Discover Agent Skills for database management. Browse 25skills for Claude, ChatGPT & Codex.
Streamlines the creation and optimization of SAP ABAP Core Data Services (CDS) views for advanced data modeling and semantic enrichment.
Optimizes data-intensive applications through streaming, bulk operations, and high-speed count strategies for the Koan framework.
Optimizes SQL queries and database performance through indexing strategies, query plan analysis, and efficient data access patterns.
Executes complex database schema and data migrations across multiple ORMs with robust rollback and zero-downtime strategies.
Optimizes PostgreSQL database architecture using professional best practices, advanced data typing, and high-performance indexing strategies.
Enables time-travel SQL queries and deterministic interaction history using embedded DuckDB databases.
Synchronizes session data across multiple AI agents using a topological B3 Poset database structure.
Generates structured JSON fixtures and Python import logic for Frappe Framework test data and master site configurations.
Generates production-ready Python scripts for migrating, transforming, and importing large datasets into Frappe Framework applications.
Streamlines the discovery, access, and querying of local DuckDB databases and associated Python utility libraries.
Manages on-chain GF(3) entropy storage and state mediation on Aptos using the bulk-boundary correspondence principle.
Generates production-ready Django database models with optimized field types, relationships, and migration workflows.
Evaluates and optimizes system architectures for file-based queuing, data persistence, and messaging reliability.
Enables advanced DuckDB time-travel queries and bi-temporal data tracking with deterministic interaction coloring.
Bridges Lisp-style S-expressions with Algebraic Databases (ACSets) for seamless serialization and data manipulation in Julia.
Facilitates seamless migrations from Prisma, KeystoneJS, and Next.js projects to the OpenSaaS Stack with expert guidance.
Implements category-theoretic data structures and algebraic databases using attributed C-sets for advanced technical computing.
Generates DBeaver database client configurations from Pydantic models using mise as a single source of truth.
Architects robust PostgreSQL schemas using expert normalization, indexing strategies, and zero-downtime migration patterns.
Manages complex data structures using category-theoretic formalism for in-memory relational databases and graphs.
Analyzes and compares DuckDB and LanceDB schemas using algebraic databases and category theory to identify structural differences and data loss.
Facilitates universal schema migrations and data transformations using category theory principles of left and right Kan extensions.
Enforces no-fixed-point permutations and GF(3) color conservation within distributed CRDT state transitions.
Automates systematic data profiling and exploration across multiple SQL database dialects.
Guides systematic SQL query development for data analysis, ensuring accuracy and reproducibility through a structured five-phase process.
Standardizes the CSV import process through automated discovery, schema design, and data normalization for relational databases.
Manages cross-agent knowledge sharing, persistent learning patterns, and context consumption for multi-agent AI teams.
Provision and connect to DigitalOcean managed database clusters including PostgreSQL, Redis, MongoDB, and Kafka.
Implements robust state persistence and checkpointing patterns for LangGraph agents using Memory, SQLite, and Postgres backends.
Deploys standardized Supabase database schemas for tracking AI agent runs, events, artifacts, and tool calls.
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