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Found 625 Skills
Clean and format SQL migrations for Supabase - idempotency, RLS policies, formatting, schema fixes. Use when: fix this SQL, clean migration, RLS policy, Supabase schema, format postgres, prepare for SQL Editor, idempotent migration.
Expert-level SQL database design, querying, optimization, and administration across PostgreSQL, MySQL, and SQL Server
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.
Complete guide for using drift database library in Flutter applications. Use when building Flutter apps that need local SQLite database storage with type-safe queries, reactive streams, migrations, and efficient CRUD operations. Includes setup with drift_flutter package, StreamBuilder integration, Provider/Riverpod patterns, and Flutter-specific database management for mobile, web, and desktop platforms.
FastAPI with Supabase and SQLAlchemy/SQLModel
Learn how to use SQLite as a simple and efficient key/value store for your applications, offering benefits like single-file data containment, attachment capabilities, and easy integration with tools like Drift.
Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns. Use PROACTIVELY for FastAPI development, async optimization, or API architecture.
Guide on Prisma, SQLite, and LiteFS for Epic Stack
Vector embeddings with HNSW indexing, sql.js persistence, and hyperbolic support. 75x faster with agentic-flow integration. Use when: semantic search, pattern matching, similarity queries, knowledge retrieval. Skip when: exact text matching, simple lookups, no semantic understanding needed.
Microsoft Azure SQL Database integration. Manage data, records, and automate workflows. Use when the user wants to interact with Microsoft Azure SQL Database data.
Prevent SQL injection attacks using prepared statements, parameterized queries, and input validation. Use when building database-driven applications securely.
Reviews SQLAlchemy code for session management, relationships, N+1 queries, and migration patterns. Use when reviewing SQLAlchemy 2.0 code, checking session lifecycle, relationship() usage, or Alembic migrations.