SQL 資料庫

Enterprise Supabase PostgreSQL Platform with AI-powered open-source BaaS architecture, Context7 integration, and intelligent PostgreSQL orchestration for scalable modern applications

Enterprise-grade cloud architecture expertise with production-ready patterns for AWS (Lambda 3.13, ECS/Fargate 1.4.0, RDS, CDK 2.223.0), GCP (Cloud Run Gen2, Cloud Functions 2nd gen, Cloud SQL), Azure (Functions v4, Container Apps, AKS), and multi-cloud orchestration (Terraform 1.9.8, Pulumi 3.x, Kubernetes 1.34). Covers serverless architectures, container orchestration, multi-cloud deployments, cloud-native databases, infrastructure automation, cost optimization, security patterns, and disaster recovery for 2025 stable versions.

This is the required documentation for agents operating on the CloudBase Relational Database. It lists the only four supported tools for running SQL and managing security rules. Read the full content to understand why you must NOT use standard Application SDKs and how to safely execute INSERT, UPDATE, or DELETE operations without corrupting production data.

Optional advanced tool for complex data modeling. For simple table creation, use relational-database-tool directly with SQL statements.

SQL 注入漏洞检测与利用。当目标存在数据库查询、搜索功能、登录表单、URL 参数时使用。包括 UNION、报错、盲注等技术。

Validate injection vulnerabilities including SQL, NoSQL, OS Command, LDAP, XPath, SSTI, and XSS. Test by sending crafted payloads to user-controlled input fields and observing application behavior. Use when testing CWE-89 (SQL Injection), CWE-78 (OS Command Injection), CWE-79 (XSS), CWE-90 (LDAP Injection), CWE-917 (Expression Language Injection), CWE-94 (Code Injection), CWE-643 (XPath Injection), or related injection findings.

Automatically detect and prevent common Wheels framework errors before code is generated. This skill activates during ANY Wheels code generation (models, controllers, views, migrations) to validate patterns and prevent known issues. Scans for mixed arguments, query/array confusion, non-existent helpers, and database-specific SQL.

Generate database-agnostic Wheels migrations for creating tables, altering schemas, and managing database changes. Use when creating or modifying database schema, adding tables, columns, indexes, or foreign keys. Prevents database-specific SQL and ensures cross-database compatibility.

Generate database-agnostic Wheels migrations for creating tables, altering schemas, and managing database changes. Use when creating or modifying database schema, adding tables, columns, indexes, or foreign keys. Prevents database-specific SQL and ensures cross-database compatibility.

Guide pgTAP test writing in pgflow. Use when user asks to create tests, write tests, add tests, create test files, fix tests, improve tests, add missing tests, create realtime tests, write database tests, test SQL functions, test broadcast events, test realtime events, add test coverage, create step tests, create run tests, test pgflow functions, or asks how to test database scenarios. Provides test patterns, helper functions, and realtime event testing examples. Use for any pgTAP test creation or modification.

PostgreSQL database documentation - SQL queries, database design, administration, performance tuning, and advanced features. Use when working with PostgreSQL databases, writing SQL, or managing database systems.

TimescaleDB - PostgreSQL extension for high-performance time-series and event data analytics, hypertables, continuous aggregates, compression, and real-time analytics

Comprehensive PostgreSQL-specific table design reference covering data types, indexing, constraints, performance patterns, and advanced features

Comprehensive guide for migrating PostgreSQL tables to TimescaleDB hypertables with optimal configuration and performance validation

Analyze an existing PostgreSQL database to identify tables that would benefit from conversion to TimescaleDB hypertables

SQLiteData advanced patterns, @Selection column groups, single-table inheritance, recursive CTEs, database views, custom aggregates, TableAlias self-joins, JSON/string aggregation

Use when working with ANY data persistence, database, storage, CloudKit, migration, or serialization. Covers SwiftData, Core Data, GRDB, SQLite, CloudKit sync, file storage, Codable, migrations.

Use when adding/modifying database columns, encountering "FOREIGN KEY constraint failed", "no such column", "cannot add NOT NULL column" errors, or creating schema migrations for SQLite/GRDB/SQLiteData - prevents data loss with safe migration patterns and testing workflows for iOS/macOS apps

Use when writing raw SQL queries with GRDB, complex joins, ValueObservation for reactive queries, DatabaseMigrator patterns, query profiling under performance pressure, or dropping down from SQLiteData for performance - direct SQLite access for iOS/macOS

SQLiteData queries, @Table models, Point-Free SQLite, RETURNING clause, FTS5 full-text search, CloudKit sync, CTEs, JSON aggregation, @DatabaseFunction