprecations, and unsupported configurations.
Simplifies the creation and management of dbt Semantic Layer components including semantic models, metrics, and dimensions.
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.
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.
Streamlines data transformation and analytics engineering workflows by applying software engineering best practices to dbt projects.
Provides architectural guidance and implementation patterns for designing modern data pipelines and transformation workflows.
Optimizes ClickHouse SQL queries for maximum performance, reduced memory usage, and efficient index utilization.
Implements high-performance ClickHouse Materialized Views for real-time data aggregation, ETL pipelines, and query optimization using proven architectural patterns.
Optimizes ClickHouse table structures using performance-driven schema rules for sub-second queries and superior data compression.
Enforces event-driven architecture and immutable state patterns within the HZL task ledger system.
Designs and documents robust data structures using Entity-Relationship Diagrams, data dictionaries, and multi-level schema models.
Designs modern data platforms and implements scalable data architecture patterns like data lakes, lakehouses, and data mesh.
Designs optimized database schemas and guides architectural decisions for operational and analytical systems.
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.
Generates production-ready SurrealQL queries and schemas for multi-model database applications including document, graph, and relational patterns.
Diagnoses and optimizes backend performance issues including SQL bottlenecks, caching strategies, and N+1 query problems.
Guides the design and implementation of multi-tenant SaaS architectures using field, schema, and physical isolation patterns.
Streamlines SAP ABAP Core Data Services development by providing expert guidance on data modeling, view entities, and semantic annotations.
Streamlines SAP Datasphere development by providing expert guidance on data modeling, integration flows, and cloud-native data warehousing on SAP BTP.
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