发现database management类别的 Claude 技能。浏览 25 个技能,找到适合您 AI 工作流程的完美功能。
Implements declarative rule-based routing and lattice-based fixed-point computation using Flix-inspired Datalog logic.
Facilitates progressive pattern discovery and schema evolution for DuckLake databases through wave-based expansion and reachability analysis.
Integrates programmatic data operations with Glide Big Tables using REST API v2 and the official TypeScript SDK.
Implements and manages Convex mutation functions with best practices for database operations, validation, and task scheduling.
Updates Claude with the latest PostgreSQL 17 and 18 features, including SQL/JSON functions, MERGE enhancements, and virtual generated columns.
Bridges the gap in Claude’s spatial database knowledge by providing the latest PostGIS 3.5 and 3.6 features, functions, and breaking changes.
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.
Provides specialized guidance for defining, optimizing, and implementing efficient data retrieval functions within the Convex backend-as-a-service platform.
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.
Streamlines the development of robust Convex backends through advanced action implementation, HTTP routing, schema validation, and task scheduling.
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.
Automates full dataset retrieval from the Knack API by managing page limits, rate limiting, and record streaming.
Automates HTI Knack database operations including complex filtering, pagination management, and automated compliance reporting.
Builds and manages semantic memory systems using knowledge graphs and GraphRAG patterns for enhanced AI reasoning.
Optimizes Knack database queries through dynamic filtering, multi-level sorting, and payload reduction for high-performance dashboards.
Accesses and transforms data from Knack objects and views via REST API for operational reporting and data analysis.
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.
Cleans and validates Knack database records to ensure data integrity and regulatory compliance for reporting dashboards.
Constructs category-theoretic knowledge representations to define rigorous database schemas and conceptual models.
Implements in-process SQL databases with time-travel semantics, causality tracking, and deterministic replay capabilities.
Automates universal schema migrations and data transformations using advanced category theory principles.
Converts between Lisp S-expressions and Algebraic Data Sets (ACSets) using OCaml-inspired bidirectional serialization patterns.
Implements Flix-based Datalog reasoning with lattice semantics and GF(3) coloring for declarative routing and skill composition.
Optimizes Azure SQL Database performance through platform-specific configurations, monitoring scripts, and scaling strategies.
Optimizes SQL Server and Azure SQL Database performance through advanced T-SQL query tuning and execution plan analysis.
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