Discover Agent Skills for database management. Browse 25 skills for Claude, ChatGPT & Codex.
Provides expert guidance and implementation patterns for T-SQL query optimization, indexing strategies, and database administration.
Guides the creation of reusable, isolated Convex backend components with standardized schemas, functions, and deployment patterns.
Implements safe, zero-downtime database schema changes and data migrations using industry-standard best practices and ORM patterns.
Enforces strict multi-tenant data isolation by ensuring communityId filters are consistently applied across all MongoDB queries and service logic.
Optimizes ClickHouse database schemas and analytical queries for high-performance OLAP workloads and data engineering.
Optimizes database performance and manages schema design, migrations, and complex SQL query generation for relational databases.
Implements advanced vector database capabilities including QUIC synchronization, hybrid search, and distributed multi-agent coordination.
Implements high-performance semantic vector search and document retrieval for RAG systems and intelligent knowledge bases.
Implements high-performance semantic vector search and intelligent document retrieval using HNSW indexing and quantization for sub-millisecond querying.
Optimizes vector database performance and memory efficiency through advanced quantization techniques, HNSW indexing, and intelligent caching strategies.
Configures high-performance TimescaleDB hypertables with optimized compression, retention policies, and continuous aggregates.
Manages and optimizes Searchlite's internal storage pipeline, including indexing, durability, and segment compaction.
Generates database-agnostic CFML migrations for the Wheels framework to manage schema changes reliably.
Generates database-agnostic CFWheels migrations for schema management while enforcing best practices and fixing common CLI bugs.
Generates database-agnostic CFWheels migrations for schema management, table creation, and cross-platform database consistency.
Guides the design and implementation of optimized TimescaleDB schemas for high-performance time-series data storage and analysis.
Executes and manages database schema migrations, data transformations, and zero-downtime deployment strategies across multiple ORMs.
Validates database schemas, ensures data integrity, and verifies migration safety to prevent data loss or corruption.
Provides optimized PostgreSQL schema patterns and Row Level Security policies for building secure, scalable InsForge applications.
Implements Conflict-free Replicated Data Types (CRDTs) to enable eventually consistent state synchronization across distributed systems.
Standardizes and documents project data formats, frontmatter schemas, and validation rules based on observable codebase evidence.
Establishes best practices for creating reversible, zero-downtime database migrations with consistent naming and structure.
Optimizes AgentDB vector databases using quantization, HNSW indexing, and advanced caching to maximize search speed and minimize memory overhead.
Streamlines PostgreSQL database development with optimized schema design, indexing strategies, and security best practices.
Optimizes AgentDB vector databases using quantization, HNSW indexing, and advanced caching for high-performance AI agent memory.
Unifies multiple disparate memory systems into a high-performance AgentDB solution using HNSW vector indexing for massive search performance gains.
Consolidates disparate agent memory systems into a high-performance AgentDB backend with HNSW vector indexing for ultra-fast retrieval.
Implements safe, reversible database schema changes and zero-downtime deployment patterns across major ORMs and SQL dialects.
Consolidates multiple legacy memory systems into a high-performance AgentDB backend with HNSW vector search.
Coordinates distributed memory and state synchronization across multi-agent systems to ensure data consistency and high-performance retrieval.
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