2,141 件 ・ 関連度順
概要と使いどころ
Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Context Protocol (MCP) tools for automated database operations. Use when creating, configuring, or administering AlloyDB databases. Do NOT use for general PostgreSQL instances (e.g. Cloud SQL) or other GCP databases.
日本語の概要は準備中です。原文の説明を表示しています。
Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
日本語の概要は準備中です。原文の説明を表示しています。
Design robust, scalable database schemas for SQL and NoSQL databases. Provides normalization guidelines, indexing strategies, migration patterns, constraint design, and performance optimization. Ensures data integrity, query performance, and maintainable data models.
日本語の概要は準備中です。原文の説明を表示しています。
Expert in SQLite embedded database development for Tauri/desktop applications with focus on SQL injection prevention, migrations, FTS search, and secure data handling
日本語の概要は準備中です。原文の説明を表示しています。
Diagnose and eliminate the GraphQL N+1 resolver explosion using Facebook DataLoader's per-request batching, plus the second-order defenses (persisted queries, depth limits, cost analysis). Use when a GraphQL query that returns N items in a list triggers N+1 database round trips, when designing nested resolvers that load associations, when a list query times out under load, or when you need to budget query cost before resolvers run. NOT for REST-style endpoint design (use api-versioning-strategy), generic database query optimization (use database-query-optimizer), or schema design (use graphql-server-architect).
日本語の概要は準備中です。原文の説明を表示しています。
Manage database schema with Drizzle ORM and SQLite migrations. Use when adding tables, modifying columns, creating indexes, or running migrations. Activates for database schema changes, migration generation, and Drizzle query patterns.
日本語の概要は準備中です。原文の説明を表示しています。
Find cross-database references between NCBI databases using Biopython Bio.Entrez (ELink). Use when navigating gene to protein/structure, sequence to publication, PubMed to GEO, BioProject to SRA runs, or discovering all link relationships for a record. Covers linkname semantics, cmd= variants, asymmetric link warnings, neighbor_history for >200 input IDs, and per-database link tables.
日本語の概要は準備中です。原文の説明を表示しています。
Define database models with clear naming, appropriate data types, constraints, relationships, and validation at multiple layers. Use this skill when creating or modifying database model files, ORM classes, schema definitions, or data model relationships. Apply when working with model files (e.g., models.py, models/, ActiveRecord classes, Prisma schema, Sequelize models), defining table structures, setting up foreign keys and relationships, configuring cascade behaviors, implementing model validations, adding timestamps, or working with database constraints (NOT NULL, UNIQUE, foreign keys). Use for any task involving data integrity enforcement, relationship definitions, or model-level data validation.
日本語の概要は準備中です。原文の説明を表示しています。
Expert-level database systems theory covering relational model, query processing and optimization, transaction management, concurrency control, recovery, and NoSQL systems.
日本語の概要は準備中です。原文の説明を表示しています。
Azure Cosmos DB SDK for Java. NoSQL database operations with global distribution, multi-model support, and reactive patterns. Triggers: "CosmosClient java", "CosmosAsyncClient", "cosmos database java", "cosmosdb java", "document database java".
日本語の概要は準備中です。原文の説明を表示しています。
Read and write Notion pages, databases, and blocks via the public REST API — query a database with filters, create/update pages, append block content, search the workspace. Use when the user wants an agent to interact with their Notion workspace (e.g., a tasks or docs database) without the MCP server installed.
日本語の概要は準備中です。原文の説明を表示しています。
Execute database migrations across ORMs and platforms with zero-downtime strategies, data transformation, and rollback procedures. Use when migrating databases, changing schemas, performing data transformations, or implementing zero-downtime deployment strategies.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Baserow — baserow open-source database platform management covering workspace organization, database and table inventory, field configuration analysis, view management, webhook monitoring, and user access auditing. Use when reviewing database structures, investigating API integration issues, monitoring webhook deliveries, or auditing workspace permissions.
日本語の概要は準備中です。原文の説明を表示しています。
Query ARCHS4 REST API for uniformly processed RNA-seq expression, tissue patterns, co-expression across 1M+ human/mouse samples. Retrieve z-scores, co-expressed genes, samples by metadata, HDF5 matrices. For variant population genetics use gnomad-database; for pathway enrichment use gget-genomic-databases (Enrichr).
日本語の概要は準備中です。原文の説明を表示しています。
Database migration v3 — Flyway, Liquibase, zero-downtime, rollback, schema evolution, data migration
日本語の概要は準備中です。原文の説明を表示しています。
Database optimization v3 — query plans, partitioning, indexing, connection pooling, PostgreSQL, MySQL
日本語の概要は準備中です。原文の説明を表示しています。
Database architect v2 — schema design, normalization, denormalization, polyglot persistence, sharding
日本語の概要は準備中です。原文の説明を表示しています。
Database Architect IA — Expert en conception de bases de données (PostgreSQL, MongoDB, Redis, schema design, migrations). Optimise le stockage et l'accès aux données.
日本語の概要は準備中です。原文の説明を表示しています。
Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures.
日本語の概要は準備中です。原文の説明を表示しています。
Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.
日本語の概要は準備中です。原文の説明を表示しています。
Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
日本語の概要は準備中です。原文の説明を表示しています。
Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
日本語の概要は準備中です。原文の説明を表示しています。
When addressing slow application endpoints, high database CPU usage, or standardizing data access patterns.
日本語の概要は準備中です。原文の説明を表示しています。
This skill should be used when the user asks to "test for SQL injection vulnerabilities", "perform SQLi attacks", "bypass authentication using SQL injection", "extract database information through injection", "detect SQL injection flaws", or "exploit database query vulnerabilities". It provides comprehensive techniques for identifying, exploiting, and understanding SQL injection attack vectors across different database systems.
日本語の概要は準備中です。原文の説明を表示しています。