database management向けのClaudeスキルを発見してください。25個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Synchronizes multi-agent session data using B3 Poset structures and Bumpus sheaves to maintain shared state across AI agents.
Integrates programmatic data operations with Glide Big Tables using REST API v2 and the official TypeScript SDK.
Analyzes and compares database architectures using compositional algebraic data structures to evaluate storage, performance, and versioning patterns.
Optimizes PostgreSQL performance, manages complex database administration tasks, and implements advanced indexing and replication strategies.
Optimizes database performance through query tuning, strategic indexing, and execution plan analysis for PostgreSQL and MySQL.
Implements Attributed C-Sets (ACSets) as in-memory algebraic databases for category-theoretic data modeling and graph manipulation.
Implements category-theoretic algebraic databases to provide flexible, composable in-memory data structures generalizing graphs and data frames.
Interleaves video transcripts with technical skill corpora using algebraic database schemas and GF(3) conservation principles.
Models rigorous database schemas by distinguishing entities from attributes to enable category-theoretic data structures and ACSets.
Enables bidirectional conversion between Lisp S-expressions and algebraic databases (ACSets) using OCaml-inspired serialization patterns.
Converts between Lisp S-expressions and Algebraic Data Sets (ACSets) using OCaml-inspired bidirectional serialization patterns.
Automates full dataset retrieval from the Knack API by managing page limits, rate limiting, and record streaming.
Executes PostGIS-compatible spatial SQL queries and H3 hexagonal indexing for advanced geographic data analysis within DuckDB.
Provides specialized guidance for defining, optimizing, and implementing efficient data retrieval functions within the Convex backend-as-a-service platform.
Accesses and transforms data from Knack objects and views via REST API for operational reporting and data analysis.
Streamlines the development of robust Convex backends through advanced action implementation, HTTP routing, schema validation, and task scheduling.
Builds and manages semantic memory systems using knowledge graphs and GraphRAG patterns for enhanced AI reasoning.
Searches and retrieves domain-specific knowledge and persistent statements stored in Larvling's database.
Executes arbitrary SQL queries against the Larvling database to manage sessions, tasks, and structured topics.
Removes specific stored statements or entire topics from Larvling's memory to maintain database accuracy and relevance.
Implements in-process SQL databases with time-travel semantics, causality tracking, and deterministic replay capabilities.
Constructs category-theoretic knowledge representations to define rigorous database schemas and conceptual models.
Implements Flix-based Datalog reasoning with lattice semantics and GF(3) coloring for declarative routing and skill composition.
Automates universal schema migrations and data transformations using advanced category theory principles.
Automates HTI Knack database operations including complex filtering, pagination management, and automated compliance reporting.
Optimizes Knack database queries through dynamic filtering, multi-level sorting, and payload reduction for high-performance dashboards.
Cleans and validates Knack database records to ensure data integrity and regulatory compliance for reporting dashboards.
Implements scalable, auditable system architectures using Command Query Responsibility Segregation and Event Sourcing patterns.
Implements scalable architectural patterns for separated read/write models and immutable event logs to ensure system auditability.
Optimizes Azure SQL Database performance through platform-specific configurations, monitoring scripts, and scaling strategies.
Scroll for more results...