Discover Agent Skills for database management. Browse 25 skills for Claude, ChatGPT & Codex.
Provides technical procedures and systematic workflows for recovering data from corrupted, encrypted, or inaccessible SQLite Write-Ahead Log (WAL) files.
Optimizes and manages Neon serverless PostgreSQL databases with specialized support for branching, auto-scaling, and edge-compatible connection pooling.
Automates metadata classification and policy tagging for Treasure Data schemas to ensure governance and compliance with minimal manual effort.
Optimizes SQL queries for maximum performance by identifying bottlenecks, rewriting inefficient subqueries, and implementing high-performance patterns like window functions and CTEs.
Recovers data from SQLite Write-Ahead Log (WAL) files by identifying, analyzing, and decrypting corrupted or inaccessible database components.
Optimizes Firebase Firestore implementation with expert NoSQL modeling, real-time synchronization, and advanced Security Rules configuration.
Provides specialized guidance for constructing and verifying SPARQL queries against RDF and Turtle datasets, specifically tailored for academic and university data structures.
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.
Manages Apache Kafka clusters and data streams using modern CLI tools like kcat, kaf, and kafkactl.
Simplifies the creation and management of dbt Semantic Layer components including semantic models, metrics, and dimensions.
Migrates dbt Core projects to the dbt Fusion engine by resolving compatibility errors, deprecations, and unsupported configurations.
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.
Streamlines data transformation and analytics engineering workflows by applying software engineering best practices to dbt projects.
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.
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.
Provides architectural guidance and implementation patterns for designing modern data pipelines and transformation workflows.
Enforces event-driven architecture and immutable state patterns within the HZL task ledger system.
Designs modern data platforms and implements scalable data architecture patterns like data lakes, lakehouses, and data mesh.
Designs and documents robust data structures using Entity-Relationship Diagrams, data dictionaries, and multi-level schema models.
Generates production-ready SurrealQL queries and schemas for multi-model database applications including document, graph, and relational patterns.
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