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。
Streamlines SQLite database operations for data analysis through expert guidance on schema exploration, efficient querying, and data importing.
Standardizes the CSV import process through automated discovery, schema design, and data normalization for relational databases.
Guides systematic SQL query development for data analysis, ensuring accuracy and reproducibility through a structured five-phase process.
Optimizes data entity navigation and prevents N+1 query issues through efficient batch loading and relationship patterns.
Automates systematic data profiling and exploration across multiple SQL database dialects.
Manages temporal versioning and generates relational schemas from category-theoretic ACSet definitions within DuckDB.
Facilitates advanced distributed state management using Conflict-free Replicated Data Types (CRDTs) and reversible computing patterns.
Simplifies data persistence by replacing traditional repository patterns with self-aware, self-persisting entities.
Implement and manage category-theoretic data structures using Attributed C-Sets for robust, schema-first data modeling.
Enforces no-fixed-point permutations and GF(3) color conservation within distributed CRDT state transitions.
Facilitates universal schema migrations and data transformations using category theory principles of left and right Kan extensions.
Analyzes and compares DuckDB and LanceDB schemas using algebraic databases and category theory to identify structural differences and data loss.
Enables temporal versioning, historical querying, and categorical schema generation for DuckDB databases.
Manages complex data structures using category-theoretic formalism for in-memory relational databases and graphs.
Architects robust PostgreSQL schemas using expert normalization, indexing strategies, and zero-downtime migration patterns.
Manages Google Drive using an algebraic database schema and triadic logic to ensure high-order file organization and permission stability.
Implements category-theoretic database design and Double Pushout (DPO) rewriting using Attributed C-Sets for rigorous structural transformations.
Generates DBeaver database client configurations from Pydantic models using mise as a single source of truth.
Implements category-theoretic data structures and algebraic databases using attributed C-sets for advanced technical computing.
Facilitates seamless migrations from Prisma, KeystoneJS, and Next.js projects to the OpenSaaS Stack with expert guidance.
Bridges Lisp-style S-expressions with Algebraic Databases (ACSets) for seamless serialization and data manipulation in Julia.
Enables advanced DuckDB time-travel queries and bi-temporal data tracking with deterministic interaction coloring.
Provides expert guidance on using the Trino command-line interface to interactively query and explore Treasure Data environments.
Generates safe, reversible database migrations and schema transformations for multiple ORMs and raw SQL.
Applies category-theoretic principles and Attributed C-Sets to automate database schema modeling and graph transformation workflows.
Manages PostgreSQL databases on Railway with support for ORM migrations, connection pooling, and automated backups.
Manages and manipulates structured data using category-theoretic algebraic databases and bidirectional navigation.
Builds reactive, local-first applications with sub-millisecond live queries and seamless background data synchronization.
Evaluates and optimizes system architectures for file-based queuing, data persistence, and messaging reliability.
Manages Qdrant vector database deployments on Railway for high-performance AI applications and semantic search systems.
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