Database Management Claude 스킬

ACSets Algebraic Databases

Implements category-theoretic algebraic databases to provide flexible, composable in-memory data structures generalizing graphs and data frames.

Larvling SQL Query

Executes arbitrary SQL queries against the Larvling database to manage sessions, tasks, and structured topics.

Larvling Knowledge Eraser

Removes specific stored statements or entire topics from Larvling's memory to maintain database accuracy and relevance.

Algebraic Databases (ACSets)

Implements Attributed C-Sets (ACSets) as in-memory algebraic databases for category-theoretic data modeling and graph manipulation.

Knowledge Graph Expert

Builds and manages semantic memory systems using knowledge graphs and GraphRAG patterns for enhanced AI reasoning.

Lisp S-Expression & ACSet Bridge

Converts between Lisp S-expressions and Algebraic Data Sets (ACSets) using OCaml-inspired bidirectional serialization patterns.

Lisp S-Expression & ACSet Bridge

Enables bidirectional conversion between Lisp S-expressions and algebraic databases (ACSets) using OCaml-inspired serialization patterns.

DuckDB Spatial & H3 Analysis

Executes PostGIS-compatible spatial SQL queries and H3 hexagonal indexing for advanced geographic data analysis within DuckDB.

DuckDB Temporal Versioning

Implements in-process SQL databases with time-travel semantics, causality tracking, and deterministic replay capabilities.

Convex Actions and General Development

Streamlines the development of robust Convex backends through advanced action implementation, HTTP routing, schema validation, and task scheduling.

ACSets Relational Thinking

Models complex data structures and transformations using Attributed C-Sets (ACSets) and category-theoretic database design.

CatColab Ologs

Constructs category-theoretic knowledge representations to define rigorous database schemas and conceptual models.

Flix-Datalog Reasoning

Implements Flix-based Datalog reasoning with lattice semantics and GF(3) coloring for declarative routing and skill composition.

Knack Data Reader

Accesses and transforms data from Knack objects and views via REST API for operational reporting and data analysis.

Kan Extensions Schema Migrator

Automates universal schema migrations and data transformations using advanced category theory principles.

Knack Database Expert

Automates HTI Knack database operations including complex filtering, pagination management, and automated compliance reporting.

Knack Data Cleaner

Cleans and validates Knack database records to ensure data integrity and regulatory compliance for reporting dashboards.

Knack Filter & Sort Manager

Optimizes Knack database queries through dynamic filtering, multi-level sorting, and payload reduction for high-performance dashboards.

CQRS & Event Sourcing Architect

Implements scalable, auditable system architectures using Command Query Responsibility Segregation and Event Sourcing patterns.

CQRS and Event Sourcing

Implements scalable architectural patterns for separated read/write models and immutable event logs to ensure system auditability.

Knack API Pagination Manager

Automates full dataset retrieval from the Knack API by managing page limits, rate limiting, and record streaming.

Azure SQL Optimization

Optimizes Azure SQL Database performance through platform-specific configurations, monitoring scripts, and scaling strategies.

SQL Server 2025 & SqlPackage Support

Enables advanced SQL Server 2025 capabilities including native vector database support, AI model integration, and modernized deployment workflows.

Advanced T-SQL Patterns

Implements complex SQL Server techniques including recursive CTEs, temporal tables, and memory-optimized operations.

T-SQL Functions Master

Provides a comprehensive reference and implementation patterns for T-SQL functions across SQL Server and Azure SQL Database versions.

T-SQL Index Strategies

Optimizes SQL Server database performance through expert index design, selection, and maintenance strategies.

T-SQL Query Optimization

Optimizes SQL Server and Azure SQL Database performance through advanced T-SQL query tuning and execution plan analysis.

Algebraic Database Schema Comparison

Analyzes and compares DuckDB and LanceDB architectures using category theory and algebraic data structures (ACSets).

Compositional ACSet Comparison

Compare database schemas and data structures using algebraic databases and persistent homology coverage analysis.

Compositional ACSet Comparison

Compares complex data structures like DuckDB and LanceDB using algebraic databases and category-theoretic analysis.